Kognic review: a driving-first robotics data company for sensor fusion

Answer in brief: Kognic, founded in 2018 in Gothenburg, Sweden, provides a multi-sensor annotation platform and specialist workforce for camera, LiDAR and radar data. You can buy it as a managed service, a platform license or a hybrid. It reports 100M+ annotations across 120+ projects, offers 90+ automated quality checkers, and has Language Grounding workflows for vision-language-action models. It is purpose-built for autonomous driving and also serves robotics and industrial automation. Pricing is enterprise-only.

Directory category: Sensor and LiDAR annotation. Last updated: 2026-11-09. This is independent research from Kognic's public site; we have not tested Kognic.

At a glance: Native 3D/LiDAR plus sensor fusion · managed, platform or hybrid · 90+ automated quality checkers · ISO/IEC 27001:2022, SOC 2 Type II, TISAX assessed.

What Kognic does for robotics data

Kognic covers the full annotation lifecycle, from data ingestion to quality-assured export, for perception, planning and end-to-end model training. It pairs domain-trained annotators with LLM-assisted automation and pre-labeling. Beyond routine labels it supports trajectory ranking, multimodal grounding and Language Grounding: annotators describe why events happen and what the system should do, using Write, Edit, Rank and behavior modes.

Who it fits

• Mobile robots and vehicle-like platforms with camera, LiDAR and radar rigs.
• Teams that want to mix their own annotators with Kognic's, or switch between the two.
• Security-sensitive programs that need ISO 27001, SOC 2 and TISAX.

Strengths: flexible buying, automotive-grade rigor

• Three deployment models: managed service, platform license or hybrid with your preferred workforce.
• Automation: Kognic says pre-labeling cuts annotation time by up to 68% across customers.
• Quality: More than 90 automated quality checkers designed for driving scenarios.
• Next-gen models: Language Grounding annotation for VLM and VLA models.
• Security: ISO/IEC 27001:2022 certified, SOC 2 Type II certified and TISAX assessed.

Honest drawbacks

• The product, quality checkers and case studies are driving-first, with little public evidence of manipulation or humanoid work.
• No data collection.
• No public price list or freemium tier.

Pricing model

Enterprise pricing based on project scope, data volume and deployment model. Contact Kognic for a quote.

Notable customers and facts

Kognic names customers including Qualcomm, BMW, Zenseact, AUMOVIO, Bosch, Kodiak, ZF, Einride and JLR. It says Zenseact achieved up to 46% cost savings on dynamic object annotation through pre-label workflows, and that most teams go from first conversation to active annotation within a few weeks.

Best alternatives to Kognic

• Segments.ai: multi-sensor labeling software with published usage floors.
• iMerit: managed perception labeling across many robot domains.
• Sama: 14-sensor scenes with a written quality guarantee.

Kognic FAQ

Does Kognic work with robotics companies?

Yes. Kognic says it is purpose-built for autonomous driving and also works with robotics and industrial automation companies.

How can I buy Kognic?

As a managed service, a platform license for your own team, or a hybrid with your preferred annotation partner.

How much does Kognic cost?

Kognic uses enterprise pricing based on scope, volume and deployment model. There is no public price list or freemium tier.

Sources

• kognic.com (read 2026-11-09)

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