Thursday 27 March 2025, 4pm GMT
Hilco is seeking offers to acquire the intellectual property assets and tangible assets of Mindtech Global Limited – In Administration (“Mindtech” or the “Company”) on behalf of the Joint Administrators of the Company, Paul Cooper and Paul Appleton of Begbies Traynor (London) LLP.
Founded in 2017, UK-based Mindtech has developed a pioneering suite of platforms that enable the creation of synthetic data to train and develop artificial intelligence models, particularly for computer vision applications. At the core of Mindtech’s offerings is its proprietary Chameleon technology, which generates lifelike, photo-realistic synthetic simulated environments, allowing AI systems to learn and perform tasks more accurately and efficiently.
Mindtech’s suite of platforms addresses 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 solve the data scarcity issue, ensuring AI models can function effectively in real-world scenarios without the constraints of sourcing, labelling, and annotating relevant real-world data. The platforms provide full control over the content created, allowing businesses to generate specific, tailored datasets without compromising privacy or security.
In addition to Chameleon, the Dolphin platform further improves AI model training by analysing existing training data and identifying bias, poor diversity and sparsity of training data pinpointing where additional synthetic training data should be created to improve AI model performance. Mindtech’s Data Packs also provide 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 AI solutions. This has been particularly impactful in improving object recognition, reducing bias in AI models, and shortening time-to-market for new products.
A key differentiator for Mindtech is its advanced simulation environment, which allows users to create complex, diverse visual scenarios rapidly. This enables AI models to train on vast datasets without manual data collection, providing businesses with a cost-effective, scalable solution to their AI training data needs. The Company’s platforms significantly enhance the accuracy and performance of computer vision models by providing more diverse and comprehensive datasets.
The acquisition of Mindtech offers a unique opportunity to secure ownership of a market-leading synthetic data generation suite with a robust intellectual property portfolio. By acquiring the Company’s intellectual property and platforms, the buyer will gain a strategic asset capable of addressing the growing demand for high-quality, scalable training data. This will empower enterprises to accelerate AI adoption and improve model performance across various industries.
Mindtech has established itself as a pioneering and forward-thinking brand in the field of synthetic data generation for training AI models. Known for its innovative approach to creating scalable, privacy-compliant synthetic data, the Mindtech name represents cutting-edge technology solutions designed to meet the growing demand for high-quality training data in industries such as retail, security, automotive, and smart home.
High-profile partnerships have bolstered the brand’s reputation. Its strategic partnership with Appen, a leader in training data for the AI lifecycle, combines Appen’s real-world data expertise with Mindtech’s synthetic data generation capabilities, enabling businesses to build more accurate and diverse AI models. This collaboration has accelerated AI development in various sectors, further showcasing Mindtech’s transformative impact.
The brand has also received widespread recognition for its innovative technology. Its Chameleon platform, capable of generating highly realistic, diverse human behaviour data, has been lauded for transforming AI model training and addressing key challenges around bias and data scarcity. Positive coverage from leading industry platforms has further bolstered the brand’s credibility, positioning Mindtech as a trusted innovator in the field of synthetic data and AI development.
This strong brand reputation, combined with its market-leading technology and strategic partnerships, offers a unique opportunity for a potential acquirer to capitalise on the growing demand for scalable and ethically sourced training data, securing a competitive edge in the rapidly expanding AI market.
The Company hold a portfolio of 10 registered trade marks covering the “Mindtech” brand names and logos, with international protection.
Full details on the Company’s trade marks are available via a virtual data room.
Mindtech provides a pioneering suite of synthetic data generation solutions designed to accelerate the development of AI vision systems. These platforms enable businesses to overcome data scarcity, reduce bias, and improve model accuracy by generating vast quantities of high-quality, labelled training data in a fraction of the time required for real-world data collection.
The flagship Chameleon Platform offers an end-to-end solution for creating photorealistic synthetic data tailored to complex AI training needs. With an intuitive asset manager for importing 3D objects, a scenario editor for designing dynamic environments, and an automated simulation engine for generating fully annotated data, Chameleon empowers businesses to develop highly accurate and diverse AI models. Its ability to simulate real-world human behaviour, environments, and object interactions significantly enhances model performance across a range of industries, including smart security, autonomous vehicles, and consumer electronics.
Complementing Chameleon is the Dolphin Platform, which analyses existing training data and identifies bias, poor diversity and sparsity in training data optimising the integration of synthetic data into existing machine learning pipelines. Dolphin enhances data ingestion, curation, and labelling processes, ensuring AI models are trained with high-quality, diverse datasets. This functionality is particularly valuable for organisations solving complex use cases requiring unique, hard to acquire edge case training, allowing them to scale AI model development without the constraints of real-world data collection.
To further accelerate AI training, Mindtech offers Data Packs; pre-built, GDPR-compliant datasets featuring tens of labelled images across key verticals such as retail, smart cities, automotive, and logistics. These ready-to-use datasets allow businesses to reduce development time while ensuring high data quality and diversity.
Mindtech’s technology has been successfully deployed in collaboration with industry leaders like Appen, where the use of synthetic data has significantly improved AI model performance and scalability. This comprehensive approach positions Mindtech at the forefront of AI development, offering businesses a faster, scalable, and cost-effective method of training reliable and unbiased computer vision models.
