Mindtech Global Limited (10937593): administration
- Status
- In administration
- Administration began
- 2025-03-10
- Administrators
- Paul Steven Cooper, Adam Shama
- Administrators' firm
- Begbies Traynor
- Incorporated
- 2017-08-30
- Location
- London
- Industry
- 74909 Other professional, scientific and technical activities n.e.c.
Why it went into administration
- HMRC / tax arrears
From the administrators' statement
Founded in 2017, Mindtech developed a pioneering suite of platforms enabling the creation of synthetic data to train and develop artificial intelligence models, particularly for computer vision applications. At the core of the Company’s offerings was its proprietary Chameleon technology, which generates lifelike, photo-realistic synthetic simulated environments, allowing Al systems to learn and perform tasks more accurately and efficiently. Mindtech’s suite of platforms addressed key challenges faced by organisations across various industries, including retail, security, automotive, and smart home. By enabling the rapid creation of diverse and scalable training data, Mindtech’s platforms were able to solve the data scarcity issue, ensuring Al models could function effectively in real-world scenarios without the constraints of sourcing, labelling, and annotating relevant real-world data. The platforms provided full control over the content created, allowing businesses to generate specific, tailored datasets without compromising privacy or security. In addition to Chameleon, a Dolphin platform was created, which further improved Al model training by analysing existing training data …
Mindtech’s Data Packs also provided pre-built, high-quality, labelled datasets, catering to industries such as retail, automotive, and smart cities, enabling businesses to reduce time to market.
The Company’s innovative approach has gained recognition from major industry players, with customers including leading technology companies and global enterprises leveraging the platforms to accelerate the development and deployment of Al solutions. This has been particularly impactful in improving object recognition, reducing bias in Al models, and shortening time-to-market for new products.
Administrators' statement of proposals (2025-04-28) · Companies House register