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Summary:

Stockpile numbers affect production plans, sales, and operations bottom-line. But the work to measure and track piles is still too manual on a lot of sites. It’s also inconsistent. If you ask three different engineers to draw the toe of the same pile, you get three different volumes.

That inconsistency kills your end-of-month reconciliation.

We built SAI (Segmentation AI) to fix this. It's an AI-powered tool that automatically finds the toe of your piles and segments them in 3D—no manual polygon drawing required.

In this webinar, we covered:

• New 3D SAI tool We taught our system to recognize what a stockpile looks like. It looks at the geometry of your site—the slopes, the angles, the flat ground—and it draws the boundary line (the toe) for you. It separates the coal from the gravel, and the gravel from the wall.
• The accuracy comparison: We’ll compare the AI’s auto-generated toe lines against manual survey data so you can see and understand the difference.
• Inventory reporting: How to go from flight to a PDF report without drawing a single polygon manually.
• The ROI breakdown: Actual labor hours saved per survey, and what that means for your team's capacity.

Polls:

Q&A:

Do you guys have GCPs available? As an example right now we use Propeller, and they provide us with Aeropoints for our GCPs.

We do not supply GCPs; however we recommend using black and white tiles or using spray-paint marks (X’s or Chevrons) which can be marked as GCPs.  These have the benefit of being a much lower cost, can be left at site for more permanent ground control, and if damaged or destroyed is easily replaced.

I know most of stockpiles inventory is done in summer. Do you AI model takes into consideration snow periods?

In non-ideal survey conditions such as snow covered stockpiles assuming the data can be captured and rendered it will treat the surface of the snow as the surface of the stockpile.  This would not have a change to the functionality of the AI for calculating volumes and determining the toe of the stockpile. These conditions should be noted in the inventory report by the responsible party as the inventory volumes will likely be higher than if the material was not snow covered.

Can this AI remove any equipment like your stickers or reclaimers within a stockpile?

Yes, there is a setting on uploading named “Auto remove equipment” which has an option to select “Conveyor Removal”. This will normally help remove stackers at site automatically in processing.  Also using the DTM surface rather than the DSM surface will help ensure the stackers are removed from the data.

Presenter:

James Kenney, VP of Revenue Operations

With 15+ years in the mining and survey industry, James has worked in as an Engineer across several companies and has accumulated a multitude of knowledge in cutting-edge solutions in photogrammetry, 3D machine vision, AI, and more.

Moderator:

Jose Manuel, Solutions Engineer

With a couple of years in the mining industry, Jose has experience in sales and implementing solutions to improve overall performance. He focuses in driving efficiency in any job he does.

New technologies are rapidly changing the drilling, blasting, mining, and aggregates industries, empowering them in ways never before possible. Make sure you are taking advantage of the best tools available.

Check out our 2 Free E-books on AI applications for the drilling, blasting, and mining industries to see all the amazing advances that are available.

AI Guide for Drilling and Blasting
AI Guide for Mining

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Download Slides:

Summary:

We spent the last four years talking about what AI could do. In 2025, we finally saw what it does do. CEO Ravi Sahu presents the need for AI within the mining industry, how the AI hype is gone, how AI is being used for practical tools, physical AI vs LLMs, mine-to-mill fragmentation and integration, pocket AI and its usability, and more!

Polls:

Q&A:

Can you discuss the differences how LLMs and Strayos's computer vision are trained and worked?

Yes, so LLMs are trained on data that exist on the internet. Any social feed, lots of books, as well as the wikipedia. Anything that's related to the text will utilized to build this LLM that's continually evolving. Strayos models, we predominantly focus on the computer vison, the machine vision. It takes the data such as images, LiDar sensors, or any other information where you can build information from the pixels. Images, videos, LiDar... we structure that information  to find patterns. The typical difference in these models is that these are all visual models. This means it utilizes the networks, which is trained to identify different aspects and the pattern recognition.

Can you explain why Strayos isn't subject to some of the problems LLMs have such as bias, hallucinations, synciffency? (Synciffcency is when chat gpt tells you how wonderful you are all the time and how great everything you do is.)

So I think what I call, hallucinations does exist. It's more in terms of predicting the wrong things from the visual perspective. For an example, if there's a haul road and it has predicted that a bomb which is not necessarily a full bomb but ther's a pile of rock on the side of the road. Those things does exist. What we call the model anomalies or the false positives. We go and retrain those false positives. There's a continuous situation there. Another example is in terms of the rock detections. Alot more bias coming in size detection. We go and retrain those size detection models. In comparison with the LLMs, you have the bias. The LLMs are bias not because it is giving you the wrong information, it's because how it is trained. It's limiting a certain set of knowledge. It may feel like bias but it is resulting from a limited set of information where the model is limited.  

Where does the design measure learn loop break most often in live operations and why?

The design learn loop really what we are seeing it works consistently well in the one department phase which means if you have a blasting department or a geology department, they may update the rock model there. Once going into the mill side, this is where the biggest disconnect happens . You don't have that information readily available until you start to put a process and you start to measure things  more effectively. That's one of the areas we are doing alot of work. How do we build the sensor layer of data collection so that this collection of data comes alot more easier. This is where we see alot more gaps.

