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Generative AI to augment environmental conditions in training data for perception systems (Phase 3)

Reference number
Coordinator Repli5 AB
Funding from Vinnova SEK 1 000 000
Project duration July 2026 - June 2027
Status Ongoing
Venture Acceleration of deep tech companies

Purpose and goal

The goal is to develop and commercially deploy an enterprise-grade synthetic training data platform that can be installed on customer-controlled, on-premise infrastructure. The goal is to convert existing R&D relationships in industrial automation and autonomous drive into recurring platform contracts, validating that Repli5 operates as a scalable software product company ready for future investment and growth.

Expected effects and result

A commercially deployed synthetic training data platform with support for on-premise deployment on the customer´s own infrastructure. At least three signed platform agreements in industrial automation and autonomous driving, of which at least one on-premise. The platform enables independent use without ML expertise, reduces cost-to-serve and creates the conditions for scalable recurring revenue and Series A financing.

Planned approach and implementation

The project runs from July 2026 to June 2027 and is implemented in four tracks: re-architecting pipelines for on-premise deployment, development of self-service interfaces, commercial processing towards signed platform agreements, and structured customer introduction with feedback to product development.

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

Last updated 30 June 2026

Reference number 2026-02223