The Contextual AI platform creates the missing context layer between enterprise data and AI intelligence tools, making specialized agents accurate, relevant, and comprehensive enough to reach production.
Get started in minutes with $50 in free credits to ingest and ask questions about your most complex documents. Contextual AI provides a complete, modular development platform for building enterprise AI agents that delivers great accuracy out of the box. We fill the gap between the unique AI experience needed for each organization and the massive volumes of enterprise data needed to fuel those experiences. We call this the context layer. With Contextual AI, AI teams can scale faster, build more efficiently, and focus on shipping AI agents, not RAG infrastructure.
Highlights
Focus on agentic search - We are not a generic model company. We build world class tools for context engineering.
Scalable & enterprise-grade - Production-ready platform with SOC 2 and HIPAA compliance, flexible deployment, and uptime SLAs. Scales to 100,000s of documents.
State-of-the-art performance - Optimized components, driven by leading AI research, delivering great accuracy out of the box.
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension based on Model Units. You buy access to the platform through a contract, and your cost scales with token usage measured in Model Units. Tokens reflect how much data your agents process across the platform. As your workload grows, your usage of Model Units grows with it. This is a usage-based structure under a contract commitment, so there are no separate tiers or instance sizes to choose between. You pay according to how many Model Units you consume.
Top-of-mind questions for buyers
What counts as one Model Unit for billing purposes?
A Model Unit is a token-based measure of the data your agents process across the platform. Tokens count the volume of content moving through document parsing, retrieval, reranking, generation, and evaluation. Your consumption of these tokens accumulates into Model Units. Higher data processing volumes consume more Model Units.
How does my cost change as my agent workloads grow?
Cost scales with the tokens your agents consume, measured as Model Units. Processing more documents, running more retrieval, or handling more user queries increases token usage. As workload grows, your Model Unit consumption rises accordingly. There are no separate tiers or instance sizes to select between.
What capabilities does the single-tenant platform include under this contract?
You get context engineering tools for building agents, including document parsing, retrieval, reranking, response generation, and evaluation. The platform ships with security controls, compliance certifications, role-based access, and end-to-end encryption. This single-tenant deployment runs as a dedicated instance rather than shared infrastructure.
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Vendor refund policy
Fees are non-refundable and non-cancelable. Fees may be subscription-based, flat fees, and/or usage-based. Contextual may terminate the customer's use of such portion of the Services and provide to the customer a pro-rata refund of any prepaid Fees.
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