What failed more often in AI projects: the models, the data quality, or the operating model.

In our experience, what we have seen is a whole lot related to the data quality. If the data is not good at the very first level, the model fails. We can train this data to find out the data which is bad, but it has not reached to that level yet. The data is the key factor where the model underperforms. The other aspect of the model underperformance is the model has gone through a continuous process and it does require teaching them continuously. The teaching also required the calibration of the models and if the calibration is not happening from the user input side, that's where the model will stay stagnant and it will not continue to improve. The user input is another driving factor along with the model training which is from the AI  engineers who specifically train.  

How concerned should we be that the AI will go rogue and destroy humanity?

For now I think we're at the stage where we're finding basic use cases so I'm not worried about that.

What is general AI?

I understand the question as what is general artificial intelligence which is creating one model that has answers to everything. That's the general intelligence which is  the level of the human intelligence. We are far to away from that. We're still solving word models which is teaching the physics requires alot of computing and training and we are not at that stage, having the general intelligence.

Presenter:

Ravi Sahu, CEO and Founder of Strayos

With a background in engineering and over a decade of experience in digital transformation and product management, Ravi worked with Fortune 500 companies worldwide before founding Strayos. He holds an MBA from Washington University in St. Louis and is knowledgeable and expert in leveraging AI.

Ravi has taken Strayos to the next level by developing advanced computer vision and machine learning solutions to optimize operations, improve safety, and enhance efficiency in the mining industry.

New technologies are rapidly changing the drilling, blasting, mining, and aggregates industries, empowering them in ways never before possible. Make sure you are taking advantage of the best tools available.

Check out our 2 Free E-books on AI applications for the drilling, blasting, and mining industries to see all the amazing advances that are available.

AI Guide for Drilling and Blasting
AI Guide for Mining

Watch our videos:
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Webinar Replay:

Download Slides:

Summary

CEO Ravi Sahu presented a walkthrough of an AI + physics approach to blast‑movement modeling using your existing geology, drilling, and survey data to predict where ore and waste will land after the blast—fast enough to guide digging and plant feed decisions. We covered how to build a 3D post‑blast block model that reallocates ore and waste at high resolution, how the model learns site‑specific parameters (burden, timing, rock characteristics) and updates with new surveys, how an AI + physics engine captures muckpile flow more accurately than traditional estimates, how to produce near‑real‑time ore–waste boundary maps for mark‑out and selective digging, how to run simple “what‑if” tests on timing and burden to reduce dilution before you fire, and how to plug in standard inputs (geology, drill data, pre/post‑blast surveys) and validate predictions with feedback loops. People such as drill & blast engineers and supervisors, mine geologists and grade control teams, and short‑range planners and processing leads attended.

Polls:

Q&A:

How do you prepare the dataset for your AI model? how the inputs and outputs were generated?

You start with your drone survey type and you have to have a high resolution digital elevation models.  Then you have your organized drill design data or your blast parameters. Those are your key inputs. Then you have the geological model data and any type of geotechnical information you can bring in. For example, backbreak data you can bring in. Those are useful there. Then after, from the learning perspective calibration, you can evolve this data set. The other area I would consider is your block models. If you’re block models are continuously being updated, that also helps in the calibration type of model.

Do you use a post-blast drone survey as an input?

Yes, that is one of the key parameters for the AI for the calibration. Utilization of the post blast or drone survey. We take as much data generated from the pre-blast which each movement and then we use that information compared with the post blast what are the significant differences there and then that gets fed back into the AI model.

What software did you use for DEM modeling?

DEM Modeling is mostly the. We don’t use the actual software itself. Within the physics modeling, there are tools: particle n-sis models. That’s on the DEM modeling side.

Is the pre and post blast rock mass balanced?

It doesn’t happen often which mean you may have a pre-blast rock mass survey that has been done or if you have already existing data. After the blast occurs, the data changes. That’s based on the calibration. That depends on the geologist and the control site if they have that data and if they have the new rock mass. that information sometimes is a limiting factor that nobody is collecting that after the blast.

Since data quality matters, have you quantitatively checked how well both the synthetic data your model uses and the synthetic data it produces match real blast data? How do you ensure the quality and realism of these synthetic datasets?

With the approaches as new data is coming and the calibration will become more important. What I anticipate at this moment, the centric data that has been generated it is lively predicting what the burden velocity movement as well as the energy distribution. We are seeing are lively metrics there. After we combine the physics model, the goal is to make the material movement more accurate and that will require more motor trations there.

The quality we make sure that we have a pre cleanup process. any data coming in from the survey side or the drill and blast loading and timing, any additional parameters including the rock blast. We evaluate with the QAQC approach. Then the new synthetic data we are creating. Then for example looking at the rock movement, the XYZ vectors so those also get validated by the scripting technology the accuracy of the data.

Which AI are you using? Is it an off-the-shelf solution or a RAG system based on an open-source model?

