Local & private first
AI should run on your computer, not a corporate cloud. Your data, prompts, and models stay on the machine under your desk.
About
Orionfold
I fold the frontier down to one desk.
Orionfold is an AI studio that brings enterprise-grade AI to individual builders and small teams — open software, custom models, and practical playbooks, all designed to run locally and privately on personal machines.
This site
ainative.business
Free and open source
The knowledge surface of the Orionfold studio — the AI Native Business book, the field notes, and the artifacts you can run.
Orionfold about ↗What the studio believes
Efficiency over scale
One skilled person with the right AI tools can do what used to take a team. The studio is built around that leverage.
Open over proprietary
Open-source software and openly published models, not locked systems — so what you build keeps working on your terms.
What Orionfold builds
The studio ships three things that fit together: open AI software you can read and run, custom and fine-tuned models sized for hardware you actually own, and educational playbooks — books and field notes — that explain how to put it to work. The throughline is a philosophical shift: powerful AI should be private, affordable, and under your control, not dependent on expensive corporate clouds.
Where ainative.business fits
This site is the knowledge surface of the studio. The AI Native Business book is a 14-chapter playbook for building autonomous business systems with AI agents; the field notes document the research as it happens; and the artifacts — models, quants, benches, and the Arena cockpit — are what you can download and run on your own machine.
Founder
Orionfold was founded by Manav Sehgal. His 25-year arc spans Xerox PARC (1996), HCL's digital practice, Daily Mail, Amazon AGI, and AWS, where he delivered scale AI programs for Amazon Retail and Alexa and led an AWS pandemic response honored by a President of India award for the customer. He holds credentials from Harvard, MIT Sloan, and Berkeley Haas, and has studied Computer Engineering and Lean Management.
Credentials
Harvard
Disruptive Strategy
MIT Sloan
Design Thinking
Berkeley Haas
Leading Innovative Change
Previously published
- Data Science Solutions (2017)
- React Speed Coding (2015)
Read more from Orionfold
The studio writes in public — building in public, why most teams get nothing from AI, and the story behind folding the frontier down to one desk.
Links
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