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Auditable AI decisions · the guardrail for AI agents

Every number, traced to its page.

SteadRail is the guardrail for AI work where one wrong number is costly. A model reads every page. Code checks every citation and holds the veto on hard rules. People make the final call, with the source page already open.

SteadRail LLC Founded by Blake Janover Built in the U.S. by U.S. citizens In production in our own lending business

The problem

Agents need guardrails.

The Department of War has almost 1.7 million people on GenAI.mil, and they have built more than 100,000 agents.1 Wherever one wrong number is costly, from clearing a supplier’s foreign ownership to financing a defense manufacturer, those agents need guardrails. It’s the same problem across agencies that lend, license or buy, and in banks.

01

Long document packets

Filings, manuals, applications and scans, still read and cross-checked by hand.

02

Sources that disagree

The same company, owner or number written four ways across four documents.

03

No proof of source

Language models read well, but they can’t prove where a number came from. In one published test on company filings, a leading model with retrieval got 81% of questions wrong or declined to answer.2

04

A different answer each run

Even when set to be consistent, a model’s accuracy can swing by up to 15% from one run to the next.3

  1. 1GenAI.mil: almost 1.7M users, 100,000+ agents. CDAO, via Nextgov, Jul 1, 2026
  2. 2Islam et al., FinanceBench, Patronus AI, 2023 (GPT-4 Turbo with retrieval)
  3. 3Atil et al., Non-Determinism of “Deterministic” LLM Settings, 2024

How it works

The model reads. Code verifies. People decide.

  1. Read

    A language model reads every page and returns each figure with its page and the exact words behind it.

  2. Verify

    Code checks the model’s work: the quoted words must be on that page, and the number must be inside them. Then fixed checks run across the documents.

  3. Decide

    Code holds the veto on hard rules. Anything ambiguous goes to a person with the source page open. Nothing gets guessed.

Illustration · one figure, traced Fictitious data · not a deployed configuration
Figure
Largest foreign beneficial owner: Example Holdings Ltd. · 31.4%
Source
disclosure.pdf · page 14
Quote check
Quoted words found on page 14; the number is inside them
Cross-check
Owner listed in 3 of 4 filings, missing from one
Hard rule
In code: foreign voting interest of 25% or more
ExceptionSent to an analyst with page 14 open.

Every job goes to the model that fits it. Frontier or open-weight, swap any model without touching a rule. Every model call is logged and costed, and anything unresolved goes to a person.

Compared with the alternatives

Reads like a model. Holds like code.

ApproachReads messy documentsProves each numberSame answer every time
Manual reviewYes, slowlySometimesNo
Rules-only softwareNoYesYes
Chat assistants and agentsYesNoNo
SteadRailYesYesYes, for every rule in code

Manual review is careful but slow. Rules-only software is consistent but breaks on messy documents. Chat assistants read anything but can’t prove an answer. SteadRail gives each part the job it does best: models read, code verifies, and every answer is cited. It runs in production today in our own commercial lending business.

In production, and what it can be set up for

One harness. Your documents, your rules.

In production

Commercial lending

Our own lending business. Borrower packages are read and cross-checked, and lenders are matched to each deal, with every figure tied to its page.

Can be set up

Supplier and foreign-ownership vetting

Ownership filings and registries checked against your foreign ownership, control and influence thresholds. An owner listed in one filing and missing from another gets flagged.

Can be set up

Defense-industrial and federal credit

Applications, tax returns, financials and appraisals reconciled and checked against credit and covenant rules.

Can be set up

Sustainment and parts

Technical manuals and maintenance logs matched to National Stock Numbers.

Connections to the systems you already run are scoped and built as part of each project.

Environments

Your environment. The models you already use.

EnvironmentHow it runsStatus
Your cloud accountInstalled in your account, connected to the model endpoints your office has approvedNot yet deployed
Your own serversInstalled on your hardware, with open-weight models such as Llama or MistralNot yet deployed
Disconnected networksSame as your own servers, with no outside callsNot yet deployed
Our cloudOur own commercial lending businessIn production

We have not deployed on a government network yet, and this table will say so until we have. SteadRail does not connect to GenAI.mil; it runs in your environment with the models your office approves. For government work we never host your data. Model calls go straight from your environment to your endpoint, so your data-retention terms carry over. Until the software is inside your boundary, we work only from blank templates and fictitious records.

Business model

Price follows scope. No per-seat fees.

Fixed price, paid by milestone. When it’s done, it’s yours to run. We’re seeking prototype funding to set it up for your mission.

01

Audit

We audit one of your workflows with your team.

02

Scope

The price follows the scope: how many document types, rules and systems we connect.

03

Build

Built at a fixed price, paid by milestone on acceptance.

