The data platform used to make safe perception possible

We are working with global leaders

Platform components

Perception analytics

Full insight by quality and performance metrics at your fingertips

Use powerful and efficient analytics tooling to track and measure key performance indicators. Measure the quality of your data set and connect your sensor output directly to ground truth data to validate essential performance and safety requirements.

Coverage analysis

Filtering and tracking of data has never been easier

Stay ahead of the game by knowing what data you have and what you additionally need. Viewing, sorting, and managing your data directly in the cloud platform, allows you to get an in-depth understanding of your data, enabling you to make strategic decisions about where to plan future data acquisitions that reduces cost and saves valuable time.

Screenshot of Annotell coverage analysis tool

Ground truth

Highly automated ground truth production for autonomous mobility

We are combining a modern data infrastructure with the safety requirements within automotive to ensure your needs are covered in relation to developing and validating AD/ADAS functions.

Screenshot of annotation product offering

A team built up of experts

Our team consists of experts from leading software and automotive companies and academia to support you with successfully develop your perception based software

And more

Expand your capabilities

Utilize our platform as an integrated part of your automotive data pipeline

Relate safety critical perception requirements to ground truth data

See how Annotell can increase training and validation data efficiency

Articles & Blog

ZKW uses Annotell to develop its perception capabilities

3/11 2021

ZKW enlisted Annotell as one of their partners to help them enter the world of Artificial Intelligence and high-quality data annotation.

Complete Data Coverage with the Annotell Platform

1/11 2021

At Annotell we are dedicated to making safe self-driving perception a reality. We believe that we can vastly speed up development time of self-driving cars by improving the quality of the datasets out there, and speeding up the discovery of interesting scenarios.