
51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🏥 Healthcare
💸 Finance
Artificial Intelligence • Healthcare • Finance
Vecten is an AI-native data and technology partner that builds proprietary data infrastructure and AI systems for private capital (venture capital and private equity) and healthcare & life sciences. It offers a full-stack delivery model — strategy workshops (Vecten Compass), an AI-native data platform deployed in client clouds (Vecten Core), an edge intelligence layer with ML models, LLM workflows and AI agents (Vecten Edge), and continuous operations with forward-deployed engineers and domain-specific AI agents (Vecten Drive). Vecten emphasizes compliant, production-ready systems (including HIPAA-aligned solutions for healthcare), measurable business outcomes, and long-term engineering partnerships; its clients collectively manage $1. 2T+ in assets and the company highlights ~15 years of engineering depth.
Selected: 🆕 Date Added.
🕒 September 12
Senior Backend Engineer building a Nest.js/TypeScript multi-tenant policy gateway for a US insurance carrier. Delivering AWS integrations, policy mapping, observability, and tenant isolation.
🕒 August 28
Full-Stack Tech Lead scaling a Django/React multi-tenant SaaS platform for restaurant and F&B owners. Owning architecture, cloud infrastructure, integrations, and hands-on engineering leadership.
🕒 August 26
Senior Data Engineer rebuilding Azure-Snowflake data platforms for an AI and healthcare technology partner. Productionizing ML pipelines and owning DevOps, migrations, and insurance reporting.
🕒 July 27
Senior AI Engineer crafting LLM-powered applications for a Fortune 500 investment firm. Collaborating on infrastructure and data platform projects focusing on AI systems.
🕒 July 27
AI-Native Engineer focused on building AI-powered infrastructure for VC and PE clients. Engaging in technical strategy with executives and delivering production-grade AI systems.
🕒 July 27
Senior Data Engineer joining AI-native company to implement data systems for investment decision-making. Collaborating on data integration and building data pipelines for machine learning.