From freight fleets to commercial spaces — we turn sensors and cameras into actionable intelligence, on the device, without relying on the cloud.

Backed by industry leaders

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Solutions

Three verticals,
one platform

Embedded AI applied to the most critical physical assets in your operation

01
Fleet & Logistics

Intelligent fleet monitoring

We detect anomalies in fuel, speed, and mechanical condition directly on the vehicle. No connectivity required.

  • Fuel theft detection via flow sensors
  • Speed and anomalous behavior alerts
  • Mechanical fault diagnosis via vibration
  • 100% offline — async sync when signal is available
  • On-device ML models, no cloud dependency
See use case →
02
Spaces & Signage

Audience analytics for physical spaces

We measure who sees your content, for how long, and how they react. Turn every screen into a measurable channel.

  • Real-time audience count and demographics
  • Attention time per screen and ad
  • Emotional response analysis to content
  • Data never leaves the device
  • Integration with Power BI, dashboards, and CRMs
See use case →
03
Parking

Intelligent vehicle control

Computer vision on edge hardware detects entrances and exits. Automatic physical traffic lights, web panel, and Telegram bot.

  • Automatic counting with on-device computer vision
  • Per-lot traffic lights — automatic green, yellow, red
  • Web panel with live streams and manual override
  • Telegram bot for occupancy queries
  • Telemetry to Azure IoT Hub for historical analysis
See use case →
Why Solipsis

Built for
the real world

Designed for LATAM conditions — intermittent network, data privacy, and hardware that has to work in the field.

01

On-device processing

Inference runs directly on the installed hardware. We don't send video or sensitive data to the cloud. Faster, more private, more reliable.

02

Built to operate offline

Our systems work in areas without connectivity and sync automatically when signal is available. Critical for freight routes and industrial spaces in LATAM.

03

Native ML on the device

Our anomaly detection models run directly on the hardware installed in the vehicle or space. No network latency, no additional failure points, no dependency on external infrastructure.

Get started

Turn your physical assets
into intelligence sources

Schedule a session with our team and find the right use case for your operation.