This is trained in-house. We don’t use a RAG. It’s a combination of a physics model and a chronolution newal network. You can search and there is a frame work there. There’s no full developed model you can utilize off the shelf but there is framework called physics informed newal network. There have been alot of papers written but that’s kind of the framework we’re using but we still have developed the architecture by taking the chronolution newal network, we trained it,  and incorporated with physics. We don’t use RAG for this as this is an in-house developed system.

Presenter:

Ravi Sahu, CEO and Founder of Strayos

With a background in engineering and over a decade of experience in digital transformation and product management, Ravi worked with Fortune 500 companies worldwide before founding Strayos. He holds an MBA from Washington University in St. Louis and is knowledgeable and expert in leveraging AI.

Ravi has taken Strayos to the next level by developing advanced computer vision and machine learning solutions to optimize operations, improve safety, and enhance efficiency in the mining industry.

New technologies are rapidly changing the drilling, blasting, mining, and aggregates industries, empowering them in ways never before possible. Make sure you are taking advantage of the best tools available.

Check out our 2 Free E-books on AI applications for the drilling, blasting, and mining industries to see all the amazing advances that are available.

AI Guide for Drilling and Blasting
AI Guide for Mining

Watch our videos:
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Webinar Replay:

Summary:

Strayos and MTC presented a focused session on highwall safety, slope stability, rock mass characterization, and lithology mapping powered by AI. The session walked through drone/3D workflows and engineering-ready deliverables designed for fast, traceable on-site decision-making.

Modules: Highwall Safety AI: Design conformance (crest loss, toe flare, over/under-break) and automated reporting. Slope Stability AI: Factor-of-Safety maps and critical-zone detection for bench and ramp design. Rock Mass AI: Discontinuity detection, dip/strike, clustering, and DXF/CSV export. Lithology : 3D lithological characterization for segmentation and mine-to-mill decisions.

En Espanol:

Strayos y MTC presente a una sesión enfocada en la seguridad de taludes altos, estabilidad de taludes, caracterización del macizo rocoso y mapeo litológico potenciado por IA. La sesión revisará flujos de trabajo con drones/3D y entregables listos para ingeniería, diseñados para una toma de decisiones rápida y trazable en terreno (o "en faena").

Módulos:

IA para Estabilidad de Taludes: Mapas de Factor de Seguridad (FS) y detección de zonas críticas para el diseño de bancos y rampas. IA para Seguridad de Taludes Altos: Conformidad del diseño (pérdida de cresta, desviación en la pata, sobre/sub-excavación) y reportes automatizados. IA para Macizo Rocoso: Detección de discontinuidades, manteo y rumbo, agrupamiento (clustering) y exportación a DXF/CSV. IA para Litología: Caracterización litológica 3D para segmentación y decisiones "mina-molino" (mine-to-mill).

Presenters:

Felix Alvarez, Gerente Técnico en Mining Technology Consulting and Nicole Sanchez from MTC.

Daniel Castro, Solutions Engineer at Strayos.

New technologies are rapidly changing the drilling, blasting, mining, and aggregates industries, empowering them in ways never before possible. Make sure you are taking advantage of the best tools available.

Check out our 2 Free E-books on AI applications for the drilling, blasting, and mining industries to see all the amazing advances that are available.

AI Guide for Drilling and Blasting
AI Guide for Mining

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Presentation Slides:

Summary:

Within this deep dive webinar, James Kenney and Elijah Williams share Strayos's platform core capabilities showcasing game-changing new tools including electronic timing modeling, advanced AI powered fragmentation analysis, blast exclusion zones, Netra fragmentation upgrades, and our beta ORBYM system.

Within this webinar, we cover:

Overview of Strayos

• The 4 Pillars of Strayos: Design, Predict, Assess and Optimize
• Digital Twins & Core
• Drill & Blast Workflow
• Site Analytics & Safety AI
• Netra Fragmentation/ PSD System

The Latest features:

• Drill Design Tools
• Fragmentation Tools
• Blast Exclusion Zone
• Tag Project Filter
• Blast Sight
• Rock Mass RMR
• And More!

Watch to see how these tools and features are transforming mining workflows by making overall operations quicker and accurate to make logical decisions.

Presenter:

James Kenney, VP of Revenue Operations

With 15+ years in the mining and survey industry, James has worked in as an Engineer across several companies and has accumulated a multitude of knowledge in cutting-edge solutions in photogrammetry, 3D machine vision, AI, and more.

Moderator:

Elijah Williams, Senior Solutions Engineer

Elijah is experienced within technical support, account management, software, sales and business development for clients across Strayos on a global scale. Planning and executing meaningful solutions to overcome challenges is important in his role.

Spanish Webinar Replay:

Portuguese Webinar Replay:

New technologies are rapidly changing the drilling, blasting, mining, and aggregates industries, empowering them in ways never before possible. Make sure you are taking advantage of the best tools available.

Check out our 2 Free E-books on AI applications for the drilling, blasting, and mining industries to see all the amazing advances that are available.

