V7 Labs
V7's mission is to bring human knowledge into computers to solve crucial tasks and give people longer, happier lives. It builds trustworthy AI systems and automates complex, document-heavy workflows for private markets, insurance, real estate and other high-stakes enterprise operations.
At a Glance
- Private equity and venture capital firms
- Private markets and investment teams
- Insurance carriers, brokers and managing general agents
- Real-estate investment firms
- +5 more
AI Tools by V7 Labs
(1)
V7 Go
AI Document Workflow Agents
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Latest News
OpenAI features V7 in a new customer story
V7 and Affinity announce an integration partnership for deal documents
V7 and PitchBook partner to put private-market data inside AI workflows
V7 launches V7 Go Slides, AI presentations for finance
Products & Services
Computer-vision and training-data platform for annotating images, video, documents and medical-imaging data, combining AI models and human-in-the-loop workflows. Darwin 2.0 launched in June 2022 and Darwin became available through AWS Marketplace in March 2024.
Multimodal AI work-automation and agent platform for turning complex documents and other unstructured inputs into structured, verifiable outputs and completed workflows.
Specialized no-code agents for complex business tasks, with Concierge AI and Cases that let teams delegate document-heavy work and receive final, auditable results.
Centralized, searchable memory banks built from a company's internal documents; entity-centric indexing lets agents query connected data across corporate data rooms.
Market Position
V7 positions itself as a trustworthy, enterprise AI operating system for high-stakes, document-heavy work, combining multimodal document intelligence, specialized agents, connected knowledge and verifiable citations rather than generic chat or simple OCR/RAG. In training data and computer vision, relevant alternatives include Encord, Roboflow and Lightly; in document/workflow automation, it competes with enterprise intelligent-document-processing, RPA and AI-agent platforms.
Leadership
Founders
Alberto Rizzoli
Serial entrepreneur; previously CEO and co-founder of Aipoly, a computer-vision app that helped blind people understand surroundings through real-time object recognition. He studied management at Cass Business School and Singularity University and founded his first startup at 19.
Simon Edwardsson
Previously Lead R&D Engineer at RSI; co-founder of Aipoly. He studied computer science at Chalmers University and the Tokyo Institute of Technology, and earlier created a Tower Defense game for the original iPhone.
Executive Team
Alberto Rizzoli
CEO, Co-founder
Previously CEO and co-founder of Aipoly; serial entrepreneur focused on computer vision and AI.
Simon Edwardsson
CTO, Co-founder
Previously Lead R&D Engineer at RSI and co-founder of Aipoly; computer-science background at Chalmers University and Tokyo Institute of Technology.
Founding Story
Rizzoli and Edwardsson founded V7 after their work on Aipoly showed how computer vision could translate human knowledge into machine perception. V7 was initially created to make trustworthy AI and high-quality training data easier to build by unifying models, datasets and human expertise; the company later expanded from V7 Darwin's training-data platform into V7 Go's multimodal knowledge-work automation.
Business Model
Revenue Model
Sales-led enterprise annual agreements priced around the platform, users and document-processing volume. V7 says contracts are scoped with a custom quote, with platform access, Context Graph/specialized agents, integrations, governance, audit trails, role-based users and processed-document volume included.
Pricing Tiers
No public price list; pricing is scoped in a sales call based on platform, users and documents/workflow volume.
Target Markets
- Private equity and venture capital firms
- Private markets and investment teams
- Insurance carriers, brokers and managing general agents
- Real-estate investment firms
- Legal and professional-services teams
- Healthcare and life sciences
- CIM-to-screening memo and CIM-to-CRM deal creation
- LPA analysis and off-market clause detection
- Data-room-to-investment-committee memo generation
- DDQ completion and operational due diligence
- Portfolio monitoring, covenant-risk and thesis-drift detection
- Investment teaser, one-pager, tear-sheet and LBO model preparation
- Boston Scientific
- Merck
- DB Cargo
- Roche