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AI Infrastructure & MLOps Paid

Contextual AI

Enterprise RAG platform for grounded agents over complex private data

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PricingPaid
Starting price$0.02/1M tokens
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedAugust 1, 2026
Overview

Tool overview

Contextual AI is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Contextual AI?

Contextual AI provides a platform for building grounded enterprise agents over private data. It combines document parsing, retrieval, reranking, grounded generation, evaluations, connectors, observability, and customizable agent workflows through a visual interface and APIs.

Best fit

Best for

Enterprise teams building grounded agents over proprietary knowledge

Audience

Who is it for?

AI application developersEnterprise search teamsData platform teamsKnowledge-management leadersML engineers
Recommendation

Decision note

Suitable for evaluation after confirming current commercial terms, lifecycle status, aliases, data handling, and edit-screen controls. Keep Needs Review enabled until a human verifies the final WordPress profile.

Capabilities

Key features

Grounded agents with citations over private data

Multimodal parsing for complex documents

Instruction-following retrieval and reranking

Visual and API-based agent workflows

Built-in evaluations, analytics, and observability

Managed, private-cloud, and customer-VPC deployment

Workflows

Use cases

Building enterprise knowledge assistants

Searching complex internal documents

Creating grounded research agents

Adding RAG components to existing architectures

Evaluating retrieval and generated answers

Strengths

Pros

  • Transparent usage pricing for self-service access
  • Free credits support practical product evaluation
  • Official Python and Node.js SDKs
  • Enterprise controls include SOC 2 and HIPAA
Considerations

Limitations

Contextual AI reduces hallucination risk but does not guarantee complete or correct answers. Teams should test ingestion, entitlements, citations, retrieval, evaluations, model outputs, retention, connector permissions, and regulated-data handling before production use.

Cost

Pricing details

Pricing modelPaid
Starting price$0.02/1M tokens
Free planNo
Free trialYes
Pricing context

Billing options

Pay-as-you-goFree trial creditsCustom Enterprise
Pricing context

Pricing note

On-demand access has no commitment or minimum and includes $25 in trial credits, or $50 with a work email. Published component pricing starts with Rerank-v2-mini at $0.02 per million tokens. Enterprise pricing is custom.

View official pricing
Compatibility

Supported languages

  • Python
  • JavaScript
  • Go
Connectivity

Integrations

Snowflake

Elastic

Slack

SharePoint

Box

Google Drive

Salesforce

MCP

Webhooks

Specs

Technical details

PlatformsWeb, API
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyContextual AI, Inc.
Launch year2023
Models / versionsParse Rerank v2 Rerank v2 mini Generate LMUnit
Editions / plansOn-demand Enterprise
Data confidenceHigh
Last verifiedAugust 1, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Contextual AI provides a platform for building grounded enterprise agents over private data. It combines document parsing, retrieval, reranking, grounded generation, evaluations, connectors, observability, and customizable agent workflows through a visual interface and APIs.
Enterprise teams building grounded agents over proprietary knowledge
The listed pricing model for Contextual AI is paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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