AI data labeling and no-code agent platform for regulated industries
V7 builds data labeling infrastructure and no-code AI agent tools for legal, finance, insurance, and accounting teams. The tech stack spans functional languages (Elixir, Scala, Haskell, Clojure, F#) alongside Python and cloud platforms (AWS, GCP, Azure), indicating a data-processing-heavy architecture designed for accuracy and auditability. Active compliance work (SOC 2, HIPAA, ISO 27001, GDPR) and a sales-to-engineering hiring ratio of 7:4 point to a compliance-first product in regulated verticals, with near-term focus on market expansion and new customer acquisition in finance.
V7 operates a dual-product platform: a data labeling service for training custom AI models, and V7 Go, a no-code agent builder for knowledge workers in finance, legal, insurance, and accounting. The company processes multi-modal data (documents, images, structured records) and returns verifiable, transparent AI outputs. Founded in 2018 and based in London, V7 is 51–200 employees and hiring steadily across UK, US, and Canada. Current priorities center on scaling multi-tenant infrastructure, expanding sales footprint in the finance vertical, and hardening compliance posture across major standards.
V7 runs on AWS, GCP, and Azure with Terraform and Docker for infrastructure. The backend uses Elixir, Scala, Go, and Python; functional languages (Haskell, Clojure, F#) suggest data pipeline work. LLM integrations include GPT, Claude, and Gemini.
Core projects include the V7 Go platform, foundation models for multi-modal data, sales expansion in the finance vertical, and compliance infrastructure (SOC 2, HIPAA, ISO 27001, GDPR). Finance operations scaling and UK/US entity consolidation are also active.
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