Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Our e-services for applications, projects and assessments close on Thursday 27 August at 4:30pm because of system upgrades. We expect to open them again on Friday 28 August at 8am the latest.

Recohere: Market validation of an AI-native platform for sensor simulation and robotics

Reference number
Coordinator Recohere AB
Funding from Vinnova SEK 500 000
Project duration November 2025 - July 2026
Status Ongoing
Venture Innovative Startups
Call Innovative Startups 2025

Important results from the project

Yes. The goal was to develop an MVP and validate the business model with a pilot customer. At project close, Recohere has several paying industrial customers and a platform deployed on-premise at customer sites. The project also led to two Vinnova-funded FFI partnerships with the automotive industry, a registered trademark and a documented IP strategy. The team grew from three to five people.

Expected long term effects

Validating autonomous systems is a bottleneck that cannot be solved by more physical test drives. By automatically turning recorded sensor data into photorealistic, testable 3D environments, development teams can validate safety-critical AI faster, at lower cost, and against hazardous scenarios that cannot be recreated safely in the real world. This contributes to improved traffic safety, reduced physical testing and stronger competitiveness for the Swedish automotive and robotics industry.

Approach and implementation

The project was carried out by Recohere in four work packages: market verification, MVP development, industrial pilot and IP strategy. The structure held, but market verification progressed faster than planned and was replaced early by live customer collaborations, which allowed MVP development to be driven by real integration requirements. The timeline was met. The main challenge was integration with customers´ existing toolchains, solved with a modular data pipeline.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 21 August 2026

Reference number 2025-01874