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LANARS

Oslo, Norway

10-49€45-85/hrFounded 2016
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About

LANARS is an Oslo hardware and software firm founded in 2016, pairing machine learning with embedded and edge engineering. It builds computer-vision systems that run on devices in the field, alongside IoT platforms and mobile applications.

Who They Work With

Hardware startups that need firmware, apps and cloud built by one team, with model work brought in alongside.

Clients:B2B
Engagements:Embedded teams

Based on 2 client engagements with a source URL · researched 9 Sept 2026

Our Take

The case studies are better built than most, and the strongest one is not AI. Defigo documents an eight-year engineering partnership: Flutter apps, a Node.js and WebRTC backend at sub-second video latency, C++/Qt firmware on the control unit, 65,000 daily users, 3,000 installations and 55 million door openings.

The AI flagship is SelectAI, an in-cage vision unit for Norwegian salmon farms—three synchronized cameras under multispectral lighting, on-device pre-processing feeding cloud inference, more than 15,000 fish analyzed, classified against the regulator's own five-class lice taxonomy with no internal remapping. Live pilots today, with automated-counter approval targeted for end-2026.

The division of labor is published rather than blurred: LANARS wrote the firmware, the embedded vision stack, the annotation platform, the cloud path and the over-the-air pipeline, while model architecture, training and validation sat with a partner, AI Experts. That is the thing to probe.

The weaker fit is a buyer who needs the models themselves owned in-house by the supplier.

Key strengths

  • The SelectAI write-up separates what each party built, naming the partner that owned model architecture, training and validation
  • Defigo documents an eight-year engineering partnership with running numbers: 65,000 daily users, 3,000 installations and sub-second video latency
  • Edge constraints are treated as the design problem—three synchronized cameras, multispectral lighting and on-device pre-processing feeding cloud inference

Good to know

  • Model work on the flagship AI project belonged to a partner—ask who would train and validate models on your engagement
  • SelectAI is described at live-pilot stage with regulator approval targeted for end-2026; ask what runs unattended today
  • 36 people on LinkedIn against offices in Oslo, Edinburgh and Vilnius—confirm which site staffs your project
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 9 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: SelectAI, Defigo, and Liquid Tool. All 3 carry a source URL on file.

SelectAIFirmware, embedded vision stack, annotation platform, cloud path and over-the-air pipeline for an in-cage sea-lice counting unit; model architecture, training and validation sat with partner AI ExpertsSource
DefigoEngineering partner since 2018 across Flutter apps, a Node.js and WebRTC backend, an Angular admin, device management and C++/Qt firmware; 65,000 daily users and 3,000 installationsSource
Liquid ToolIndustrial coolant monitoring for metalworking: sensors and control unit hardware plus the monitoring software and plant-system integrations; the client company itself is not namedSource

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