Mindtech’s competitive edge is built on innovations that enhance the performance and realism of AI training data. The Company holds two key patents that underpin its cutting-edge synthetic data capabilities, ensuring AI models are trained with the highest quality, most adaptable, and contextually accurate datasets:
Image Domain Matching Technique
This patented technique enables AI models to bridge the gap between synthetic and real-world data by aligning generated images more closely with real-world domains. By improving the realism and applicability of synthetic datasets, this innovation significantly enhances AI training accuracy, reduces bias, and improves model performance across industries such as security, retail, and autonomous systems.
Apparatus and Method of Variable Image Processing
A state-of-the-art image enhancement process that dynamically optimises synthetic data through advanced style transfer techniques. By selecting and applying the most relevant style attributes from a pool of candidate images, this patented method ensures AI models receive highly adaptable and contextually accurate training data. The process refines image quality, enhances feature representation, and enables more effective AI model training—making it invaluable for applications in computer vision, automation, and intelligent analytics.
Mindtech strategically combines patented technology with trade secrets to safeguard its unique intellectual property, ensuring a faster, more scalable, and privacy-compliant solution for training robust and bias-reduced AI systems.
Full details of the Company’s patents are available in the virtual data room.
Mindtech has developed a meticulously organised and well-documented suite of resources that provide a comprehensive foundation for its synthetic data generation technologies and operational strategies, including structured data, workflows, and processes that underpin the development, deployment, and maintenance of its Chameleon and Dolphin platforms.
The Company’s knowledge base encompasses detailed technical documentation. This documentation captures the development methodology for the Chameleon platform, outlining key methodologies for generating diverse, photorealistic training data and ensuring AI models are trained with high-quality, bias-reduced datasets. Additionally, the knowledge base includes frameworks for integrating synthetic data with real-world data, a key aspect of Mindtech’s offering in improving AI model performance.
Mindtech’s operational know-how extends to its data curation and annotation processes, where the Company has established best practices for ensuring training data quality and relevance across multiple industries, including retail, automotive, smart home, and security. Documentation also covers methodologies for reducing bias and enhancing model diversity using synthetic training data.
The Company’s core technical resources are managed through structured platforms such as Azure DevOps for task management, and workflow tracking, a version controlled documentation repository using git and Azure DevOps, while the code base and simulation algorithms are securely maintained on Azure DevOps. This infrastructure ensures streamlined development, continuous improvement, and scalability of Mindtech’s solutions, providing a clear and detailed roadmap of the platform’s architecture, operational processes, and deployment methodologies.
The organisational knowledge and know-how embedded within Mindtech’s operational framework represent a significant strategic asset. These resources provide a deep understanding of the methodologies, processes, and best practices that have shaped Mindtech’s market-leading position in synthetic data generation. The full suite of documentation, frameworks, and technical knowledge is available to acquire, offering the buyer an accelerated pathway to mastering and expanding the capabilities of Mindtech’s platforms.
Development Team
The Company has a highly skilled team of development engineers underpins Mindtech’s innovative approach to synthetic data generation. With deep expertise in the Company’s technologies and applications, these engineers are critical to the ongoing advancement of the Chameleon and Dolphin platforms.
The primary mindtech.global domain name is available to acquire. The domains support the Company’s online presence and visibility within the synthetic data and AI training industry.
Full details on the Company’s domain names are available via a virtual data room.
The Company owns the copyright in the website content hosted at its various domains, which prominently showcase Mindtech’s technology offering, including the Chameleon platform, Dolphin platform, and Data Packs, as well as the Company’s expertise in synthetic data generation and AI model training.
Rights in the social media accounts are also available to acquire across LinkedIn, Twitter, and Medium.
Full details on the Company’s social media accounts are available via a virtual data room.
The Company holds detailed information on previous clients, including contact details and insights into past interactions and sales opportunities. The Company also maintains records on prospective clients, including inbound enquiries, sales leads, and partner engagement plans, ensuring a pipeline for future growth and collaboration.
A range of office and computer equipment are available for acquisition.
Full details on the Company’s tangible assets are available via a virtual data room.
Offers are due Thursday 27 March 2025 at 4pm GMT.
All expressions of interest and bids are to be directed to Hilco in writing. A Bid Submission Form is available on request. Please contact Hilco to gain access to a virtual data room of further information on signing a confidentiality agreement.
The Joint Administrator acts as an agent of the Company and without personal liability.
The bidder acknowledges that Hilco acts as an agent for the Joint Administrator who offers for sale only what right, title and interest (if any) the Company possess in the assets. Such sale will be without any warranties, expressed or implied. The information provided has not been verified by Hilco or the Joint Administrator, and bidders are deemed to have carried out their own due diligence.
VAT, if applicable, at 20% will be added to the price. A non-refundable deposit of 20% will be payable by the buyer within 48 hours of bid acceptance. Legal completion to occur within 5 business days of bid acceptance. Hilco’s full Terms and Conditions apply.
Associate Director
Manchester Office
Managing Director
London Office
