News & Blogs

Chameleon Tiers delivers AI data democratization, enabling everyone to create quality synthetic vision data with a simple GUI at zero cost.

Synthetic data generation is gaining popularity, and Appen’s investment in Mindtech highlights your interest in this area. Could you discuss the advantages and disadvantages of using synthetic or web-scraped data versus crowdsourced data for training AI models, and how you see synthetic data complementing the crowdsourced data Appen is known for?

Mindtech Global secures £4.4M to scale its AI vision training platform, enhancing synthetic data creation for faster, smarter AI solutions

Mindtech's curated datapack of synthetic invoices, including degraded documents offer a privacy compliant method to train AI based document processing systems

Safety is a major cornerstone for quality of life and despite the scope for technology to drive progress, there remains a need for functional and impactful solutions, says Steve Harris, CEO of Mindtech.

Synthetic data – data artificially generated by a computer simulation – will grow exponentially in 2023, says Steve Harris, CEO of Mindtech. “Big companies that have already adopted synthetic data will continue to expand and invest as they know it is the future,” says Harris.

Privacy concerns are a pre-requisite when relying on real-world documents for AI training. As we try to eliminate these concerns in computer vision systems, particularly for use cases like identification, financial and medical record management, Steve Harris, CEO of Mindtech, shares how synthetic documents offer an efficient and privacy-compliant solution.

ITS and smart cities thrive on data: but doies all the data need to be real? Steve Harris of Mindtech explains why the answer could lie in combining elements of the real world with the synthetic.