Our Approach
When solving one company's problem becomes solving an industry's.
We didn't set out to build a platform. We set out to fix a broken process.
What we found was an industry spending millions on new technology and getting the same broken results.
So we built something different.
From Uncertainty to Action
The problems we set out to solve
GPS coordinates wrong eight times out of ten. Crews dispatched to the same structures repeatedly because previous inspection data couldn't be located or trusted.
Meanwhile, analysis turnaround was measured in months while field conditions changed daily.
We encountered these problems firsthand in 2021 while Detect’s founding team worked to improve operations at a power-line construction company with PilotWave.
We went looking for solutions.
None existed.
We evaluated the market to see if something existed to solve the problem. What we found were new ones.
Drone service providers delivered inconsistent data quality at premium rates. Software platforms promised AI-driven analysis but required months to return results.
All of these options treated symptoms while leaving the foundational data problems unresolved.
So we built what the industry needed
Our founding team combined their experience in utility engineering expertise, data science, and field operations experience to think of something new.
We spent three months alongside crews in the field, building and testing against real operational requirements.
The approach worked.
First customer within three months. First at-scale deployment a few months later. Our growth since then has been our consistent, documented results.
The word spread because the results were undeniable: same-day turnaround instead of months-long waits.
Data you could actually trust. Defects caught before they became failures.
What we learned about the industry
Utilities aren't resistant to technology. They're exhausted by it. They've spent hundreds of thousands of dollars on drone programs, AI platforms, and inspection services.
The results?
The same data quality problems they had before. The same turnaround times. The same crews returning to the same sites because nobody could find or trust the previous data.The problem was never a lack of tools. The problem was that nobody had solved the data foundation.
You can't build reliable AI on unreliable data. You can't deliver same-day results when your photo association is manual and your quality validation happens weeks after crews have left the field.
We built DetectOS to solve those foundational problems first. Photo association. Orientation tracking. Quality assurance. Only then does defect detection matter. Only then can you deliver the turnaround times and trusted results that utilities actually need.
What drives us
Our mission
See and stop failures before they happen. We use autonomous intelligence to protect communities and monitor the grid, ensuring critical infrastructure is stable, secure, and ready for tomorrow.
Our vision
A grid where no failure goes undetected, no community loses power to preventable problems, and every utility has the intelligence they need to move from reactive maintenance to predictive action.
What we believe
Data quality comes first
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The flashiest AI model means nothing on a foundation of unreliable data. We obsess over photo association, orientation tracking, and image quality validation because everything else depends on getting those right.
Speed matters
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A four-month turnaround is a failure. If crews have demobilized before you catch a quality issue, you've already lost. We deliver same-day analysis because the industry deserves better than waiting months for answers.
Expertise validates technology
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Every finding our AI surfaces gets verified by subject matter experts. Technology accelerates the work. Humans ensure the accuracy.
Relationships outlast transactions
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We grew through referrals, not cold outreach. Our clients trust us because we've earned that trust in the field, in the results, and in how we show up when things get hard.
The people behind Detect
Vision in Motion
Founders and execs steering Detect's mission and strategy
Matt
CEO
Joe
COO
Justin
CTO
The Engine Room
Cross-functional leads scaling ops, growth, and systems
Nate
Director of Operational Technology
Kyle
Director of Data Analysis
James
Director of Data Quality
Mohit
Head of Engineering
Parthvi
Software Engineer- AI
Onai
Account Executive
Minds Behind the Build
Designers, engineers, and Al specialists shaping the core product
Michela
AI Engineer
Julia
AI Engineer
Divyanshi
UI/UX Designer
Nitish
Software Engineer
Ethan
Software Engineer
Casey
Software Engineer
Results when stakes are high
$1M+ outage prevented when DetectOS caught an under-torqued bolt on a brand-new HVDC transmission line that QA had missed.
Multi-million dollar warranty claims preserved through 9-day drone audit of 618 remote transmission structures that documented foundation issues before winter freeze-up.
10-year capital deferral ended in 10 minutes when the executive committee saw comprehensive visual evidence of structural decay across aging H-frame transmission lines.