Contextual AI
Enterprise platform for building specialized RAG agents using advanced context engineering.
Updated April 2026
Overview
- Website
- contextual.ai
- Segment
- RAG & Retrieval
Product overview
Contextual AI builds a unified context engineering platform with Agent Composer for creating production-grade AI agents that handle complex enterprise tasks like technical search and analysis over massive document bases. Used by Fortune 500 companies including Qualcomm, HSBC, and Advantest in tech, finance, and media for secure, accurate RAG applications. Distinct for RAG 2.0 optimizations, multimodal parsing, grounded generation, and enterprise security like SOC2 and VPC deployments.,
Revenue model
On-demand pay-as-you-go (Parse $3-40/1k pages, Rerank $0.02-0.05/M tokens, Generate $3 input/$15 output per M tokens) with $25 free credits; custom Enterprise licensing for advanced features/SLAs.
Moat
- Proprietary Technology
- Proprietary Data
- Scale Advantages
Contextual AI's key competitive moat is its proprietary context engineering platform that transforms general AI models into specialized, production-grade agents by unifying and reasoning over complex enterprise data like technical documents and logs.