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Kapa.ai Inc.

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Knowledge ManagementSoftwarekapa.aiUpdated

Kapa.ai provides a retrieval-based platform that grounds AI agents in diverse knowledge sources to deliver accurate, source-cited answers at scale.

Overview

Kapa.ai is an AI knowledge grounding and retrieval platform that ingests diverse sources to provide accurate, up-to-date context for AI agents. It enables grounding across documentation, code, tickets, and other knowledge sources, so agents can answer complex questions with citations and minimal hallucination. By connecting sources and keeping answers current, Kapa serves teams building product-facing assistants, developer tools, and internal copilots, helping organizations deflect support requests, improve documentation, and empower automated workflows. The platform emphasizes safeguarding data, ensuring access controls and governance, and delivering configurable retrieval that surfaces relevant passages tied to source material.

Mission statement

Turn your documentation and knowledge into always-current context for AI agents.

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What we offer

Answer Engine

Resolve complex technical questions instantly with accurate, sourced answers.

Pricing not published

www.kapa.ai/product/answer-engine

MCP Server

Connect any AI agent to your product knowledge for accurate, contextual responses.

Pricing not published

www.kapa.ai/product/mcp

In-Product Agent

Empower users with an expert AI agent inside your product for instant answers and actions.

Pricing not published

www.kapa.ai/product/in-product-agent

Product Agent SDK

Build Product Agents With Accurate Context Integrated Into Your Applications.

Pricing not published

www.kapa.ai/product-agent-sdk

Support Form Deflector

Deflects up to 70% of support tickets by providing instant answers directly in the support flow.

Pricing not published

www.kapa.ai/solutions/support-form-agent

Market segments

Market size by segment

Growth potential (CAGR)

AI knowledge grounding and retrieval

1.92 Billion USD39.66% CAGR

Capabilities that ingest, index, and surface documentation, code, tickets, and conversations to provide citation-backed, up-to-date context for AI agents and Q&A.

Products: Answer Engine, MCP Server, Product Agent SDK

In-product AI assistants

3.35 Billion USD44.5% CAGR

Embeddable agents and SDKs that enable product-facing assistants to query product knowledge, execute actions, and interact with users with minimal backend maintenance.

Products: In-Product Agent, Product Agent SDK, MCP Server

Customer support automation

12.06 Billion USD25.8% CAGR

Automates drafting and routing of support replies across email, chat and social channels, ticket summarization, trend tracking and empathetic responses to reduce response time and improve consistency.

Products: Support Form Deflector, Answer Engine

Agent infrastructure, observability, and governance

1.68 Billion USD38.69% CAGR

Managed retrieval endpoints, per-audience authentication, role-based access, query visibility, and compliance controls that provide governance and operational visibility for production AI agents.

Products: MCP Server, Answer Engine, Product Agent SDK

More information about our offering

Answer Engine

An AI-powered question-and-answer engine built for technical product content. Ingests thousands of pages and data types to deliver direct, cited answers. Grounded retrieval across 30+ sources with real-time updates and explicit I don’t know guardrails. Deploys across website widgets, Slack/Discord bots, Zendesk, internal copilots, or hosted MCP server via API. Answers are citation-backed and traceable to sources, with analytics to surface coverage gaps.

Pricing not published

  • Provide Reliable Citations
    Each response is backed by direct references to source material, ensuring accuracy and trustworthiness for users.
  • Deploy Across Multiple Channels
    Integrate seamlessly into existing workflows by installing on various platforms, allowing users access to real-time answers wherever they need.
  • Ingest Diverse Content
    Automatically integrate multiple content sources to ensure up-to-date and comprehensive answers for user queries.
  • Ensure Data Security
    Built with strict compliance measures to protect sensitive information and manage user privacy effectively.
  • Enable Cross-Source Answers
    Leverage multiple data points to furnish users with comprehensive responses that draw from various knowledge bases.
  • Personalize User Experience
    Adapt the interface and communication style of your agents to reflect your brand's identity, ensuring a cohesive user interaction.

MCP Server

A hosted MCP server that grounds AI agents in your documentation and data sources. It provides a single endpoint for grounded retrieval across 30+ sources via an MCP interface, with configurable authentication and full visibility into agent queries. Supports source-group scoping and role-based access controls, and is maintained by Kapa.

Pricing not published

  • Connect 30+ Sources
    Integrate with a variety of sources including documentation, GitHub code, tickets, and SDKs for enriched responses.
  • Deploy Instantly
    Get your MCP server running in minutes with no backend management required, enabling rapid deployment.
  • Track User Queries
    Gain insights into user interactions by reviewing what questions are frequently asked and identifying documentation gaps.
  • Control Access Granularly
    Define which source groups are available to different users, ensuring they access only relevant information.
  • Tailor Access Controls
    Configure authentication based on the audience, ensuring secure and appropriate access.

