Contextual AI

Contextual AI

Enterprises in advanced industries such as financial services, engineering & manufacturing, and legal & professional services that need to build AI agents over complex technical documentation and institutional knowledge.

contextual.ai
Type
Private company
Pricing
Usage-based
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Overview

Contextual AI is an enterprise AI company that provides a context engineering platform for building AI agents and applications that work securely on company data. The platform is designed for mission-critical, knowledge-intensive use cases, enabling organizations to build agents that reason over technical documentation, specifications, and institutional knowledge. The company is backed by investors including Bain Capital Ventures, Greycroft, Lightspeed Ventures, NVentures, HSBC Ventures, Snowflake Ventures, Bezos Expeditions, and SV Angel. It has raised a total of $100M in funding over two rounds, with an $80M Series A announced in a company blog post.

What it does

Contextual AI offers a unified context layer that extracts precise context from enterprise data and passes it to AI models. The platform includes Agent Composer, a tool for building and configuring AI agents using pre-built templates, a natural language prompt-based builder, or a drag-and-drop visual editor. It supports ingesting and parsing large volumes of multimodal data (PDFs, HTML, images, charts, tables, databases), provides retrieval-augmented generation (RAG) capabilities with query optimization, retrieval, reranking, and filtering, and includes evaluation tools like groundedness scoring and user feedback collection. The platform also offers component APIs for teams that want to integrate individual RAG components (Parse, Rerank, Generate, LMUnit) into their existing architecture.

Key features

  • Agent Composer with pre-built agent templates, prompt-based builder, and drag-and-drop visual editor
  • Comprehensive AI toolkit including document and database search, web retrieval, MCP tools, parsing, and automated evaluation
  • State-of-the-art parsing for complex documents with structure preservation and automatic metadata creation
  • Agentic extraction for documents too complex for standard OCR
  • Multimodal data support for unstructured and structured sources
  • Continuous ingestion with scheduled and real-time updates
  • Traceable agent reasoning with visual thought processes and granular citations with bounding boxes
  • Groundedness scoring and natural language evaluation for output quality

Use cases

  • Automating responses to technical inquiries using context from datasheets, call logs, and product data
  • Root cause analysis of errors and anomalies in large, complex log files
  • IP & compliance research, creating detailed reports identifying IP conflicts and compliance gaps
  • Enterprise knowledge management with basic search across scattered knowledge sources
  • Qualification report generation by cross-referencing documents to create audit-ready requirements traceability matrices
  • Data room analysis with structured extraction from messy data room documents

Pricing

Usage-based
PlanPrice
On-demand—
Enterprise—

Component APIs have usage-based pricing: Parse Basic (text only) $3/1,000 pages, Parse Standard (multimodal) $40/1,000 pages; Rerank-v2 $0.05 per million tokens, Rerank-v2-mini $0.02 per million tokens; Generate input $3/1M tokens, output $15/1M tokens; LMUnit input $3/1M tokens.

View current pricing

Pricing is gathered from the company's public pages and may change. Check the vendor's site before buying.

Pros and cons

Strengths

  • High accuracy at scale, as demonstrated by Qualcomm's production deployment handling millions of pages of technical documents
  • All-in-one platform with pre-built agents, templates, and a comprehensive toolkit, reducing the need to piece together disparate components
  • Strong enterprise security and compliance certifications (SOC 2 Type II, HIPAA, GDPR, CCPA)
  • Flexible deployment options including multi-tenant SaaS, dedicated cloud, and private VPC
  • Usage-based pricing with a free credit offer for on-demand plans
  • Component APIs available for teams wanting to integrate individual RAG components into existing architectures

Limitations

  • Pricing for the Enterprise plan is not publicly disclosed and requires contacting sales
  • The on-demand plan has limitations such as a maximum of one workspace and one data integration, and lacks SAML/SSO and role-based access control
  • No free tier is offered, though $25 in free credits are available for the on-demand plan
  • The platform is enterprise-focused and may require technical setup and configuration for complex use cases

What sets it apart

  • Unified context layer that extracts precise context from enterprise data and passes it to AI models
  • Sentence-level attributions and visual bounding boxes for verifiable outputs
  • Groundedness scoring and natural language evaluation for output quality
  • Pre-built agents and templates for complex technical use cases
  • Component APIs for teams wanting to integrate individual RAG components into existing architectures

Ecosystem

Notable customers

QualcommShipBob

Frequently asked questions

What is Contextual AI?

Contextual AI is an enterprise AI company that provides a context engineering platform for building AI agents and applications that work securely on company data. It is designed for mission-critical, knowledge-intensive use cases.

What are the main products?

The main products are the Contextual AI Platform (which includes Agent Composer) and Component APIs. The platform offers tools for building, deploying, and operating AI agents, while Component APIs provide individual RAG components like Parse, Rerank, Generate, and LMUnit.

What industries does Contextual AI serve?

Contextual AI serves financial services, engineering & manufacturing, and legal & professional services, among others.

What security and compliance certifications does Contextual AI have?

Contextual AI is SOC 2 Type II certified, HIPAA compliant, GDPR compliant, and CCPA compliant. It also offers role-based access control and flexible deployment options including multi-tenant SaaS, single-tenant SaaS, and private VPC.

How much does Contextual AI cost?

Contextual AI offers on-demand, usage-based pricing with $25 in free credits, and an Enterprise plan with custom pricing. Component APIs have specific usage-based prices, such as $3 per 1,000 pages for basic parsing and $0.05 per million tokens for Rerank-v2.

Who are some notable customers?

Notable customers include Qualcomm and ShipBob. Qualcomm uses the platform to resolve engineering support challenges, handling tens of thousands of support cases annually.

Sources

This profile was compiled from the company's own pages and public web research.

Last researched August 11, 2026.

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