
Mindtech Global
Synthetic data company specializing in the creation of high-quality training data for AI computer vision models.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor | €0.0 Valuation: €0.0 4.9x EV/Revenue | round | |
* | £4.4m | Early VC | |
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 48 % | 45 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Mindtech Global operates at the forefront of the artificial intelligence sector, specializing in the provision of synthetic data to train AI-powered visual processing systems. The company, based in Sheffield, UK, was conceptualized by a team of industry veterans, including Sir Hossein Yassaie, the former CEO of Imagination Technologies, and is currently led by CEO Steve Harris, who brings over three decades of experience from the technology market, including roles at ARM and Imagination Technologies. Since its inception, Mindtech has focused on resolving a primary bottleneck in AI development: the scarcity of high-quality, diverse, and privacy-compliant training data.
The company's business model centers on its DataOps platforms, Chameleon and Dolphin, which are sold to developers of AI vision systems across various industries. These platforms facilitate the generation of what the company terms "intelligently engineered synthetic data." The Chameleon platform, launched in 2019, utilizes technology akin to game engines to construct virtual 3D worlds. Within these environments, users can create complex scenarios and simulate a vast array of activities and events to generate precisely annotated images for training AI models. This process allows for the creation of unlimited, unbiased datasets that can model difficult edge cases and are free from privacy and GDPR concerns. The newer Dolphin platform analyzes existing training databases to identify deficiencies like bias, lack of diversity, and data sparsity, enabling the creation of optimized synthetic datasets to rectify these issues.
Revenue is generated through the licensing of these platforms, which significantly reduces development time and costs for its clients. The company serves a global market, with a presence in Japan, the US, and Europe, and targets sectors such as retail, healthcare, transportation, robotics, and smart cities. Mindtech has secured multiple funding rounds, including a £4.4 million investment in October 2024, to fuel technology development and international expansion. This strategic funding underscores the market's validation of synthetic data's growing importance, a trend highlighted by Gartner's forecast that it will constitute the majority of data used in AI training by 2025.
Keywords: synthetic data, AI training data, computer vision, data-centric AI, DataOps, neural network training, visual AI systems, Chameleon platform, Dolphin platform, data annotation, AI bias reduction, GDPR compliant data, smart city AI, retail AI, automotive AI, robotics vision, healthcare AI, human interaction simulation, AI data management, machine learning data