04

Hand off

Installed in your cloud or on your servers, connected to your models. Yours to run, with no subscription.

Questions contracting officers ask

Straight answers.

How does a program office buy this?

One common path is a prototype agreement under 10 U.S.C. § 4022, reached through a Commercial Solutions Opening or the Tradewinds Solutions Marketplace. If the prototype is awarded competitively and completed successfully, follow-on production can be awarded without further competition (§ 4022(f)). Write to us and we’ll work out the path with your contracting officer.

What does it need from us?

Two things: a model endpoint your office has approved, and access to the documents. Risk is managed in code: any model can be swapped, every output is checked, and people make the final call.

Is there a cost-share requirement?

We expect SteadRail to qualify as a nontraditional defense contractor (10 U.S.C. § 3014). That would let a prototype agreement meet the statute’s cost-sharing condition without a one-third cost share (§ 4022(d)(1)(A)).

Have you sold to the government before?

No. The harness runs in production in our own commercial lending business, and the founder’s companies have built their own software for nearly twenty years. We would rather tell you that here than have you find out on a call.

Do you host our data?

No. SteadRail installs in your cloud account or on your own servers, and model calls go straight from your environment to your endpoint. Until it’s inside your boundary, we work only from blank templates and fictitious records.

Which AI models does it use?

The ones you already use: a frontier model your office has approved, or an open-weight model such as Llama or Mistral on your own hardware. Each job goes to the model that fits it, and swapping a model doesn’t touch a rule. Every call is logged and costed.

Who writes the code?

A small team of U.S. citizens, working in the United States.

Who owns what at the end?

When it’s done, it’s yours to run: a permanent, royalty-free license, plus full rights to the rules and connectors built for you. The core harness stays ours, so we can keep improving it. No subscription.

What does it cost?

The price follows the scope: how many document types, rules and systems we connect. We audit the workflow with you first, then quote a fixed price paid by milestone. No subscription, no per-seat fees.

Legal name
SteadRail LLC, a Delaware limited liability company (formation in progress)
Business size
Small business; expected nontraditional defense contractor
UEI · CAGE
Pending SAM.gov registration
NAICS
541511 Custom Computer Programming Services · 541512 Computer Systems Design Services · 541519 Other Computer Related Services · 541715 Research and Development in the Physical, Engineering, and Life Sciences
Address
335 E Linton Blvd, Suite B14 #2074, Delray Beach, FL 33483
Contact
desk@steadrail.com

Team

Why I’m building this.

I’ve spent my career building companies and sitting on public-company boards, and my companies have built their own software for nearly twenty years. I’ve never sold to the government. I’m starting SteadRail because I love this country, and too much of the work that keeps it safe still comes down to someone reading stacks of paper by hand.

We’re a small American team. Our code is written here, by U.S. citizens. We’re new to federal work and we expect to earn trust one file at a time. If our software can’t show you the page behind an answer, it shouldn’t be making the call.

— Blake Janover, Founder

The team

Blake Janover

Founder

3U.S. public listings as a principal: Janover Inc. (Nasdaq: JNVR) as founder and CEO, Soulpower Acquisition Corp. (NYSE: SOUL) as a founding director, and Deep Fission (Nasdaq: FISN) as a director.

  • Founded Janover Inc., a commercial real estate finance marketplace, and took it public in 2023. Co-architected its 2025 transition to DeFi Development Corp. (Nasdaq: DFDV), where he remains a director.
  • Director, Deep Fission, a nuclear company selected for the U.S. Department of Energy Reactor Pilot Program. Chairs its compensation committee and sits on its audit committee as a designated audit committee financial expert.
  • Founder and CEO, J2 Labs, a permanent-capital holding company.
  • NATSEC Fellow, National War College Alumni Association.
  • Harvard Business School, Owner/President Management Program (OPM 60). Board member, YPO Palm Beach. Lecturer and mentor, Zell Entrepreneurship Program, Reichman University.

Steve Schwartz

Chief Architect

More than twenty years as a developer and entrepreneur, building commercial software on each new generation of technology, and AI since the first ChatGPT release.

  • Chief Product Officer, J2 Labs.
  • SVP of Innovation, Janover Inc. (Nasdaq: JNVR). Reported directly to the CEO and led the company’s technology through its 2023 IPO and after.
  • Built lending software that processed billions of dollars in loan requests, and was a key architect of Janover’s AI-first systems and automations.

Contact

Send us your hardest stack of paper.

Tell us the decision and the documents behind it. Every message goes straight to Blake.

desk@steadrail.com
  • The decision you need to make, and how often it comes up.
  • The documents behind it: what kinds, and roughly how many pages.
  • The rules it has to follow.
Please don’t send CUI or classified information here.