Contextual AI
Enterprise platform for building grounded, specialized RAG agents.
About
Contextual AI is a Mountain View startup building an enterprise platform for specialized retrieval-augmented generation agents, marketed as RAG 2.0. It was founded in 2023 by Douwe Kiela, who co-invented RAG while at Meta FAIR, and Amanpreet Singh. The platform combines end-to-end trainable retrieval with a Grounded Language Model (GLM) aimed at improving factual accuracy, deployable as SaaS or on-prem so data never leaves the customer's environment.
The company raised an $80 million Series A in August 2024 led by Greycroft, with Bezos Expeditions, Nvidia's NVentures, HSBC Ventures, Snowflake Ventures, Bain Capital Ventures, and Lightspeed participating, at an estimated $609 million valuation (PitchBook). The platform reached general availability in January 2025, with HSBC and Qualcomm among its clients.
Caveats: RAG capabilities are being commoditized inside hyperscaler AI suites, so differentiation rests on retrieval quality and grounding claims that should be validated on your own documents. Enterprise deployments carry the usual long sales and security-review cycles.
What it can do
- End-to-end trainable RAG pipelines
- Grounded Language Model for accuracy
- SaaS or on-prem deployment
- Agent builder for enterprise use
- Evaluation and monitoring tooling
Setup
Contact sales for enterprise onboarding; build RAG agents via the platform UI or API on SaaS or on-prem.
Prerequisites
Enterprise agreement; document corpora to ground agents on.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 82; Trending score 84/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.