AI Guide for Drilling and Blasting
AI Guide for Mining

Watch our videos:
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Product Spotlight: Blast Exclusion Zone

Developing and adopting a site security plan for blasting operations is a mandatory practice for all operations. Mines and quarries are extremely dynamic environments, with change occurring daily. As seasons change, sites open up, and structures are built surrounding a mine or quarry, having an updated site security plan is critical. A vital component of any site secrity plan is maintaining a “crow's nest” for the BIC (blaster in charge) to safely put eyes on the site and the blast (if possible). Alongside a crow's nest, identifying exclusion zones for personnel and equipment is also needed. Safety is the name of the game when it comes to explosives, and Strayos is here to help.

Strayos has a powerful tool for improving blast safety on site: The Blast Exclusion Zone.

This tool gives users a calculated distance from a planned blast to inform personnel and equipment removal before blasting operations.  Flyrock damage to structures and equipment can be costly; however, it does not compare to personnel injury or loss. Blasting comes with many risks, this tool makes reporting blast zones easy for all users, and helps reduce some of those risks.

The Blast Exclusion Zone Tool for Safer Blasting Operations

The Blast Exclusion Zone can be found in the Blast Prediction module within Strayos.

To use the Blast Exclusion Zone tool, you must first design a blast on a 3D model, with loading and timing data entered. We use the geolocated drill holes, design loads, and initiation times to calculate the exclusion zones. For this calculation, we use the Richard and Moore empirical model as shown below:

Once the drill design is complete, users can navigate to the Blast Exclusion Zone tool. They will first be prompted to enter an Empirical Constant. This is a geological constant that represents the competency and hardness of the rock being blasted. Next, users can select their settings for calculating distances based on face holes and non-face holes. The settings shown below are toggled on by default.

Lastly, an Equipment and Personnel Safety Factor can be entered for the exclusion zone. The distances will be calculated according to the user's inputs.

Strayos automatically produces a Blast Exclusion Zone report, which can be easily shared amongst teams and site personnel for when its  time to blast. We encourage all users to utilize this important safety tool to enhance their site security plans.

For more information, please reach out to our solutions team at info@strayos.com.

Download our 2 Free E-books on AI applications for the drilling, blasting, & mining industries.

AI Guide for Drilling and Blasting

AI Guide for Mining

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Summary

Blasting is a key process that impacts everything from costs and schedule conformance to dig rates and crusher performance—all influenced by fragmentation. But measuring fragmentation blast by blast has always been cumbersome... until now. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗙𝗿𝗮𝗴𝗥, a cutting-edge, mobile-first AI that harnesses the power of smartphone vision and lidar sensors to make blast fragmentation measurement as easy as snapping a photo. In this webinar, we’ll demonstrate how FragR puts the power of accurate fragmentation analysis right in your hands, empowering you to make data-driven decisions and improve your mine’s overall performance. Learn how this Tiny AI uses 𝙖𝙙𝙫𝙖𝙣𝙘𝙚𝙙 𝙨𝙥𝙖𝙩𝙞𝙖𝙡 𝙙𝙚𝙥𝙩𝙝 𝙖𝙣𝙖𝙡𝙮𝙨𝙞𝙨 techniques to automatically assess rock sizes without the need for manual scales or the perspective issues often faced with traditional 2D methods. 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀

𝗪𝗲’𝗹𝗹 𝗖𝗼𝘃𝗲𝗿:

• Blast Pile Measurement
• Stockpile & Leach Pile Size Monitoring
• Waste Dump Size Assessment
• Underground Drawpoint Monitoring

Join us to see how FragR is revolutionizing mining operations by making fragmentation analysis faster, more precise, and incredibly simple.

Q&A

When you take a pic of the muck pile it is covered only in the top area of the muck pile. How Tiny AI analyses the entire muck pile with one or two pics?

Answer: The FragR app is designed to be able to take multiple images as the muckpile is being dug, where users can merge the data into one statistical output.

Can people link the project with a pre-blast flight to further help the predictive frag AI?

Answer: Strayos can sync the data to the post-blast fragmentation flights within the Strayos web app, which is then used in the fragmentation prediction.

Does this work with an Android?

Answer: Yes, FragR is Android compatible

What is a convolutional neural network model, and how does it work?

A Convolutional Neural Network (CNN) is a type of deep learning model particularly effective at processing grid-like data, such as images. It's widely used in computer vision tasks like image classification, object detection, and segmentation.

When taking photographs with the cell phone, should we create a project in Strayos or is there a section just to carry out the fragmentation of the blast carried out?

Users do not need to create projects in the Stryaos web app, the FragR app can be run independently of the Strayos web app.

Is internet connection required to process the image?

No internet connection is needed to run the apps functionality. Any syncing of data to the Strayos web app will need connection.

What is the cost to use it after the free trial?

Please reach out to our team for pricing information.

Does Fragr work with both smartphones and computers?

FragR works on mobile devices with dual lenses. Computers will not be compatible.

Is there a price point for the FragR subscription per month or year?

Please reach out to our team for pricing information.

How about distance between the device and material fragmented? How about the accuracy? For some opportunity, the Xmax number still not same with real size.

Our recommended distance for capturing images is 3-5 meters. The smaller the particle size, the closer you want to be to the pile.

Presenter

Ravi Sahu, CEO and Founder of Strayos

With a background in engineering and over a decade of experience in digital transformation and product management, Ravi worked with Fortune 500 companies worldwide before founding Strayos. He holds an MBA from Washington University in St. Louis and is knowledgeable and expert in leveraging AI.

