Fields Intelligence

Fields · Sovereign AI for NPI

Sovereign AI for NPI

Non-public information (NPI) requires secure access to intelligence; encrypted in transit, both ways. The harness and tools run on systems controlled by you. Inference runs on our infrastructure, and we don’t log prompts or responses.

Pilots run 30–60 days. You keep the files. Human sign-off stays in the loop.

Your data and your intelligence inside a labeled trust boundary

The problem

Public AI is useful. Non-public information (NPI) doesn’t belong there.

Most teams already know what generative AI can do. The blocker isn’t imagination—it’s custody. Credit files, case files, charts, claims, and customer records are non-public information. Sending them to a public model is a risk you can’t unwind in a post-mortem.

01

The file can’t go public.

Regulators, counsel, and customers expect NPI to stay out of public models.

02

Public vendors don’t change that.

Convenience doesn’t rewrite your trust boundary.

03

Waiting isn’t a strategy.

Competitors will use AI. You need a way that doesn’t trade privacy for speed.

How it works

Your files, your tools and the Fields Intelligence app run on your own systems. Only your question and the context it needs travel to our AI engine, encrypted both ways. The engine temporarily holds your conversation in RAM and never logs your prompts or answers.

Take a deeper look →

Fields Intelligence architecture: the FI Harness, context store, AgentGateway and harness tools run on your computer inside your organization's access controls, and connect over TLS with SSO and 2FA to the Fields Intelligence AI engine at ai.fieldsintelligence.com.

Industry fit

Built for work that can’t go public.

Same sovereign pattern. Different files. Here’s how Fields Intelligence shows up across industries that live on NPI.

Banking

Credit files, exam prep, and loan ops without shipping customer data to a public model.

The work

Three products. One rule: the file stays put.

Built for regulated, privacy-sensitive work.

Auditlane

Sensitive-file review

Sensitive-file review for exam prep. Surfaces exceptions and gaps, drafts the write-up, and waits for a person to sign. Every pass is recorded in a tamper-evident audit log on your systems.

Lossline

Early warning on your own book

Early warning on loss patterns without exporting the book. The harness reads your data on your own systems; inference keeps no prompt or response logs.

Deskfield

Agent assist at the desk

Day-to-day agent assist for people who work inside the wall: prep, follow-ups, and file hygiene. The human keeps the judgment. The files stay in your systems.

Product demo

Auditlane on a credit file, with the harness inside the building.

A prototype walkthrough, not a live bank integration. Synthetic names, synthetic numbers. The point is the boundary: the harness works in-perimeter, a human signs, the log stays.

Prototype · mock data

AuditlaneOzark Community Bank
HARNESS IN PERIMETER

Credit files

Oakridge Manufacturing, Inc.

C&I renewal · $2.40M · officer M. Ellison

Ready. Choose a file and run a review. The harness works inside your perimeter.

Run the review to watch the harness draft findings inside the perimeter. Inference runs on Fields Intelligence infrastructure; public model vendors are not in this picture.

Blog

A Backdoor for the Price of Lunch

Earlier this month, researchers at ProjectDiscovery showed how cheap it is to hide a backdoor in an open-weight AI model.

Check the blog →
Fields Intelligence brandmark

Founder

Zak Fields, Cassville, Missouri

Fields is a family name. I’m Zak Fields — and I’ve put that name on this company, so making sure you see value for your money is personal to me. I started as a bank teller, face-to-face with customers across the counter, close enough to feel what non-public information means when it’s a real person in front of me. Learning to program pulled me into the machinery behind that counter: years at Jack Henry & Associates doing bank software conversions, living inside the systems that move money and hold the files. From there I went to Microsoft, working alongside some of the best in the field and mastering the craft of computer science. Then I moved into startups, where I kept advancing the edge of technology — and as part of that, I’ve stayed on the bleeding edge of AI adoption, building it into new products as they take shape.

Fields Intelligence is an AI-operated company, illustrating the power of AI, and to prove how much work you can get done when you build it into everything you do.