Networked sensors and automation infrastructure
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Solutions

Innovative
Technologies

Drones, license plate recognition, cameras, and sensor networks all end at the same place: an enormous stream of data that has to be ingested, stored, governed, and made useful. That is the part Mentat builds.

Where we fit

We do not sell the sensors. We build the platform underneath them.

Agencies and enterprises rarely struggle to procure new technology. They struggle to operate it. The aircraft arrive, the cameras go up, the sensors get mounted, and then the real work starts: making thousands of field devices manageable, moving their output somewhere durable, and being able to answer questions about it years later.

Mentat brings the same automation, security, and platform engineering discipline we apply to cloud infrastructure to these systems. Devices become inventoried assets. Feeds become governed pipelines. Retention and access become policy the platform enforces rather than guidance people are asked to follow.

Capability areas

Technologies we build for

Aerial Systems

Drones & Uncrewed Systems

Docked fleets, Drone as First Responder, and inspection programs need more than aircraft. We build the telemetry, video, and evidence infrastructure underneath them.

Vehicle Intelligence

License Plate Recognition

Millions of reads a day across mixed vendors. We normalize them, enforce retention and purpose limits in code, and make every query auditable.

Video Systems

Cameras & Video Intelligence

Mixed-vendor camera estates, tiered storage, and analytics that run where they should. Video infrastructure that does not fall over at scale.

Sensor Networks

Acoustic & Sensor Networks

Thousands of field devices, each one a small computer you cannot easily reach. We build the provisioning, telemetry, and tuning layer that keeps them useful.

Fusion & Command

Real-Time Operations Center

The capstone layer. Correlating drone, LPR, camera, and sensor feeds into a single, auditable operating picture instead of six competing consoles.

AI Infrastructure

Edge AI & Computer Vision

The platform layer under every other technology here. Model packaging, staged rollout, drift monitoring, and deterministic guardrails around probabilistic output.

The common layer

Different sensors, same four problems

Whatever the hardware, the engineering underneath converges on the same set of concerns. Solving them once, properly, is what lets a program add its next technology without starting over.

Ingest that survives the peak

Sensor systems fail at the moment they matter most, when everything fires at once. We size ingest for the incident, not the average Tuesday.

Retention as executable policy

Retention schedules, legal holds, and purpose limits written as code the platform enforces, with verifiable evidence that deletion occurred.

Accountability by construction

Attribution, justification, and immutable audit logging built into the data path, so oversight questions have answers that do not require a special project.

Fleet operations, automated

Thousands of field devices provisioned, configured, updated, and monitored from version control, using the same automation discipline as any server fleet.

Related

Related Mentat capabilities

All ServicesArtificial IntelligenceCloud Services

Planning a technology program?

Get the platform right before the hardware arrives.

We can assess where your current sensor programs stand on ingest, retention, automation, and audit, then map what it takes to run them at the scale you are planning for.

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