Ravi has taken Strayos to the next level by developing advanced computer vision and machine learning solutions to optimize operations, improve safety, and enhance efficiency in the mining industry.

New technologies are rapidly changing the drilling, blasting, mining, and aggregates industries, empowering them in ways never before possible. Make sure you are taking advantage of the best tools available.

Check out our 2 Free E-books on AI applications for the drilling, blasting, and mining industries to see all the amazing advances that are available.

AI Guide for Drilling and Blasting
AI Guide for Mining

Watch our videos:
YouTube

Follow Us on Social Media:
LinkedIn
Facebook
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Summary

In this insightful webinar, Herry Saputra from Dyno Nobel Indonesia shares how combining drone mapping technology with AI-powered analytics is transforming blasting operations. Traditional drone applications—like pre- and post-blast comparisons, blast videos, and sample-based fragmentation analysis—only scratch the surface of blast performance evaluation. But there’s a better way.

We’ll dive into the innovative integration of drones and AI used at the Martabe Gold Mine in North Sumatra, Indonesia. Learn how drone imagery, and advanced AI algorithms come together to deliver comprehensive insights that go beyond traditional methods.

Key Takeaways from the Webinar:

• Detailed Digital Twins for accurate performance monitoring
• AI-based collar detection and fragmentation size measurement
• Muckpile profile analysis, cast material measurements, and floor prediction models
• Achieve 99% ore tonnage prediction accuracy using drone data and AI, comparable to LiDAR technology
• Cost-effective, user-friendly alternatives to LiDAR without sacrificing accuracy

Polls:

Q&A:

Can Strayos predict where ore boundaries moved after a blast or preblast?

• Strayos has a module called Ore Body Movement (ORBYM) which can predict the ore movement based on several blasting parameters and block model data. Reach out to our team to learn more.

The drone fragmentation shows the top of the muckpile that is coarser then the average fragmentation. Do you have a solution for this limitation?

• Strayos offers two solutions for continuously monitoring fragmentation within muckpiles. One is our Netra camera, which can be installed at primary crushers or truck overpasses for continuous monitoring. Second, is our FragR app, which is a mobile app offering fragmentation analysis through mobile analysis.

Can I draw a conclusion from you GCP case study that GCPs are only needed for applications where precise georeferencing is needed, but for applications that are "relative" i.e. do not require any geospatial reference GCPs are not required. For instance we won't need them for comparing individual, isolated pre/post blast DSMs, right?

• Correct, GCPs are always recommended if precise georeferencing is needed.

Do the mine is using those tools on a daily basis?    Do they have the capacity to use all the data for continuous improvement? If yes, what were the results in blast optimization?

• Yes, mines are using the software daily for continuous improvement. With Strayos being a cloud-based platform, all the data can be accessed for utilized for long-term improvements.

Presenter:

Herry Saputra, Sr Technical Service Engineer of DYNO Nobel Indonesia

New technologies are rapidly changing the drilling, blasting, mining, and aggregates industries, empowering them in ways never before possible. Make sure you are taking advantage of the best tools available.

Check out our 2 Free E-books on AI applications for the drilling, blasting, and mining industries to see all the amazing advances that are available.

AI Guide for Drilling and Blasting
AI Guide for Mining

Watch our videos:
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Strayos is proud to introduce...

Mingzhi (Jason) Cai

Mingzhi (Jason) is another one of our star interns as an Artificial Intelligence Intern and we are grateful for him to join us this summer!

Mingzhi (Jason) has travelled from China to pursue a his interests in technology. He currently studies a Masters in Computer Science and Artificial Intelligence at Washington University in St. Louis, Missouri.

We had the opportunity to sit down with Mingzhi (Jason) to discuss his interests in technology, AI, and Strayos.

What inspired you to study what you are studying?

A fondness for computer-related content.

What interested you about Strayos? Why did you apply?

AI technology is a hot project in the future. I hope to achieve more in-depth learning results in areas such as AI learning and LLM applications through Strayos.

What do you want to do in the future?

Occupations related to software development, or AI development and application, etc.

How do you see your time at Strayos contributing to your plans? What do you hope to accomplish during your time with us?

Strayos enables me to understand the operation mode of enterprises or companies in actual situations, thereby making targeted adjustments to my learning and application. Meanwhile, I can also conduct more off-campus learning through the resources of Strayos during my internship I hope that during the internship period of more than two months, I can gain something in LLM and complete a related project.

What are you working on right now?

Studying in LLM.

Tell us something personal about you!

I like Italian cuisine.

Thank you Mingzhi (Jason) for joining our team!

We appreciate all you do for Strayos and we're thrilled to see where this journey will lead you to!

Interested in an internship at Strayos?

We love our team. Without them, we wouldn't be here.

Watch these videos by our 2020 summer interns!
Strayos Mining Intern Experience
Strayos Business & Marketing Intern Experience

Strayos is proud to introduce...

Zachary Sanders!

Zachary Sanders is our star Finance and Strategy Analytics Intern and we are happy for him to joining us this summer!

