Deploy AI agents that handle customer support, internal ops, and automated workflows — all grounded in your data, product knowledge, and tools. Build them with a no-code visual builder or a TypeScript SDK, with full 2-way sync between them. Ship customer-facing assistants, internal Slack coworkers, and event-driven automation agents. Open source SDK. Enterprise-ready with SSO, RBAC, PII controls, traces, and evals built in.
@kyrylosilin Hey Kyrylo, our web crawlers intelligently parse websites of all types. We don't expect customers to think about how to index or push their content, we take care of that. We also have built in connectors for common source types like Docusaurus, Readme, Zendesk, Discourse, GitHub and others.
It’s great to hear about your background and passion for AI and product-led teams. How has your experience at MIT and in AI-driven roles influenced the development and direction of Inkeep?
Good luck with the launch!
@ramya_pk It's been very helpful. MIT doesn't teach you any knowledge that doesn't already exist in the world, it's just really good at pressuring you to become a good problem solver. That skill translates to startups and greenfield problem spaces like using LLMs.
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