Mindtech Global is a developer of DataOps platforms that produce intelligently engineered synthetic data to train AI vision systems. Its core products, Chameleon and Dolphin, enable data analysis, visualisation and curation to improve AI models and accelerate deployment of customer applications across smart city and other use cases. The company serves sectors including retail, healthcare, transportation and robotics and has operations across the US and the Far East. Led by CEO Steve Harris, Mindtech employs around 25 people. Following a funding round of over £4M led by Edge Investments with participation from Mercia Ventures, the company plans to further develop its technology and expand into Japan, the US and Europe. It also intends to continue partnerships with industry leaders to scale adoption of its synthetic-data platforms. Mindtech is a Sheffield, UK–based provider of an end-to-end synthetic data creation platform for training AI vision systems. Led by CEO Steve Harris, the company's Chameleon platform generates synthetic training data to help computers understand and predict human interactions across retail, smart home, healthcare and smart city applications. In the latest round Mindtech raised $3.7M led by Appen, which also signed a commercial partnership to drive adoption of synthetic data. The company intends to use the funds to expand operations and broaden its business reach. Existing investors participated in the round. This investment follows a $3.25M funding round in July 2021. Mindtech Global’s core product, Chameleon, creates unlimited photo‑realistic 3D scenes and synthetic humans to train CCTV and other computer-vision systems without using real-world footage. The platform targets customers including large retailers, warehouse operators, healthcare providers, transportation systems and robotics firms. Mindtech positions synthetic data as a way to avoid privacy issues, reduce bias in training data, and speed up ML development by cutting time spent sourcing and cleaning footage. The company says Chameleon lets teams build and run scenarios thousands of times to teach systems to spot events such as slips, delivery-robot interactions with children, or erratic behavior on train platforms. Management intends to use the new funding to accelerate growth and commercial traction. No operating metrics or valuation were disclosed in the article.

Total raised

$12M

Funding rounds

3

Latest round

Equity

Latest activity

Oct 2024