Originally from Scarsdale, New York, Zachary is pursing Business Administration with Concentrations in Finance and Data Analytics at the University at Buffalo, SUNY.

We sat down with Zachary to learn more about his passions in Finance, Data Analytics, and most importantly, Strayos.

What inspired you to study what you are studying?

I’m studying Finance and Data Analytics because I’m passionate about solving complex, real-world problems at the intersection of business strategy and technology. My early exposure to leadership roles and consulting projects taught me the value of making decisions backed by both financial insight and data-driven reasoning.

What interested you about Strayos? Why did you apply?

What initially interested me about Strayos was its unique position at the intersection of AI, data analytics, and mining. As someone studying Finance and Data Analytics, I was drawn to how Strayos applies cutting-edge technology to transform traditionally manual, high-stakes environments. Since I began college, I have been fascinated by the world of technology and artificial intelligence. To be able to support such a unique and niche industry with my background in Finance and Data Analytics is an opportunity I could never say no to.

What do you want to do in the future?

In the future, I want to start my own company. There is a lot that interests me now, so I couldn't say specifically what that company will do. What I can say for sure is that once my ideas, passion, and hard work come to fruition, it will shake the world!

How do you see your time at Strayos contributing to your plans? What do you hope to accomplish during your time with us?

Strayos is a small company and still relatively very young. Working at a small company like this provides me with numerous opportunities to interact with the CEO, engineers, marketing team, sales team, and others. Most people who intern at larger companies typically remain stationary within them. In contrast, I have been given numerous opportunities to be an active part of the company and contribute to its growth. Not only that, but I have the chance to hear about how the company was started, and learn about what it takes to run a successful business. I have no doubt that I will one day use what I learn here to succeed in my endeavors.

What are you working on right now?

Currently, I am collaborating with the sales team to enhance the CRM and engage with clients and partners, supporting the company's relationships and identifying areas for improvement.

Tell us something personal about you!

My favorite hobby is playing the piano! During the COVID-19 pandemic, I used my free time to teach myself how to play the piano and have been playing ever since. I love it to death, and have started teaching myself how to play guitar as well now.

Thank you Zachary for joining us this summer and we are excited to be working with you here at Strayos!

Interested in an internship at Strayos?

We love our team. Without them, we wouldn't be here.

Want to see more team spotlights? Check out our blog!

Watch these videos by our 2020 summer interns!
Strayos Mining Intern Experience
Strayos Business & Marketing Intern Experience

Strayos is proud to introduce...

Sheryn Rose Espinosa!

Sheryn is our star Marketing Strategy and Analytics Intern and we are thrilled for her to join us and the team this summer!

Sheryn grew up in Long Island, New York and attends the University at Buffalo, SUNY studying a Business Administration Degree with Concentrations in Marketing and Data Analytics with a Minor in Psychology.

We sat down with Sheryn to learn more about her interests in Marketing, Data Analytics, Psychology, and the mining industry!

What inspired you to study what you are studying?

I've always been fascinated by why people choose certain brands and their behaviors between the brands. This curiosity led me to Marketing and Data Analytics and my Minor in Psychology to fully understand consumer behaviors, how to narrow people down towards a purchase, and using the data that drives decision for the marketing campaigns and events of tomorrow.

What interested you about Strayos? Why did you apply?

In any opportunity I am given, I strive to make a long-lasting impact towards the company and most importantly, the customers/audience. I first heard about Strayos from one of my great friends who had a fantastic experience interning with them. I started researching and diving deeper into what the company is and does. What truly interested me was the vision that Strayos aims to revolutionize the mining industry with AI and technology to create time and money efficiency and to increase safety for miners. That's when I knew I wanted to use my experiences in Marketing and Data Analytics to improve and make a permanent impact in a specific and niche industry.

What do you want to do in the future?

Marketing and Data Analytics allows me to identify opportunities and bring them to life—from initial idea to strategy, execution, and results. At a small company like Strayos, I get to be involved in every phase of the process, which makes seeing the impact of my work even more meaningful. Potentially becoming a Marketing Analyst or an Events Marketing Specialist is the goal.

How do you see your time at Strayos contributing to your plans? What do you hope to accomplish during your time with us?

By interning at a small company, I've been able to interact and grasp the perspectives from various people from different departments such as the CEO, sales team, engineers, the marketing team, and more. Additionally, being able to have the creative freedom to brainstorm and work on unique projects tailored towards a unique industry has been great. With Strayos, I am analyzing their social media data identify opportunities for easy and immediate improvement to their reach and retention. Then assisting in executing the improvements. I am also helping to improve segmentation of their email list for more targeted outreach

What are you working on right now?

I'm creating a customer spotlight campaign by interviewing customers, post processing, creating graphics, shorts and blogs. expanding company's LinkedIn reach, email segmentation for more targeted customer advertising, and optimizing Youtube.

Tell us something personal about you!

One of my favorite hobbies is traveling across the country or the world. I love sightseeing, trying new foods, and meeting new people. Exploring new cultures and the history behind different countries sparks my fascination. Time is short, the places and the memories made are unforgettable, and so, why not explore?

Thank you Sheryn for joining the Strayos team this summer and we are thrilled for what the journey entails!

