Alchemyst AI

Carrying context across agents and tools is tedious and often fragile because it cannot be trusted. We fix that trust and collaboration gap. We are making it for AI-native or AI-first teams who use AI agents to get a lot of their work done.

We create Organizational Knowledge Graphs in an LLM-free manner with our IPs Asym0 and ThinkRag. This ensures that for all business-related tasks, you know the what of your data, the where of your data, and the why of your data. We focus on solving for the trust gap autonomously, something that requires manual work with FDEs embedded in Teams (that is, how Palantir does it) or shoehorning unstructured context from business into schemas (which is what Databricks and Snowflake do).

AI agents are going to be added to more and more workflows, and this will be a common problem across all teams that use them.

We focus on solving for the trust gap autonomously, something that requires manual work with FDEs embedded in Teams (that is, how Palantir does it) or shoehorning unstructured context from business into schemas (which is what Databricks and Snowflake do). The real difficulty lies in covering the edge cases for connecting data points. Eg: Reconcilation of data across documents and conversations, recombining data from different data sources with clear separation of concerns, etc.

technical architecture,dev tools,context engineering