V7 offers AI-driven workflow automation and data labeling tools for various industries, including finance and healthcare
HQ
United Kingdom
Founded
2018
Employees
99
V7 offers a comprehensive suite of AI tools designed to automate workflows and build domain-specific AI solutions. The platform specializes in AI document processing and data labeling, catering to industries such as finance, insurance, healthcare, and logistics.
V7 Darwin is a complete toolkit for training data engines. It includes automated labeling tools, models in the loop, annotation services, and a powerful API. This platform is designed to boost labeling speed and accuracy with AI-assisted tools like SAM2 and V7 Auto-Annotate. It allows human annotators to focus on complex cases by automating repetitive tasks.
V7 Go leverages best-in-class foundation models from OpenAI, Gemini, and Anthropic to automate multi-modal tasks reliably at scale. It enables users to break down company work into steps for large language models (LLMs) to reason via chain of thought. This platform connects systems of record to bring AI agents into workspaces, enhancing productivity and efficiency.
Both platforms offer enterprise-grade compliance and scalability with end-to-end encryption and SOC 2 Type II certification. They are built for CTOs but are used by everyone, enabling teams to automate repetitive parts of their work through a centralized, no-code framework for LLMs. V7’s solutions are designed to keep data private and secure while providing powerful AI workflows.
V7 is based in London, United Kingdom. The company was founded in 2018 and has grown to a team of 99 employees.
V7 adheres to enterprise-grade compliance standards, including end-to-end encryption and SOC 2 Type II certification. This ensures that all data processed through their platforms remains secure and private.
V7’s platforms are trusted by world-renowned financial institutions and Fortune 500 companies. Their solutions have been praised for significantly speeding up labeling processes and decreasing time-to-value by up to 95%. The company’s workforce includes a network of 40,000 expert annotators, providing specialized training data across various sectors.
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