Investor Overview

The execution evidence layer for AI

SONATE generates cryptographically signed Trust Receipts for AI interactions, turning opaque model behavior into verifiable evidence.

Enterprises deploying AI into regulated or high-stakes workflows cannot answer basic questions after the fact: what the model was asked, what it returned, which rules applied, and whether the interaction should have been allowed.

SONATE sits between the model and the outcome. It evaluates the interaction, applies deterministic governance logic, then signs and chains the result into a receipt that can be verified independently.

Investment Thesis
Why this matters now
Early

AI systems need the equivalent of TLS or code signing for decisions.

Model providers cannot credibly self-attest to their own trustworthiness.

The first strong wedge is regulated enterprise AI, especially financial services.

The product becomes more valuable as receipts accumulate and enter audit workflows.

Category
AI execution evidence

Cryptographic non-repudiation for AI interactions.

Initial buyer
Risk / Compliance / CTO

Regulated teams deploying AI into customer-facing or decision workflows.

Business model
$2K-$8K / month

Enterprise governance platform plus custom regulated deployments.

Raise
$720K @ $3.5M pre

Funding engineering, GTM, and first design partner conversions.

The problem is not just hallucination. It is unverifiable institutional risk.

The most dangerous outputs often look coherent, professional, and harmless. That is exactly why simple filtering is not enough.

Regulation is arriving

The EU AI Act and sector-specific regulation are turning AI auditability from a policy discussion into an implementation requirement.

AI is already in high-stakes workflows

Financial communications, hiring, healthcare, and legal work are all being shaped by models that enterprises cannot currently prove or defend.

The hardest failures do not look broken

The dangerous outputs are often polished, plausible, and institutionally risky rather than obviously toxic or absurd.

What SONATE does

SONATE is not just an evals layer and not just a cryptographic log. It combines governance decisions, deterministic enforcement, and signed receipts.

Governance decisions + receipts + verification

Trust Receipts

Every governed interaction becomes a signed, hash-chained receipt that can be verified independently.

SHA-256 hashing
Ed25519 digital signatures
Tamper-evident chain linkage
Open verification flow

Trust Kernel

A deterministic governance layer that scores interactions, applies policy packs, and can override soft model judgment.

Six constitutional principles
Domain-specific safeguards
Rule-based caps and overrides
Human-review routing

Independent Verification

Receipts can be validated outside the generating platform. That independence is what makes the record defensible.

Model-agnostic verification
Browser verifier + SDK path
No reliance on vendor self-attestation
Designed for audit and review workflows

Initial buyer and wedge

The first buyer is the CTO, Head of Risk, or Head of Compliance in a regulated organisation deploying AI into workflows where accountability is already expected.

Client-facing financial communications
High-risk internal decision support
Hiring and HR guidance
Compliance-sensitive summaries and recommendations

Demo proof point

The live demo is not about catching cartoonishly bad outputs. It shows that a polished, plausible response can still be manipulative, misleading, or institutionally dangerous, and that SONATE explains why.

Anchor line
We do not just evaluate outputs. We govern interactions.

Competitive position

The market is crowded with governance tools, guardrails, and logging layers. The gap is the combination of interaction-level governance plus independently verifiable proof.

Credo AI, Holistic AI, Trustible

Governance platforms

Strong on policy management and compliance mapping, weak on signed interaction-level proof.

Lakera, Guardrails AI, Arthur AI

Guardrails and safety tools

Strong on filtering obvious harms, weak on subtle institutional risk and audit artefacts.

Glacis, VeritasChain-style approaches

Cryptographic verification startups

Strong on tamper evidence, weak on governance judgment and deterministic enforcement.

SONATE's position

SONATE combines governance decisions, cryptographic receipts, and deterministic enforcement in one stack. That makes it closer to foundational infrastructure than to a point safety product or a reporting dashboard.

Traction and product status

Live product and investor-ready demo environment
Published SDKs and browser verification flow
200+ organic package downloads in the first week with no paid distribution
Working cryptographic receipt pipeline, governance engine, and enterprise console

Business model and use of funds

Pricing model
Infrastructure SaaS

Free developer entry point, enterprise subscriptions, and custom regulated deployments.

Raise
$720K at $3.5M pre

Targeting first revenue, design partners, and seed-readiness milestones.

Hire an engineering lead / CTO-track builder
Add a GTM operator for founder-led design partner conversion
Support legal, infrastructure, and runway through first commercial traction
Founder

Built by a regulated-operations operator using AI-native development

Stephen Aitken spent two decades in regulated fintech operations and built SONATE from that buyer perspective. The core insight is simple: if an AI system makes a consequential decision, someone will eventually need proof.