V7
V7 is an AI platform company founded in August 2018 by Alberto Rizzoli and Simon Edwardsson, based in London.
Profile
V7 builds AI infrastructure for data labeling, dataset management, and automated document processing using AI agents.
V7 is an AI platform company founded in August 2018 by Alberto Rizzoli and Simon Edwardsson, based in London. The company started with a mission rooted in social impact—both founders had created Aipoly, a computer vision app for the blind and visually impaired, before pivoting to building infrastructure for AI teams. Today, V7 operates two main product lines: V7 Darwin, a data labeling and dataset management platform for computer vision and generative AI model training, and V7 Go, an AI agent platform launched in April 2024 that automates document-heavy workflows for financial services, insurance, and real estate firms.
The company has raised approximately $36–40 million across a $3 million seed round (2020) led by Amadeus Capital Partners and a $33 million Series A (2022) co-led by Radical Ventures and Temasek. V7 achieved $27.7 million in revenue by end of 2023 with 148 employees; as of early 2026, the headcount has contracted to around 104–110 people. Named customers include GE Healthcare, Siemens, Merck, Boston Scientific, and Paige AI, along with case-study clients like CattleEye (10x model development speed) and Genmab (5,000+ annotated files).
V7 Go has gained traction in the PE/finance automation space, with partnerships announced in 2025 including DMS Technology (July) and Alchemy (insurance). The company was named the eighth fastest-growing startup in the UK in 2024 by Sifted. However, V7 has experienced layoffs and internal management scrutiny; Glassdoor reviews cite departures and organizational churn, with a 3.8/5 employee rating. The strategic pivot from pure data labeling to AI agents reflects broader market pressure to move downstream into higher-margin workflows.
Who buys this
- Automotive and manufacturing firms building computer vision models for quality control and autonomous systems
- Healthcare and biotech companies annotating medical imaging and genomic data for AI model training
- Private equity and financial services firms automating due diligence, investment memo generation, and deal workflows
- Insurance and claims processors deploying AI agents to extract data from unstructured documents
- Agriculture and construction companies training models on crop/site imagery for anomaly detection and planning
Publicly disclosed clients
- GE Healthcare
- Siemens
- Merck
- Boston Scientific
- Paige AI
- CattleEye
- Genmab
- Intelligent Ultrasound
Strengths and what to watch
Strengths
- Enterprise adoption across Fortune 500 firms and deep learning specialists; customer roster demonstrates cross-industry credibility
- Bootstrapped to $27.7M revenue by end 2023 without later funding rounds; efficient unit economics for a pre-IPO AI infrastructure company
- Dual product strategy (Darwin for data labeling, V7 Go for document automation) captures both upstream (model training) and downstream (workflow automation) value chains
Watch for
- Headcount decline from 148 (2023) to ~105 (2026) suggests either revenue pressure or margin optimization; Glassdoor reviews cite layoffs and CEO criticism, raising retention risks
- V7 Go is now a primary growth driver but faces entrenched competition from UiPath, Appian, and specialized PE automation vendors; market traction in April 2024 launch was strong, but long sales cycles and customer stickiness remain unproven
- Aipoly, the founding product that established the company's social mission, was discontinued (exited 2018, unpublished from app stores 2021), signaling a shift away from accessibility-focused work toward commercial enterprise software
Recent moves
- 6mo ago V7 launches V7 Go Slides for AI-powered financial presentations
- 1y ago V7 launches Knowledge Hubs as virtual data room for AI agents
- 1y ago V7 and DMS Technology announce strategic partnership to automate PE due diligence workflows
- 1y ago V7 Go repositioned as full AI agent platform with 280+ pre-built agents
Key Information
- Industry
- Data Generation & Labelling
- Founded
- 2018
- Headquarters
- London
Frequently Asked Questions
What is V7 Labs?
V7 is an AI infrastructure platform founded in 2018 that builds tools for data labeling, dataset management, and document automation. The company operates two main products: V7 Darwin for computer vision annotation and model training, and V7 Go, an AI agent platform launched in April 2024 for automating document-heavy workflows.
What does V7 Darwin do?
V7 Darwin is a data labeling and dataset management platform for computer vision and generative AI model training. It enables teams to annotate medical images, organize training datasets, and prepare data for machine learning model development across healthcare, automotive, manufacturing, and agricultural industries.
What is V7 Go?
V7 Go is an AI agent platform launched in April 2024 that automates document-heavy workflows. It uses AI to extract data from unstructured documents and powers automation in financial due diligence, insurance claims processing, and investment memo generation for PE firms and financial services companies.
Who uses V7?