Interested in an internship at Strayos?

Watch these videos by our 2020 summer interns!
Strayos Mining Intern Experience
Strayos Business & Marketing Intern Experience

Strayos is proud to introduce...

Spencer Micheal Pace!

Spencer is another one of our star interns joining the team this summer from Pecatonica, Illinois and we are thrilled to have him join our team!

Pursing his Bachelor of Science in Applied Technology at the Brigham Young University-Idaho. Spencer's passion in problem-solving has inspired him to explore the endless solutions within the ever-changing technology sector.

We had the chance to chat with Spencer to hear more about why he decided to intern with Strayos and how he can make a true impact on the Mining Industry.

What inspired you to study your field of interest?

Natural curiosity pushes me in many directions because I like understanding how things work. Growing up, I saw technology evolve around me, and toward my adolescence, I became more and more curious with how computers work. I was exposed to light coding in high school. Many years later, it's what pushed me to start investing time into truly studying technology in a more formal setting. The world of computers and technology is constantly growing and it helps me pursue my curiosity in constructive ways because it's an ever-evolving landscape.

What interested you about Strayos? Why did you apply?

While artificial intelligence continues to have prominence in the media, its nature is usually concealed and its purpose misinterpreted. Going in, I had some knowledge on topics such as evolutionary algorithms and had seen its practice in small-scale environments. To be honest, I was interested in expanding the boundaries of my knowledge in a real-world environment. The idea of getting to work alongside AI engineers and affect the mining industry in a positive way pushed me toward applying.

What do you want to do in the future?

I am driven by my passion for solving problems, and I am open to exploring possibilities I can pursue within the technology industry. I'm interested in three specific areas: Systems administration, Networking, and Security. All three areas are connected, yet each offer unique and interesting challenges that can help me to grow into my full potential.

How do you see your time at Strayos contributing to your plans? What do you hope to accomplish during your time with us?

With Strayos, I'm able to see many of the things I have studied over the years in action. More importantly, I am being exposed to areas of the industry that I haven't seen or have had limited experience with. Formal education is a great starting point; however, I've long hoped to actually contribute to a real experience. My goal is to learn, grow, and have a true impact on the world.

What are you working on right now?

At Strayos, I am exploring the intricacies of interconnected, real-world systems, and discovering the world of continuous integration and deployment. Alongside my internship, I am working toward graduating in July and pursuing the Windows Server Hybrid Administrator Associate certification and a Microsoft certification focusing on managing Windows servers in a hybrid work environment.

Tell us something personal about you!

I've always enjoyed stargazing.

Ever since I was little, I've been fascinated with space, and as I've gotten older, I find it grounding, which is a bit ironic.

A friend told me that I probably like it because it connects me to my past, present, and future; a way to look into eternity, yet not feel intimidated. That perspective made sense to me, and I've taken it as a reason why astronomy and stargazing have always been among my fascinations.

I still take long night walks or bring out my telescope to find ways to relax and enjoy what makes me, me.

Thank you Spencer for joining our team! We appreciate all you do for Strayos and we're thrilled to see where this journey will lead you to!

Interested in an internship at Strayos?

We love our team. Without them, we wouldn't be here.

Watch these videos by our 2020 summer interns!
Strayos Mining Intern Experience
Strayos Business & Marketing Intern Experience

Strayos is proud to introduce...

Vivek Talwar!

Vivek is one of our star interns working towards his Master of Science in Computer Science from the International Institute of Information Technology, Hyderabad .

Originally from Ahmedabad, India,  Vivek knew that to master his craft he would need to leave behind his home and venture to Hyderabad to learn from the best. Then, he found Strayos. Now…

We sat down with Vivek to learn a little more about the man behind the machine.

What inspired you to study what you are studying?

My passion for computing and machine learning drove me to the one of the finest colleges in India to pursue computer science research in Artificial Intelligence.

I joined IIIT-Hyderabad as a Young Research Fellow working at the intersection of Healthcare and Artificial Intelligence and was offered a seat in their prestigious Masters by Research Program in Computer Science Engineering. There I was guided by esteemed professors who are experts in the field of Computer Vision and Machine Learning. I honed my skill set as a Computer Vision researcher by enrolling in fascinating and challenging courses applying AI in industrial settings.

What interested you about Strayos? Why did you apply?

Strayos is an interesting startup in the mining industry. The work it does in the field of 3D Computer Vision, Photogrammetry, Drone Mapping makes it a front-runner in the industry. I wanted the experience of building software from scratch and deploying it in real-time. That was what inspired me to apply for the Computer Vision Engineer Intern role at Strayos.

What do you want to do in the future?

I want to build systems focused on human centric artificial intelligence especially in the field of Computer Vision. It is a powerful technology that will influence a spectrum of industries from healthcare to mining and we have just scratched the surface of the potential applications for artificial intelligence.

How do you see your time at Strayos contributing to your plans? What do you hope to accomplish during your time with us?

My time at Strayos is contributing to my plans by giving me a holistic understanding of how to build a software product from end-to-end- from ideation to deployment. I want to maximize my learning in the domain of industrial mining and my key take away is how to build robust, modular, and efficient software for customers as an enterprise AI company.

