Maximal
Natural
Artificial
Building the Knowledge Foundation for Agentic Institutions
Companies are using generalist AI for specialized domains and hoping RAG bails them out.
Why not use specialized AI? Model training is automated anyways…
Maximal Intelligence turns a data mess into a knowledge foundation useful for search and training.
Become the knowledge-based agentic business that thrives in the age of AI with Maximal Intelligence!
Coordinate Data Management Across Your Organization
miStandards make it possible to coordinate data management across an organization using a shared, enforceable set of conventions.
Don't do anything new! Use standards to do the same thing you already do—naming files—to build searchable databases.
miStandards uses Python functions to standardize naming conventions. Build them collaboratively in the cloud.
Check it out →Unlock Institutional Knowledge for AI
miSearch makes the entire database of collected data in your organization searchable—not just what you remembered to upload.
Don't just upload one file to a RAG engine. Search and access all relevant files across your organization.
Built on a knowledge graph that supports structured queries and AI-powered semantic search.
Check it out →Apply miStandards to Your Folders
The Semantic Data Curation Workflow (SemFlow) is the open-source tool that applies miStandards to your folders automatically.
Define folders as projects, then run SemFlow to build your knowledge graph—no manual data wrangling required.
Check it out →