In-Product Agent

An AI agent embedded inside your product, capable of querying your knowledge base, running data queries, and taking actions, all without backend maintenance. Ship with ready-made UI components or headless integration; the agent remains up-to-date through Kapa’s data ingestion.

Pricing not published

  • Integrate Smoothly
    Quickly integrate the agent on your frontend, enabling seamless user experiences without complex backend requirements.
  • Monitor User Interactions
    Track how users engage with the agent, identify common queries, and pinpoint areas for documentation improvement.
  • Ensure Safe Operations
    Implement structured tools and user approvals to maintain control over the actions the agent can perform.
  • Launch in Minutes
    Utilize simple token authentication and predefined data integrations to swiftly deploy the agent into your product.
  • Engage Directly
    Enable users to ask questions and receive direct answers and actions based on the specific context of their needs.

Product Agent SDK

Frontend-first SDK to build product agents within your own apps. The SDK ships as two packages and lets you drop in ready-made UI or run headless with TypeScript; it wires product knowledge into agents without rebuilding retrieval or analytics infrastructure. It provides type-safe tool definitions, guardrails, and analytics, while reusing your existing auth context.

Pricing not published

  • Integrate Comprehensive Knowledge.
    Allows the agent to pull accurate information from multiple sources, ensuring users receive precise answers seamlessly.
  • Embed Agents Seamlessly.
    Facilitates fast integration into your frontend, enabling immediate user interaction with no backend required.
  • Define Safe, Custom Tools.
    Allows you to create custom tools for your AI agent that securely integrate with your existing APIs while maintaining user session controls.
  • Ensure Reliable Knowledge Access.
    Facilitates accurate and immediate retrieval of product knowledge, minimizing operational overhead.
  • Ensure Safety With Guardrails.
    Offers user control and analytics to monitor agent performance, improving quality and safety in user interactions.
  • Flexible Integration Options.
    Utilizes separate packages for React and TypeScript, streamlining the integration process across various frameworks.

Support Form Deflector

A deflector that suggests answers inside the support flow before a ticket is submitted, reducing tickets and deflecting workload. It integrates with your existing support tools and improves user experience by providing accurate, cited content from your docs and knowledge base.

Pricing not published

  • Improves User Experience
    Users receive immediate resolutions to their queries, enhancing satisfaction and reducing frustration during the support process.
  • Reduces Ticket Volume
    By intercepting user submissions and providing answers, it significantly diminishes the number of tickets needing human intervention.
  • Increases Efficiency
    Customers receive direct responses to their questions before even submitting a ticket, improving operational efficiency.
  • Streamlines Support Workflows
    Easily integrates into your existing support framework, maintaining continuity in user support operations.
  • Improves Documentation
    By analyzing deflected tickets, it highlights content gaps, allowing teams to enhance their knowledge base efficiently.

Sources

Methodology and sourcing behind the figures and links shown above.

AI knowledge grounding and retrieval

Primary estimate based on Mordor Intelligence’s Retrieval Augmented Generation (RAG) market: USD 1.92B (2025) with a 39.66% CAGR (2025–2030). Adjacent forecasts (AI search engines and knowledge-graph markets) show sizable, high-growth demand for grounding and retrieval infrastructure, supporting the RAG growth projection.

In-product AI assistants

Estimate based primarily on the MarketsandMarkets AI Assistant market projection (USD 3.35B in 2025; CAGR 44.5% to 2030). Supplementary segment reports (personal and shopping assistants) show comparable high-growth trajectories, supporting strong near-term CAGR for in-product, embeddable assistants as a subsegment of the broader AI assistant market.

Customer support automation

Estimate anchored to AI-focused market reports in the search results. MarketsandMarkets values the AI for Customer Service market at USD 12.06B (2024) with a 25.8% CAGR to 2030; independent reports on generative/agentic AI for customer support show similar high-growth trajectories (mid-20s to high-20s % CAGR), supporting the selected size and growth-rate for customer support automation specifically.

Agent infrastructure, observability, and governance

Primary estimate uses Mordor Intelligence’s dedicated “Agent Observability and Governance” report (direct match to the segment), which projects a 2026 market size of USD 1.68B and a 2026–2031 CAGR of 38.69%. Broader AI observability/governance market reports (Globe Market Research, Next Move/NextMSC, IGTPS) show larger AI observability/TAM figures and CAGRs (23–35% range), corroborating strong near-term growth potential for agent infrastructure, observability, and governance.

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