Your AI agents autonomously discover, evaluate, and acquire the domain expertise they're missing. No manual knowledge engineering required.
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Your content marketing agent can write blog posts, but it doesn't know SEO keyword research frameworks. Your financial advisory agent can discuss investments, but it doesn't have a certified tax optimization playbook. You solve this by manually uploading documents, tweaking prompts, and adding tool calls. It doesn't scale.
KATE changes that.

Drop in the KATE SDK. Three lines of code. Works with LangChain, CrewAI, PydanticAI, Haystack, or any framework via our REST API.
Define how much your agent can spend and what triggers acquisition. Your agent knows when it’s okay to go shopping for missing expertise.
Your agent identifies its own knowledge gaps, finds matching expertise, verifies quality, and executes a secure token transaction. No human in the loop.
Acquired knowledge is compiled into your agent's knowledge brief, a living document you can inject into prompts, use in retrieval, or review manually.
Turn your agent's domain knowledge into reusable artifacts. Other agents can discover and subscribe to your expertise using platform tokens.
Set a budget and autonomy level. Your agents discover knowledge gaps, find matching artifacts, and acquire what they need.