What Mindtech does

Mindtech is a Sheffield, UK-based AI infrastructure company founded in 2017 that builds Chameleon, an on-premise synthetic training data generation platform for computer vision model development. The platform follows a four-stage pipeline (Define, Generate, Evaluate, Govern) in which users describe a scene in natural language without scripting or 3D modeling, and Chameleon produces thousands of labeled images and video frames along with auto-generated segmentation masks, bounding boxes, and keypoints from a single scene definition. Datasets can be re-built automatically when scene parameters (lighting, materials, colors) change, with no manual re-annotation required. The product is positioned for Vision AI teams that face slow, expensive, or impossible real-world data collection, particularly for privacy-sensitive edge cases such as in-cabin driver monitoring, CCTV/safety surveillance, retail analytics, and industrial PPE/forklift detection.

Chameleon is sold as on-premise software with a freemium cloud demo and tiered subscription pricing, and is deployed across 9+ industry verticals including Construction, In Cabin, Industrial, Physical AI, Retail, Safety, Smart City, Transportation, and Vehicles. The company holds NVIDIA Connect Partner status, suggesting technology and channel integration with NVIDIA's AI/compute ecosystem. Mindtech has raised approximately $15.84M across four funding rounds between 2021 and 2024, with notable strategic investors including Appen (a global data annotation incumbent), IQT (In-Q-Tel), and Edge VC. The firm operates with 11-50 employees and is led by CEO Steve Harris, with Chris Longstaff as VP Product Management and Peter McGuinness as VP Engineering. The proprietary dataset governance and audit trail features, combined with full on-premise processing that ensures no data leaves the customer site, form the central commercial differentiation against both traditional data annotation vendors and simulation-based synthetic data alternatives.

Name

Mindtech

Legal name

Synthera Corp.

Website

https://mindtech.global

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

11–50 employees

Short description

Mindtech builds Chameleon, an on-premise synthetic training data platform for Vision AI that lets computer vision teams generate fully labeled images and video from scene descriptions without scripting or 3D modeling, serving nine-plus industrial and surveillance verticals globally.

Ownership category

akta.pro rank

Product category

Synthetic Data Platform for Vision AI

NAICS

Analytical Laboratory Instrument Manufacturing (334516), Industrial Design Services (541420), Computer Terminal and Other Computer Peripheral Equipment Manufacturing (334118), Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing (334511)

SIC

Misc Industrial & Commercial Machinery & Equipment (3590)

akta.pro primary industry

Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial) (HDAAALAL)

Keywords

• Synthetic training data
• Vision AI platform
• Computer vision annotations
• On-premise AI infrastructure
• Dataops for AI

Headquarters

HQ city

Sheffield

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure

Revenue model

1. Chameleon Software Licenses/Subscriptions: Chameleon is offered as on-premise software with a free tier available. The website mentions 'Plans & Pricing' and subscription management, suggesting a subscription-based model with tiered pricing for different team sizes or usage levels.

Pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels5 records

Core offering

Mindtech (operating under the Synthera brand) sells the Chameleon™ platform, an on-premise synthetic training data generation tool for Vision AI teams. Users define scene requirements without scripting or 3D modelling, and Chameleon produces thousands of fully annotated synthetic images and video frames (segmentation masks, bounding boxes, keypoints) along with quality evaluation and dataset governance/audit trail capabilities. The platform targets enterprise and mid-market computer vision teams across industrial, smart city, retail, transportation, safety, and in-cabin use cases.

Product overview

Synthera offers a single unified product called Chameleon™, a synthetic data generation platform purpose-built for Vision AI training. The platform follows a four-step workflow: Define (describe scene requirements without scripting or 3D modeling), Generate (produce thousands of labeled images and video frames at scale), Evaluate (spot gaps, imbalances, and edge cases before model training), and Govern (maintain full audit trails and version control for every dataset). Chameleon outputs multiple annotation types simultaneously—clean renders, segmentation masks, bounding boxes, and keypoints—from a single scene definition. The product runs entirely on the customer's hardware (on-premise deployment) with no data leaving the site, making it privacy-compliant by design.

Differentiator

Problem solved

Functional benefit

Brands

• Chameleon™: Foundational data infrastructure for Vision AI. Lets teams build synthetic training datasets using their own domain knowledge. Runs on-premise with full privacy compliance.

Products and services

• Chameleon™ On-premise synthetic training data generation platform for Vision AI. Users define scene requirements without scripting or 3D modelling, and Chameleon generates thousands of labelled synthetic images and video frames with segmentation masks, bounding boxes, and keypoints simultaneously. Includes built-in data quality evaluation to spot gaps, imbalances, and edge cases, plus dataset governance with full audit trails, version control, and provenance. Runs entirely on customer hardware with no data leaving the site, and is available with a free tier and direct software installer download.

Quantifiable outcome

• Dataset creation time reduced from weeks to minutes
• +1 more outcomes

Segments6 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature5 records

Partnerships

One partnership is on record.

• NVIDIAcoreTechnology or IntegrationSynthera is an NVIDIA Connect Partner, indicating a technology partnership for integration of Chameleon synthetic data generation with NVIDIA's AI/compute ecosystem.

Scale indicators3 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Datagen: Datagen generates synthetic visual data for training computer vision models, serving enterprise AI teams across retail, manufacturing, and mobility use cases. It is a direct competitor to Mindtech's Chameleon in the Vision AI synthetic data category.
• Synthesis AI: Synthesis AI produces synthetic data and labeled datasets specifically for computer vision, with a focus on face, body, and object generation. It competes head-to-head with Mindtech in generating photorealistic, fully annotated training data.
• Sky Engine AI: Sky Engine AI offers a synthetic data and computer vision platform for enterprise model training, with a particular focus on 3D scene generation and domain adaptation. It competes directly with Mindtech's Chameleon in the synthetic vision data space.
• Zumo Labs: Zumo Labs produces synthetic video and image data for computer vision, serving safety, transportation, and industrial applications. Its use-case focus closely matches Mindtech's vertical segmentation.

Broad incumbents

• Scale AI: Scale AI is a large, well-funded data infrastructure company combining human-labeled data, evaluation, and increasingly synthetic data generation. It is a broader incumbent with overlapping enterprise vision AI buyers but a much wider product portfolio.
• Appen: Appen is a global leader in training data services, including data annotation, collection, and increasingly synthetic data. As a strategic investor in Mindtech, Appen is also a peer in the broader training-data ecosystem with overlapping enterprise buyers.
• Unity: Unity provides a 3D simulation and rendering engine increasingly used to generate synthetic training data for computer vision and robotics. As a broader incumbent with extensive enterprise tooling, it competes for budget allocated to synthetic data pipelines.
• Labelbox: Labelbox provides a data-centric AI platform for labeling, evaluation, and dataset management, competing for the same enterprise ML budget as Mindtech's data governance and quality features.

Emerging players

• Mostly AI: Mostly AI focuses on synthetic tabular and structured data for enterprise AI and analytics. While its modality differs from Mindtech's vision focus, it is part of the broader synthetic data category competing for enterprise synthetic-data budgets.
• Bifrost: Bifrost generates synthetic 3D environments and datasets for training computer vision and embodied AI systems. It overlaps with Mindtech's Physical AI and Vehicles use cases through simulation-driven synthetic data.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• YouTubeyoutube.com/@SyntheraCorporation
• LinkedInlinkedin.com/company/mindtech-global-limited
• Xx.com/mindtechg

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds4 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Mindtech