The Deterministic
Proof Layer for AI.
We replace probabilistic trust with cryptographic proof for every autonomous decision.
Making AI Agents Insurable.
Agents are moving money,
but LLMs are probabilistic.
We are crossing the threshold from "Chat" to "Action". AI agents are now authorized to execute trades and move capital.
The Gap: You cannot "prompt engineer" your way to OFAC compliance. Probabilistic models cannot guarantee the deterministic safety required by regulators.
The "Black Box" Era is Over.
Insurers demand proof.
EU AI Act and US Executive Orders now require "explicability" and "traceability" for high-risk AI systems in finance.
Banks cannot deploy autonomous agents without liability insurance. Insurers cannot underwrite agents without deterministic proof of controls.
"You don't solve hallucination by improving AI — you solve it by removing AI from the authorization path."
Probabilistic Intent vs. Deterministic Control
"I think this transaction is safe."
"Policy #8291 verified. Proof generated."
Cryptographic Proof as a Service.
- 1
Deterministic Policy Engine
Hard-coded logic gates that sit outside the LLM context window.
- 2
Cryptographic Artifacts
Every decision generates a signed JSON proof (The 'Permit').
- 3
Immutable Audit Log
A tamper-proof chain of custody for every autonomous action.
Starting with OFAC Compliance.
Integrate
Fintechs add BinaryIF SDK to their agent's tool definition.
Intercept
We intercept every 'send_money' tool call before execution.
Verify
We check the destination wallet against real-time OFAC sanctions lists.
Verifiable Authorization Compliance.
A new category at the intersection of IAM ($43B, Projected 2030) and RegTech ($71B, Projected 2030).
This is the compliance-grade subset — the first market where proof is mandatory, not optional.
Unlocks the AI Liability Insurance market.
Authorization is solved. Proof is not.
BinaryIF solves proof.
Adjacent Categories
IAM / Authorization
Okta, Auth0Why they stop short: Decisions are asserted and logged, not emitted as portable proof artifacts.
Policy Engines
OPA, ZanzibarWhy they stop short: Explanations and traces ≠ cryptographic proof of decision correctness.
SIEM / Audit
Splunk, DatadogWhy they stop short: Logs are evidence after the fact, not decision proofs replayable years later.
BinaryIF
Proof of authorization.
- →Cryptographically signed decision artifacts
- →Policy + evidence commitments
- →Replayable, independently verifiable
Embedded in LangChain/AutoGPT layers.
Defining the JSON schema for insurers.
Agents demand proof from counterparties.
Proprietary, pre-verified logic gates.
Where BinaryIF sits.
We sit inline at the moment of irreversible action, producing cryptographic proof that the action was correctly allowed or withheld.
Usage-based pricing for the agent economy.
Up to 1,000 proofs / mo
- • Standard Policies
- • 7-day retention
- • Community Support
per proof generated
- • Custom Policies
- • 1-year retention
- • Slack Support
- • Insurance Artifacts
Volume discounts
- • On-premise deployment
- • 7-year retention
- • Dedicated Solutions Eng
Built by experts in
Cryptography & Fintech.
Jane Doe
CEO & CO-FOUNDER
Ex-Coinbase Product Lead. Scaled identity systems to 50M+ users.
John Smith
CTO & CO-FOUNDER
Ex-Palantir Forward Deployed Engineer. Specialist in zero-knowledge proofs.
Ada Lovelace
HEAD OF RESEARCH
PhD in Formal Verification from MIT. Author of "Deterministic AI Control".
$5,000,000
Seed Round. To become the standard for agentic authorization.
Engineering ($2.5M)
Scale decentralized proof network. Hire 5 senior protocol engineers.
Policy Library ($1.25M)
Expand to 50+ global compliance policies (GDPR, HIPAA, Basel III).
GTM ($1.25M)
Establish US & EU sales presence. Secure 20 enterprise pilots.
We are building plugins for LangChain and AutoGPT to make integration a single line of code.
Incumbents like Okta are focused on human identity. We are 100% focused on machine-to-machine authorization.
We are not waiting for regulation. We are selling 'Compliance Insurance' which is a hair-on-fire problem today.
What BinaryIF Is Not.
We don't just filter prompts. We enforce logic on the *actions* agents take.
We don't verify humans. We verify that an agent's transaction complies with policy.
We are chain-agnostic and rail-agnostic. We secure the *decision*, not just the asset.
Our goal is to remove the human from the loop safely, not keep them there.
The future of AI is autonomous.
Autonomy requires insurable proof.
We are building the immutable trust layer that allows banks, insurers, and regulators to say "Yes" to AI agents.