Contextual AI

What Contextual AI does

Contextual AI provides a complete, modular development platform for building enterprise AI agents that delivers exceptional accuracy out of the box. It fills the gap between the unique AI experience needed for each organization and the massive volumes of enterprise data needed to fuel those experiences, referred to as the context layer. With Contextual AI, AI teams can scale faster, build more efficiently, and focus on shipping AI agents, not RAG infrastructure. The platform enables the creation of expert AI agents that reason over technical documentation, specifications, and institutional knowledge, cutting complex tasks from hours to minutes. It offers a unified context layer that powers expert AI in advanced industries, turning generalist AI models into trusted experts by leveraging enterprise data. The platform includes agent orchestration tools for custom dynamic workflows to search and understand complex documents and data. It is designed for production-grade AI, handling millions of documents and thousands of users with flexible configuration and expert support, and deploys agents that deliver accurate answers, verified with sentence-level attributions and visual bounding boxes. Contextual AI also offers powerful platform primitives as component APIs for teams working with existing RAG architectures.

Products

• Contextual AI PlatformA complete, modular development platform for building enterprise AI agents that delivers exceptional accuracy out of the box. It provides a unified context layer for expert AI, enabling the creation of agents that reason over technical documentation, specifications, and institutional knowledge. It includes agent orchestration tools for custom dynamic workflows and supports flexible configuration and expert support for scaling from pilot to production.
• Agent ComposerA tool within the Contextual AI Platform for defining and configuring specialized agents and workflows in minutes using pre-built agents, a natural language prompt-based builder, or a visual editor.
• Parse APIA multi-stage document understanding pipeline for converting unstructured content into AI-ready formats, available in basic (text only) and standard (multimodal) versions.
• Rerank APIA state-of-the-art instruction-following reranker that provides greater control over how retrieved knowledge is prioritized, available in Rerank-v2 and Rerank-v2-mini versions.
• Generate APIThe most grounded large language model in the world, engineered specifically to minimize hallucinations, used for producing responses using selected documents.
• LMUnitAn evaluation-optimized model for preference, direct scoring, and natural language unit test evaluation.

Key capabilities

• Unified context layer
• Agent orchestration tools
• Custom dynamic workflows
• Sentence-level attributions
• Visual bounding boxes
• On-demand, usage-based pricing
• Enterprise offerings with custom pricing
• Unlimited users, agents, datastores, and workspaces (Enterprise plan)
• User roles and admin permissions
• Document access entitlements
• SOC2 Type II compliance
• HIPAA compliance
• SAML / SSO
• Role-based access control (RBAC)
• Usage analytics
• Pipeline observability
• Uptime SLA
• Support for simple text documents
• Support for complex docs, charts, and images
• Support for unstructured data
• Support for structured data
• UI-based ingestion
• Continuous data ingestion
• Data integrations
• Standard data retention
• Custom data retention
• Query optimization (reformulates and decomposes query)
• Retrieve (gets relevant docs from knowledge base)
• Rerank (reorders relevant docs by relevance)
• Filtering (selects top-k most relevant docs)
• Generate (produces response using selected docs)
• Groundedness & safety (evaluates whether generated response is supported by retrieved docs)
• Tokens per second (TPS) throughput Commitment
• Pre-built agent templates
• Fully custom agent configuration
• Contextual SaaS deployment
• Customer VPC deployment
• Dedicated support
• Onboarding services
• Custom development support
• Component APIs (Parse, Rerank, Generate, LMUnit)
• GDPR compliance
• Flexible deployment options (multi-tenant SaaS, dedicated cloud instances, private VPC, on-premises)
• Respected document entitlements
• End-to-end encryption (in-transit and at-rest)
• Guardrails for safety & compliance
• Python SDK
• TypeScript SDK
• JavaScript SDK
• Data Encryption (TLS, AES)
• Data Isolation (multi-tenant architecture)
• Two-Factor Authentication
• Single Sign-On (SAML/OIDC)
• Infrastructure Security (GCP, Kubernetes)
• Application Security (SAST, SCA, vulnerability scanning)
• Business Continuity (automated failover, distributed architecture)
• Disaster Recovery (cloud backups, testing, geographical redundancy)
• Monitoring & Response (Intrusion Detection via Panther)
• Incident Response procedures
• Bug Bounty Program
• Endpoint Protection (Crowdstrike partnership)
• Email Protection (SPF, DMARC, DKIM, Checkpoint)
• Password Management (1Password)
• SSO Integration

