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Inkeep provides a subscription-based conversational search tool designed for developer-focused companies. It uses semantic search to understand the intent behind queries, delivering more relevant results than keyword-based search. Its product can be embedded as a search bar in documentation, a chat widget on product pages, or bots in platforms like Discord or Slack. By offering fine-tuned language models (based on OpenAI's GPT or alternatives), Inkeep tailors responses to a company’s technical content and developer needs. The company differentiates itself by targeting technical documentation-heavy products and offering flexible integrations and language-model customization to improve developer productivity and product usability. Its goal is to help engineering teams find information faster, improve product adoption, and boost customer satisfaction through accurate, context-aware search and chat experiences.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2023
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Total Funding
$130k
Below
Industry Average
Funded Over
1 Rounds
Industry standards
Inkeep launches Agent Builder for customer experience, go-to-market and operations teams. By News Desk On Nov 13, 2025 Inkeep, a company building frameworks to build AI Agents, has announced the launch of its Agent Builder, an AI Agent development platform that synchronizes code and visual interfaces in real time. The release enables technical and non-technical, particularly those in for customer experience, go-to-market and operations teams, to collaboratively build, edit, and deploy AI chat assistants and workflows without sacrificing flexibility or control. With Inkeep's two-way sync between its TypeScript SDK and drag-and-drop visual editor, teams can seamlessly switch between coding and visual editing modes. Developers can build and deploy using code, while operations, marketing, or support teams can refine agents visually - all without version conflicts or vendor lock-in. "We wanted the accessibility of no-code tools like Zapier, but with the power and developer experience of frameworks like LangGraph or Mastra," said Nick Gomez, Co-founder of Inkeep. "By unifying both worlds, teams can scale AI adoption across roles on a single platform." * Build AI chat assistants or workflows using the Inkeep TypeScript SDK. * Push changes made in code to the visual builder using the CLI (inkeep push). * Edit collaboratively in the visual builder or hand off to non-technical teammates. * Pull changes back into code (inkeep pull) to continue development. Inkeep's Agent Builder is built on open protocols for maximum flexibility: * MCP endpoint for use with Cursor, Claude, and ChatGPT. * Chat UI React library for building rich, interactive interfaces. * API endpoint compatible with the Vercel AI SDK useChat hook. * Agent-to-Agent (A2A) interoperability with other ecosystems. The SDK and visual builder share a common underlying representation, ensuring true sync and version consistency. Inkeep's CLI orchestrates communication between both layers using TypeScript and LLM-powered code translation. "We're excited to see how teams use Inkeep to bridge the gap between devs and business users," added Nick Gomez. "Our mission is to make building intelligent, collaborative agents as natural as building a modern web app."
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2023
Find jobs on Simplify and start your career today