Computer vision · Geospatial AI · Agentic systems
Over the past 8 years, we've crafted AI solutions for startups and Fortune 500 companies alike. Our expertise spans computer vision, robotics, and drone technologies — building intelligent systems for companies that already have data, but can't fully use it.
Solutions
Our visual intelligence systems integrate detection models, structured data pipelines, and query interfaces into a unified layer — taking organizations from raw imagery to actionable intelligence at scale.
How we build
Four layers that take you from raw imagery to systems your team can act on.
Detect objects, assets, and events from:
Turn raw imagery into structured outputs.
Convert detections into:
Make data usable — not just visible.
Enable interaction through:
Let users ask questions instead of digging through data.
Build continuous intelligence with:
Move from analysis to real-time decision systems.
Queryable intelligence
Detections become a structured, indexed dataset — so anyone on your team can interrogate imagery the way they would a spreadsheet. No SQL, no GIS training, no waiting on an analyst.
Detection
Connect your existing satellite, drone or camera feeds and let our detection models classify what matters — continuously, at scale, without a human watching the screen.
Agents
Agentic workflows that pull from your tools, structure what they find, and take the next action — so your team stops copying data between systems.
Query
Turn imagery and geospatial layers into a dataset anyone can query. No SQL, no GIS training — just a question and an answer backed by real visual evidence.
Industries
The same intelligence stack, tuned to the assets, risks and workflows of your industry.
Measured outcomes
Case Studies
Real deployments across energy, infrastructure, logistics and finance — with the numbers that came out of them.
Energy & Resources
An energy investor needed to assess a multi-state grid territory before committing capital, but local regulatory data was outdated and incomplete. A traditional manual audit was projected at six months.
Energy & Resources
A commercial infrastructure developer needed to verify that a private substation could carry the load of a newly built logistics hub before greenlighting the high-voltage connection.
Energy & Resources
A global energy investor was closing on a portfolio of 47 utility-scale solar sites across 12 countries, with only the seller's data room figures to rely on.
Energy & Resources
An E&P operator managing high-density shale assets was losing $40,000 a day to rig standby, because pad clearance data arrived five to seven days late.
Logistics & Mobility
A regional logistics firm won a contract to move refined product from a coastal refinery — but holding its margin depended on syncing its fleet to the refinery's active loading bays.
Energy & Resources
An operations team responsible for distributed energy infrastructure across thousands of square miles was monitoring it with manual, paper-based field audits.
FAQ
The questions we get asked most often.
AI agents handle end-to-end workflows — from gathering data to executing actions — without needing constant human input.
Setup is quick and straightforward. Most teams can integrate our AI agents into their existing workflows in just a few hours, with immediate results visible within days.
No technical expertise is required. Our platform is designed with a simple, intuitive interface so anyone can deploy, manage, and monitor AI agents with ease.
Our AI agents connect seamlessly with a wide range of apps, platforms, and APIs — including CRMs, project management tools, analytics platforms, and more — so they fit right into your existing ecosystem.
Our pricing for Edge AI implementations is structured to provide flexibility and transparency, tailored to the unique needs of each project. We typically offer the following pricing models:
During the initial consultation, we assess your project requirements and recommend the most suitable pricing model to ensure cost-effectiveness and value delivery.
Our Edge AI design process is comprehensive and structured to ensure the successful delivery of high-quality solutions. It includes the following stages:
This structured approach ensures that each Edge AI project is executed efficiently, meeting both technical specifications and business objectives.
We use a range of metrics to evaluate success, ensuring solutions deliver tangible value against your business objectives:
By tracking these metrics, we ensure your Edge AI projects perform optimally and contribute measurably to your business success.
Our commitment extends beyond project completion. We offer comprehensive post-project support:
Our goal is to build long-term partnerships, ensuring your edge computing and AI solutions remain robust, secure, and aligned with your evolving objectives.
Get started
Tell us what data you already have. We'll show you what an intelligence layer on top of it looks like.
Prefer to reach us directly?
The usual starting point. Walk us through your data and goals, and leave with a concrete view of what's buildable.
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