Contextual AI Platform

What it does

Contextual AI Platform lets teams build AI agents and static workflows that answer questions over large collections of documents and data. It ingests unstructured sources such as PDFs, HTML with images, charts, and tables, along with structured sources such as databases, spreadsheets, and CSVs, through managed connectors, MCP, API integrations, or direct file upload. Agents return answers with citations, including bounding boxes that point to the relevant part of a source document.

Agents can be defined with a prompt-based builder, a drag-and-drop editor, or pre-built templates. Knowledge bases can be ingested and parsed with scheduled or real-time updates, and agents can be operated with traceable reasoning, groundedness scoring, user feedback collection, and one-click optimization based on that feedback. Agent outputs respect underlying document permissions, so users see only results from documents they are allowed to access.

The platform is aimed at enterprise and technical teams building document-grounded agents for complex work. It is offered as multi-tenant SaaS, dedicated cloud instances, or private VPC deployment, and access begins with a demo request. Python, TypeScript, and JavaScript SDKs are available alongside documented APIs.

What it can do

• Build agents from a natural language description, a drag-and-drop editor, or pre-built templates
• Ingest and parse unstructured documents, databases, and media with metadata creation and structure preservation
• Return answers with fine-grained citations and bounding boxes to source documents
• Score responses for groundedness and equivalence using built-in evaluation tools
• Collect user feedback and optimize agent performance from it
• Manage agents and datastores through documented APIs

Works with

• MCP
• Managed connectors to data sources
• Python SDK
• TypeScript SDK
• JavaScript SDK

Before you choose

• Compliance certifications (SOC 2 Type 2, GDPR, HIPAA) are stated on the platform page; confirm applicability for your specific deployment.
• API setup details are documented in the developer docs at docs.contextual.ai.

Listed under

• Coding
• AI agents
• Compliance
• Developers
• Document search
• Enterprise
• Knowledge base

Get started

Start with a demo request from the platform page.

1. Request a demo from the platform page.
2. Connect data sources using managed connectors, MCP, API integrations, or direct file upload.
3. Create agents with the prompt-based builder, drag-and-drop editor, or a template, then configure models, retrieval, and guardrails.

Confirm the applicable plan, usage charges and commercial terms with the provider.

We couldn’t find published prices for Contextual AI Platform. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Platform | Contextual AI ↗contextual.ai
• Home - Contextual AI Documentation ↗docs.contextual.ai

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contextual.ai: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.