About Us
Tactical Autonomy for the Edge

SensorOps gives operators real-time awareness and decision support at the tactical edge, with AI software for autonomous systems, drones, and embedded devices that works offline and in contested environments.

What We Do

We develop software that gives operators better awareness and faster decisions in the field. Our products handle sensor fusion, AI-powered detection, synthetic training data, and simulation environments for defense, public safety, and commercial operations.

TacOS

Edge-deployable AI for multi-sensor fusion, detection, and decision support

TargetModeler

Synthetic data generation for training and validating perception models.

SynDOJO

Simulation environments for operator training and mission rehearsal

Our software is hardware-agnostic, runs offline, and integrates with existing systems including TAK, ATAK, and standard C2 tools.

Why We Exist

Operators in the field face decisions with incomplete information, degraded communications, and no time for delays. Enterprise AI built for data centers does not solve their problems.

SensorOps builds AI that works at the tactical edge: fast, reliable, and under operator control. We optimize for deployment, not demos.​

How We Work

Small team, fast cycles

We ship working software, gather feedback, and iterate quickly

Mission-first engineering

Every feature ties to operator outcomes, not roadmap checkboxes

Small team, fast cycles

We ship working software, gather feedback, and iterate quickly

Mission-first engineering

Every feature ties to operator outcomes, not roadmap checkboxes

Hardware-agnostic

Our software runs on the platforms customers already use

Field-tested

We validate in realistic conditions, not just benchmarks

Hardware-agnostic

Our software runs on the platforms customers already use

Field-tested

We validate in realistic conditions, not just benchmarks

Our Story

SensorOps was founded in 2022 by engineers who spent their careers building autonomous systems for defense applications. Frustrated with the slow pace of traditional programs and the gap between lab results and field performance, they left to build something better.

The founding team combined deep technical expertise in sensors, simulation, and machine learning with operational understanding of how systems actually get used. That combination shapes everything we build: software designed for real conditions, tested against realistic scenarios, and delivered on cycles that match how operators work.

Today, SensorOps serves defense, public safety, and commercial customers who need AI that performs at the edge, offline, and under operational pressure.

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