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Edge AI

Edge AI runs models on devices and local hardware instead of a remote server. That helps when you need fast responses, limited connectivity or data that shouldn't leave the site.

Illustration of Edge AIPERSON 0.96OBJECT 0.91LIVEHardwareModel optimizat…On-deviceFleet updates
Focus
Run AI on devices and local hardware for speed, privacy and offline use.
Building blocks
Model compression and quantization · Edge runtimes · Embedded and gateway hardware · Over-the-air updates
Suits
Teams with devices at sites or in vehicles

Built around your business.

Running on constrained hardware changes the design. We size models to the device, plan updates and monitoring, and keep a clear line between what runs locally and what goes to the cloud.

What we deliver.

  1. 01

    Hardware and constraint review

    Processing power, memory, connectivity and power limits of your devices.

  2. 02

    Model optimization

    Compressing and adapting models to run within the device's budget.

  3. 03

    On-device application

    Software that captures input, runs inference and acts on the result locally.

  4. 04

    Fleet updates and monitoring

    Safe over-the-air model updates and health reporting.

Where it's used.

On-site detection with limited bandwidth

Running vision models on a local gateway instead of streaming video.

Offline-capable field tools

Apps that classify or read data with no signal.

Low-latency decisions

Responses in milliseconds where a cloud round trip is too slow.

How we work.

  1. 01

    Discover

    We agree the problem, the data available and how success will be judged.

  2. 02

    Prove

    A small, testable version on your own data shows what works before larger spend.

  3. 03

    Build

    Production engineering: integrations, safeguards, review steps and monitoring.

  4. 04

    Improve

    We measure real usage, fix what falls short and keep quality and cost in check.

Best fit.

  • Teams with devices at sites or in vehicles
  • Products with privacy or connectivity constraints
  • Vision projects with heavy video volumes

Why Q3 Labs.

Senior people on the work
You work with the specialists doing the project, not a hand-off to a junior team.
Marketing and engineering together
Design, development, data and growth sit in one team, so a solution is built with adoption in mind.
Plain reporting, no lock-in
Clear progress reporting and no long-term contracts. You keep ownership of your assets and accounts.

Frequently asked questions

Talk to us about Edge AI.

Tell us what you're trying to achieve. We'll tell you how we'd approach it, and whether Q3 Labs is the right fit.

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