What are you working on right now?

I am currently working on the challenge of stockpile estimation. Inaccurate Stockpile inventory management leads to issues like incorrect material flow measurement, uneven distribution, conveyor wear, material composition variability, and misaligned belts. These problems cause inefficiencies, higher costs, and safety risks.

To overcome this we are building an end-to-end computer vision pipeline for detection and segmentation of stockpiles from input data fed via drones in the Strayos software.

Tell us something personal about you!

I am very inquisitive person in life and a voracious reader. I really like to read non-fiction books in the genre of business, venture capital and the technology eco-system overall.

I am inspired by the stories of successful founders in Silicon Valley and hope to build world class technology products and deliver value through the code I write.

For me, my biggest inspiration is my late father who did a lot of hard work in bringing me up as a single parent. I aspire to work in the heart of Silicon Valley one day leading the frontier of the technology I expertise myself in.

Thank you Vivek for joining our team, its been an amazing journey so far and we're so excited to see what we accomplish next!

Interested in an internship at Strayos?

We love our team. Without them, we wouldn't be here.

Want to see more team spotlights? Check out our blog!

Watch these videos by our 2020 summer interns!
Strayos Mining Intern Experience
Strayos Business & Marketing Intern Experience

Haul Roads in mines and quarries see heavy equipment traffic and abuse from hundreds of thousands of tons of materials moved per day. The larger the site, the more equipment is needed to maintain production transporting material from the pit to the plant.

With this kind of intense wear and tear, having the ability to easily and quickly monitor haul road conditions is critical.

Adequately monitoring haul road conditions requires fast and accurate inspection and evaluation methods that immediately and easily bring decision-making intelligence to the people carrying out the operations.

Strayos offers a powerful tool to automate haul road detection, analysis, monitoring, and reporting: Strayos’ Haul Road AI

With Strayos’ AI and digital twins, mining operations can analyze their haul roads easily and instantly without  interrupting operations or putting team members on the roads.

Using drone survey data and Strayos’ AI, the haul roads within the site are automatically detected, analyzed, modeled, and key metrics (road grade, width, berm height, and cross-falls) are reported instantly.

Most mining and quarrying operations already collect aerial data frequently. Now imagine taking that same data and applying Haul Road analysis to the pit flyover, extracting even more value from the standard survey data already being collected.

See Strayos’ Haul Road AI in Action

Haul Road AI’s 5 Most Powerful Tools

It’s no secret that heavy machinery is not cheap to acquire, run, and maintain. Monitoring haul roads along with the fuel consumption, tire life, and lifespan of the trucks’ cycling will only assist in cost savings through the lifespan of the machinery.

1. Grade Analysis

Strayos’ Haul Road AI automatically detects haul road grades and alerts you to areas with risky or sudden changes. Strayos creates a workflow for its users that conducts rapid analysis of Haul Road grades, to then feed the decision-making process for areas of Haul Roads that require attention. Grade changes can happen quickly,  having a direct effect on daily production rates within a Mine or Quarry.

Setting thresholds to categorize grades throughout a mine haul roads can quickly provide analysis..

Analyzing elevation profiles of specific road segments can provide more granular information such as where excessive changes in grade can affect haul truck performance. Sudden jumps in grade change can have a negative effect on haul truck haul times, excessive engine wear, and fuel consumption.

2. Road Width

Road width is critical to measure and maintain for haul road safety and compliance purposes, as well as ensuring smooth traffic flow. As pit conditions change over time, haul roads can become pinch points for traffic flow, also creating safety hazards. Monitoring road width can identify these problematic areas before they create potential incidents.

3. Cross Falls

As weather cycles pass through Mines and Quarries, managing water runoff becomes critcal. Washed out haul roads do not only slow down traffic, but also create safety concerns for roads above and below. Freeze and thaw cycles will also have serious effects on haul roads as seasons change, where precipitation can create hazardous road conditions. Measuring Cross Falls provides engineers with information regarding how Haul Roads are changing and where roads are banking or draining precipitation.

4. Berms

Carrying along the topic of Safety, Berms may be the most critical point to measure when conducting Haul Road Analysis. Per MSHA requirements, berms must be at least mid - axle height of the largest self propelled mobile equipment that travels the roadway. With the help of AI, berms are automatically detected and measured when conducting Haul Road analysis. Custom thresholds can then be set to ensure compliance is being met within the Mine or Quarry.

5. Change Monitoring

Change is always occurring, whether we like it or not. Haul roads on site will change due to traffic patterns,  precipitation events, freeze/thaw cycles, and excavation, just to name a few.

Being able to monitor road conditions to see where change is occurring and maintaining proper road design will help keep the operation running. Not to mention the ability to monitor progress on maintenance work.

Road Warrior

All of this starts with the initiative to mine smarter, safer, and more efficiently. The tools are out there to use, and the resources have never been so abundant. Gain more value from your survey data to boost your operations with Strayos Haul Road Analysis.

Download our 2 Free E-books on AI applications for the drilling, blasting, & mining industries.

AI Guide for Drilling and Blasting

AI Guide for Mining

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