Contextual AI
Enterprise platform for grounded, retrieval-based AI agents
About Contextual AI
Contextual AI builds a platform for enterprise AI agents grounded in company documents and data, based on retrieval-augmented generation research by its founders. It offers agent building, a document parser, reranker and grounded language model for use in technical and regulated domains.
Common use cases
- Technical document Q&A
- Engineering knowledge agents
- Financial document analysis
- Support automation
Products and services
Contextual AI platform
Build and deploy grounded agents
Grounded Language Model
Model tuned to stay within retrieved sources
Reranker and parser
Retrieval and document processing components
Key features
- Retrieval-augmented generation
- Document parsing
- Reranking
- Source attribution
- Agent building
- Enterprise deployment
Contextual AI alternatives
FAQs
What is its focus?
Grounded RAG agents over enterprise documents.
Who founded it?
Douwe Kiela and Amanpreet Singh, who worked on RAG research.
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