Contextual AI
An enterprise RAG platform that builds specialized AI agents grounded in a company's private documents for accurate, source-cited answers in regulated industries.
Pros
- Founded by FAIR/Hugging Face alumni
- enterprise-grade RAG-to-agents platform
- $100M Series A funding
- recent launch of Agent Composer (Jan 2026)
Cons
- No public pricing available
- enterprise-only positioning limits accessibility
- requires significant technical implementation
- sales-driven procurement
Cost
The On-Demand plan is pay-as-you-go and gives new users $25 in free credits, while Enterprise is custom-quoted; the component APIs are billed by usage: Parse costs $3 per 1,000 pages for text and $40 per 1,000 pages multimodal; Rerank-v2 costs $0.05/M tokens and Rerank-v2-mini $0.02/M tokens; Generate costs $3/M input tokens and $15/M output tokens; LMUnit costs $3/M input tokens.
Verdict
Best for large enterprises in aerospace, semiconductors, and finance building specialized RAG agents with proprietary knowledge bases.
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