V7 serves enterprise customers across healthcare, automotive, manufacturing, financial services, insurance, and agriculture. Named clients include GE Healthcare, Siemens, Merck, Boston Scientific, and Paige AI. Notable use cases range from medical imaging annotation to autonomous vehicle quality control to PE due diligence automation.
How much funding has V7 raised?
V7 has raised approximately $36 to $40 million across two funding rounds: a $3 million seed round in 2020 led by Amadeus Capital Partners, and a $33 million Series A in 2022 co-led by Radical Ventures and Temasek. The company generated $27.7 million in revenue by end of 2023.
Is V7 a good company to work for?
V7 has enterprise credibility with Fortune 500 clients and $27.7 million 2023 revenue. However, employee satisfaction is mixed—Glassdoor rates it 3.8/5 stars. The company experienced layoffs and headcount declined from 148 in 2023 to 104-110 by 2026, with reviews citing organizational concerns and management issues.
How V7 compares
Direct head-to-head against 3 competitors. Picked by 7wData.
V7
- Positioning
- V7 builds AI infrastructure for data labeling, dataset management, and automated document processing using AI agents.
- Customer segments
- Automotive and manufacturing firms building computer vision models for quality control and autonomous systems
- Strengths
- Enterprise adoption across Fortune 500 firms and deep learning specialists; customer roster demonstrates cross-industry credibility
- Watch for
- Headcount decline from 148 (2023) to ~105 (2026) suggests either revenue pressure or margin optimization; Glassdoor reviews cite layoffs and CEO criticism, raising retention risks
- Recent moves
- V7 launches V7 Go Slides for AI-powered financial presentations
Scale AI
- Positioning
- Data infrastructure platform for AI annotation, model evaluation, and RLHF pipelines, repositioning toward the full AI development lifecycle.
- Customer segments
- Foundation model labs, cloud giants, defense agencies, automotive OEMs; ML engineering and data operations teams are primary buyers.
- Strengths
- 240,000-person RemoTasks labeling workforce enabling multi-modal annotation at enterprise scale across text, image, video, and LiDAR.
- Watch for
- Meta's 49% stake in June 2025 prompted Google, Microsoft, OpenAI, and xAI to reduce contracts, citing competitor data exposure.
- Recent moves
- Scale Labs research division launched March 2026, focused on model evaluation, post-training methods, and enterprise deployment oversight.
Labelbox
- Positioning
- Data factory and annotation platform for enterprise AI teams managing production-scale labeling, evaluation, and model training workflows.
- Customer segments
- Fortune 500 enterprises, U.S. AI labs, biotech and regulated-industry teams; data science leads and MLOps engineers are buyers.
- Strengths
- Model Foundry integrating Gemini 2.0, Claude 3.7, and o3-mini into automated labeling pipelines with a unified quality metrics dashboard.
- Watch for
- No disclosed funding since January 2022 at $189M total; runway compression is a real concern in a capital-intensive annotation market.
- Recent moves
- Acquired Upcraft on February 10, 2026, to scale AI agent recruitment across its 1 million plus expert annotation network.
Encord
- Positioning
- Data curation and annotation platform for physical AI teams building autonomous vehicles, robotics, and multimodal AI systems.
- Customer segments
- Enterprise computer vision teams, autonomous vehicle developers, medical imaging organizations; ML engineers and data teams are primary buyers.
- Strengths
- Native multimodal annotation spanning video, LiDAR, DICOM, audio, and sensor fusion in one platform, with SAM 3 auto-segmentation.
- Watch for
- Cloud-only deployment blocks customers with data sovereignty requirements; no on-premise option reported across G2 and multiple review sources.
- Recent moves
- Raised $60 million Series C led by Wellington Management in February 2026, bringing total funding to $110 million.
Sources
- www.v7labs.com — Founders Alberto Rizzoli (CEO) and Simon Edwardsson (CTO), founding date August 2018, company mission statement
- fortune.com — V7 Go launch April 2024, market size of business process automation ($10.2B), early customers and CEO rationale
- techcrunch.com — V7 Series A $33M funding round in 2022, lead investors Radical Ventures and Temasek, investor list
- www.v7labs.com — Named customers including CattleEye, Genmab, Intelligent Ultrasound, Raptor Maps, and performance metrics
- getlatka.com — Revenue of $27.7M in 2023, employee count of 148 in 2023
- tracxn.com — Current employee headcount ~104-110, funding summary, company valuation and growth trajectory
- www.v7labs.com — July 2025 partnership with DMS Technology for PE automation workflows
- www.glassdoor.com — Employee satisfaction (3.8/5 stars), company culture feedback, layoff history, management concerns