Use cases

• Reliably automate responses to technical inquiries using context from datasheets, call logs, and product data (Agentic search)
• Quickly diagnose errors and anomalies in large, complex log files (Device log analysis, Root cause analysis)
• Create detailed reports identifying IP conflicts and compliance gaps based on prior art and regulatory requirements (IP & compliance research, Deep research)
• Empower internal teams to find answers fast by searching across scattered knowledge sources (Enterprise knowledge management, Basic search)
• Cross-reference documents across multiple systems to generate an audit-ready requirements traceability matrix (Qualification report generation, Task execution agent)
• Accurately extract key data from hundreds of messy data room documents and prepare them for analysis (Data room analysis, Structured Extraction)
• Investment research
• Asset allocation strategy
• Fund performance review
• ESG screening
• Due diligence (financial services, legal)
• Company briefings
• M&A integration planning
• Pitch book automation
• Credit memo generation
• Covenant monitoring
• Treasury solutions
• Working capital analysis
• Credit assessment
• Client retention strategy
• Branch evaluation
• Client feedback resolution
• Risk assessment (insurance, financial services)
• Customer segmentation
• Fraud detection
• Reinsurance optimization
• Earnings call preparation
• Investor feedback review
• Competitive intelligence
• Disclosure guidance
• Risk exposure analysis
• Contract review
• Regulatory reporting
• Precedent identification
• Incident resolution (IT support)
• System integration (IT support)
• Policy enforcement (IT support)
• Vendor assessment (IT support)
• Flight & Systems Test Anomaly Detection
• Device Log Error Analysis
• Equipment Failure Prediction
• Drilling Operations Advisor
• Issue Disposition Ticket Review
• Engineering support challenges resolution
• Knowledge management
• Chip design
• Component testing
• Support case resolution (technology & engineering)
• IP & patent review
• Supply chain optimization
• Predictive maintenance (hardware)
• Quality assurance (hardware)
• BOM data analysis
• Code review
• Architecture planning
• Release management
• Documentation drafting
• Network planning
• Protocol design
• Service reliability analysis
• Field engineering support
• Threat assessment
• Incident investigation (cyber security)
• Audit log analysis
• Compliance management
• Engagement analysis (digital media)
• Content curation
• Platform scaling
• Rights management
• Inventory management
• Customer segmentation (ecommerce)
• Delivery routing
• Dynamic pricing
• Capacity planning
• Performance monitoring
• Outage report automation
• Cost & margin review
• Patent review (legal)
• Contract drafting
• Litigation preparation
• Management consulting
• Market research
• Strategy development
• Change management
• Post-merger integration
• Cost optimization (technology consulting)
• Legacy system analysis
• Integration planning (technology consulting)
• Cloud migration strategy
• Vulnerability assessment (technology consulting)
• Crisis response
• Sentiment analysis
• Communication planning
• Media impact analysis

AI approach

Contextual AI provides a complete, modular development platform for building enterprise AI agents, focusing on a 'context layer' to enhance accuracy. They build specialized RAG agents and offer powerful platform primitives as component APIs for document understanding, reranking, and grounded language models. Their platform is designed to turn generalist AI models into trusted experts by leveraging enterprise data and orchestrating custom dynamic workflows.

Tech named: Artificial Intelligence, Retrieval-augmented Generation (RAG), Large Language Models, Generative AI, AI/ML Ops, Machine Learning, LLM Evaluation, Agent Composer, context layer, Rerank-v2, Rerank-v2-mini, LMUnit, multi-stage document understanding pipeline, query optimization, groundedness & safety evaluation

Industries served

• Financial Services
• Asset Management
• Investment Banking
• Corporate Banking
• Retail Banking
• Insurance
• Investor Relations
• Legal
• Technology
• Semiconductors
• Hardware
• Software
• Telecom
• Cyber Security
• Digital Media
• Ecommerce
• Cloud Infrastructure
• Aerospace
• Manufacturing
• Energy
• Professional Services
• Management Consulting
• Technology Consulting
• Public Relations & Communications
• Logistics

What it says sets it apart

• Complete, modular development platform for enterprise AI agents
• Exceptional accuracy out of the box
• Fills the gap between unique AI experience and massive enterprise data volumes (context layer)
• Enables AI teams to scale faster and build more efficiently
• Focus on shipping AI agents, not RAG infrastructure
• Unified context layer for expert AI in advanced industries
• Builds AI agents that reason over technical documentation, specifications, and institutional knowledge
• Cuts complex tasks from hours to minutes
• Turns generalist AI models into trusted experts using enterprise data
• Agent orchestration tools for custom dynamic workflows
• Scales from pilot to production, handling millions of documents and thousands of users
• Flexible configuration and expert support
• Deploys agents with accurate answers, verified with sentence-level attributions and visual bounding boxes
• Offers powerful platform primitives as component APIs for existing RAG architectures
• Outperforms competing enterprise AI systems built with leading frontier models (e.g., Claude Sonnet, ChatGPT) in accuracy for technical, complex, and knowledge-intensive workloads
• Enterprise-grade security and governance (SOC 2 certified, HIPAA, GDPR, RBAC, encryption, query guardrails)
• Flexible deployment options (SaaS, VPC, on-premises)
• Hands-on partnership with AI experts throughout the agent development process
• Deep commitment to AI research
• Specialized RAG agents built with the platform deliver exceptional end-to-end accuracy
• Broad support for all enterprise data, including multimodal documents, structured databases, data warehouses, and popular SaaS applications
• Ability to build specialized agents and workflows in minutes using Agent Composer's pre-built agents, natural language prompt-based builder, or visual editor
• Continually processes massive volumes of enterprise data from any source, transforming unstructured documents, databases, and media into rich, retrievable information
• Evaluation and improvement capabilities for production agents with reliable scaling across enterprise document volumes and user bases

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.