Kapa.ai Inc.
UnclaimedKapa.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.
One of 23 AI agents in Knowledge Management · Read recently by OpenAI, Perplexity, Meta, Amazon
What we offer
Answer Engine
Resolve complex technical questions instantly with accurate, sourced answers.
Pricing not published
www.kapa.ai/product/answer-engineMCP Server
Connect any AI agent to your product knowledge for accurate, contextual responses.
Pricing not published
www.kapa.ai/product/mcpIn-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-agentProduct Agent SDK
Build Product Agents With Accurate Context Integrated Into Your Applications.
Pricing not published
www.kapa.ai/product-agent-sdkSupport 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-agentMarket segments
Market size by segment
Growth potential (CAGR)
AI knowledge grounding and retrieval
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
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
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
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 CitationsEach response is backed by direct references to source material, ensuring accuracy and trustworthiness for users.
- Deploy Across Multiple ChannelsIntegrate seamlessly into existing workflows by installing on various platforms, allowing users access to real-time answers wherever they need.
- Ingest Diverse ContentAutomatically integrate multiple content sources to ensure up-to-date and comprehensive answers for user queries.
- Ensure Data SecurityBuilt with strict compliance measures to protect sensitive information and manage user privacy effectively.
- Enable Cross-Source AnswersLeverage multiple data points to furnish users with comprehensive responses that draw from various knowledge bases.
- Personalize User ExperienceAdapt 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+ SourcesIntegrate with a variety of sources including documentation, GitHub code, tickets, and SDKs for enriched responses.
- Deploy InstantlyGet your MCP server running in minutes with no backend management required, enabling rapid deployment.
- Track User QueriesGain insights into user interactions by reviewing what questions are frequently asked and identifying documentation gaps.
- Control Access GranularlyDefine which source groups are available to different users, ensuring they access only relevant information.
- Tailor Access ControlsConfigure 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 SmoothlyQuickly integrate the agent on your frontend, enabling seamless user experiences without complex backend requirements.
- Monitor User InteractionsTrack how users engage with the agent, identify common queries, and pinpoint areas for documentation improvement.
- Ensure Safe OperationsImplement structured tools and user approvals to maintain control over the actions the agent can perform.
- Launch in MinutesUtilize simple token authentication and predefined data integrations to swiftly deploy the agent into your product.
- Engage DirectlyEnable 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 ExperienceUsers receive immediate resolutions to their queries, enhancing satisfaction and reducing frustration during the support process.
- Reduces Ticket VolumeBy intercepting user submissions and providing answers, it significantly diminishes the number of tickets needing human intervention.
- Increases EfficiencyCustomers receive direct responses to their questions before even submitting a ticket, improving operational efficiency.
- Streamlines Support WorkflowsEasily integrates into your existing support framework, maintaining continuity in user support operations.
- Improves DocumentationBy 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.
- Market Size (2025) USD 1.92 Billion; Market Size (2030) USD 10.20 Billion; Growth Rate (2025 - 2030) 39.66%.
- AI search engine market was valued at USD 18.5 billion in 2025 and is projected to reach USD 78.19 billion by 2036, a 14.0% CAGR.
- Knowledge graph market projected to reach USD 9.88 billion by 2032 from USD 1.90 billion in 2026, at a CAGR of 31.6%.
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.
- Market Size Value in 2025: USD 3.35 Billion; Growth Rate: CAGR of 44.5% from 2025 to 2030.
- The Global Personal AI Assistant Market is valued at approximately USD 2.23 Billion in 2024 and growing at a strong rate (report data).
- AI shopping assistant market size is USD 4.34 billion in 2025; forecast USD 37.45 billion by 2034; CAGR 27.04%.
- Artificial Intelligence market worldwide expected value US$617.62bn by 2026; CAGR 14.82% (2026-2032).
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.
- Market size was valued at USD 12.06 billion in 2024 and is projected to reach USD 47.82 billion by 2030, at a CAGR of 25.8%.
- Market expected to increase from USD 7.82 billion in 2025 to USD 34.12 billion by 2031, CAGR 28.18%.
- AI For Customer Service Market was valued at USD 12.58 billion in 2024 and is expected to reach USD 73.99 billion by 2032, CAGR 24.92%.
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.
- Kapa.ai Inc.
- Answer Engine
- MCP Server
- In-Product Agent
- Product Agent SDK
- Support Form Deflector
- Market Size (2025) USD 1.92 Billion; Market Size (2030) USD 10.20 Billion; Growth Rate (2025 - 2030) 39.66%.
- AI search engine market was valued at USD 18.5 billion in 2025 and is projected to reach USD 78.19 billion by 2036, a 14.0% CAGR.
- Knowledge graph market projected to reach USD 9.88 billion by 2032 from USD 1.90 billion in 2026, at a CAGR of 31.6%.
- Market Size Value in 2025: USD 3.35 Billion; Growth Rate: CAGR of 44.5% from 2025 to 2030.
- The Global Personal AI Assistant Market is valued at approximately USD 2.23 Billion in 2024 and growing at a strong rate (report data).
- AI shopping assistant market size is USD 4.34 billion in 2025; forecast USD 37.45 billion by 2034; CAGR 27.04%.
- Artificial Intelligence market worldwide expected value US$617.62bn by 2026; CAGR 14.82% (2026-2032).
- Market size was valued at USD 12.06 billion in 2024 and is projected to reach USD 47.82 billion by 2030, at a CAGR of 25.8%.
- Market expected to increase from USD 7.82 billion in 2025 to USD 34.12 billion by 2031, CAGR 28.18%.
- AI For Customer Service Market was valued at USD 12.58 billion in 2024 and is expected to reach USD 73.99 billion by 2032, CAGR 24.92%.
- Market Size (2026) USD 1.68 Billion; Growth Rate (2026 - 2031) 38.69%.
- Revenue, 2026 USD 4.1 Bn; Forecast, 2035 USD 27.2 Bn; CAGR, 2026-2035 23.4%.
- Market size valued at USD 2.94 Billion in 2025; CAGR 31.1% from 2026 to 2035.
- Market Size (2025): USD 2.85 Billion; Size and CAGR 35.8%.
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