Sonate provides the mathematical proof of alignment required for high-risk AI. Move beyond "black box" logs to verifiable evidence of agent reality and intent.
The foundation of Sonate: A cryptographic trust infrastructure that turns AI ethics into enforceable code
SYMBI is our core innovation: a protocol that generates cryptographic trust receipts for every AI interaction. Think of it as a hash-chained trust ledger - every decision, every data access, every policy enforcement gets an immutable, verifiable record with cryptographic proof.
Unlike traditional audit logs that can be tampered with, SYMBI receipts use SHA-256 hashing anddigital signatures to create mathematically provable trust chains. If anyone tries to alter a record, the hash breaks - making fraud immediately detectable.
π Core Innovation: Cryptographic Trust Receipts
Every AI action generates a tamper-proof receipt with content hash, timestamp, and digital signature. One-click verification proves authenticity.
{
"receiptId": "tr_a7f3c9d2e1b4",
"timestamp": "2024-11-08T18:30:00Z",
"eventType": "ai_generation",
"content": {
"prompt": "Analyze customer data",
"response": "Analysis complete",
"model": "gpt-4"
},
"trustScore": 0.92,
"compliance": {
"consentVerified": true,
"dataMinimization": true,
"auditTrail": true
},
"cryptography": {
"contentHash": "sha256:7f8a9b...",
"signature": "ed25519:9c3d2e...",
"verifiable": true
}
}Hash verified β’ Signature valid β’ Timestamp authentic
SHA-256 hashing makes any alteration immediately detectable. Trust receipts are mathematically immutable.
Anyone can verify a trust receipt in seconds. No technical knowledge required - just paste the receipt ID.
Trust receipts are generated instantly for every AI action. No delays, no batch processing - immediate trust.
Beyond trust receipts: A complete infrastructure for managing, monitoring, and governing AI agents at scale
Autonomous governance engine that monitors all AI agents, detects anomalies, and can ban, restrict, or quarantine agents that violate trust policies.
Full lifecycle management for AI agents with SYMBI Dimensions scoring across 5 behavioral axes and W3C DID identity.
Critical decisions always have a human in the loop. Override any automated action with full audit trail.
Enterprise-grade isolation with per-tenant data, policies, agents, and billing. Scale to thousands of organizations.
Live dashboards with KPIs, alerts, and drill-down into every AI interaction. Prometheus metrics and structured logging.
Continuous learning from governance actions. Track which interventions work and refine policies over time.
Our core IP: A weighted compliance framework that turns AI ethics into measurable, enforceable code
βοΈ Weighted Algorithm: Each principle has a specific compliance weight
Critical violations (Consent, Ethical Override) trigger -0.1 penalties β’ Real-time scoring β’ Automated enforcement
Explicit user consent required before any data processing. No implied consent, no dark patterns. Users must actively opt-in with full understanding.
Regulatory Mapping:
Complete transparency into AI decision-making. Users can inspect how decisions were made, what data was used, and why specific outputs were generated.
Regulatory Mapping:
Ongoing monitoring and validation of AI behavior. Not just one-time testing - continuous verification that AI systems remain compliant and trustworthy.
Regulatory Mapping:
Human oversight with veto power. AI recommendations can always be overridden by humans when ethical concerns arise. Humans remain in control.
Regulatory Mapping:
Users can opt-out at any time. No lock-in, no penalties for leaving. Data portability and clean exit paths are guaranteed.
Regulatory Mapping:
AI systems acknowledge their limitations and potential for harm. No false confidence, no hidden biases. Transparent about what they can and cannot do.
Regulatory Mapping:
trustScore = (
(consent * 0.25) + // 25% - CRITICAL
(inspection * 0.20) + // 20% - HIGH
(validation * 0.20) + // 20% - HIGH
(override * 0.15) + // 15% - CRITICAL
(disconnect * 0.10) + // 10% - MEDIUM
(recognition * 0.10) // 10% - MEDIUM
)
// Critical violation penalties
if (!consent || !override) {
trustScore -= 0.1 // -10% penalty
}
// Final score: 0.0 to 1.0 (0% to 100%)Excellent Compliance
All principles met
Good Compliance
Minor improvements needed
Needs Attention
Critical violations present
See the 6 principles in action with real-time compliance scoring
Try Interactive Demo βBeyond compliance scoring - autonomous oversight, agent enforcement, and human-in-the-loop controls for regulated industries
Autonomous AI Oversight
Our System Brain continuously monitors your AI agents, making real-time governance decisions. In advisory mode, it recommends actions. In enforced mode, it acts autonomously.
Enforcement & Lifecycle Management
Full control over your AI agents with enterprise-grade enforcement capabilities. Ban, restrict, or quarantine agents that drift from alignment.
Human-in-the-Loop Governance
For regulated industries that require human review, our override system provides queued approvals, decision history, and complete audit trails.
Enterprise-Grade Monitoring
Real-time visibility into your AI governance with Prometheus-compatible metrics and comprehensive dashboards for enterprise operations.
Complete tenant isolation with scoped data access. Each organization operates in its own secure environment with per-tenant configuration and management dashboards.
Understanding the relationship between SYMBI Trust Protocol, Sonate Platform, and Constitutional Governance
Production-grade trust layer. Ed25519 cryptographic signing, hash-chained receipts, 6-principle constitutional framework.
Commercial SaaS product. Enterprise AI trust infrastructure built on SYMBI Trust Protocol.
Trust Kernel + Overseer. Autonomous governance with explicit authority, auditable enforcement, and human override.
Constitutional governance: Trust in AI systems must be engineered, not crowdsourced. Authority is explicit, actions are constrained, and outcomes are auditable.
Enterprise AI trust infrastructure built on W3C-compliant protocol
Cryptographic audit trails, fairness-aware QA (AI vs human), and vendor-agnostic guardrails across all AI-powered business operations. Built on SYMBI Trust Protocol foundation.
{
"receipt_id": "rcpt_2024_0907_15h23m_a7f8b2",
"timestamp": "2024-09-07T15:23:41.892Z",
"user_query": "Analyze this customer complaint for sentiment",
"agents_considered": [
{
"provider": "openai",
"model": "gpt-4o",
"trust_score": 0.94,
"capability_match": 0.87
},
{
"provider": "anthropic",
"model": "claude-3-5-sonnet",
"trust_score": 0.91,
"capability_match": 0.92
}
],
"chosen_agent": {
"provider": "anthropic",
"model": "claude-3-5-sonnet",
"rationale": "Higher capability match for sentiment analysis + compliance requirement met"
},
"guardrails_applied": [
"pii_detection",
"sentiment_threshold_check",
"escalation_policy_soc2"
],
"outcome": "completed",
"human_involvement": false,
"audit_hash": "sha256:7f9a2b8c3d4e5f6g7h8i9j0k1l2m3n4o",
"verified": true
}Every AI interaction generates an immutable receipt showing decision reasoning and audit trail
$62B TAM in AI trust & compliance infrastructure, driven by regulatory mandates and enterprise adoption
EU AI Act enforcement, SEC disclosure requirements, and high-profile AI incidents creating immediate demand
Comprehensive test suite, production-ready platform, live demo with cryptographic verification
Append-only, hash-chained ledger with one-click integrity verify and orchestration receipts (who/what/why).
Separate KPIs for AI-only vs AIβHuman flows; normalize by complexity mix so humans aren't penalized for complex cases requiring expertise.
Thresholds that trigger apology/continuity, escalation, or human approvalβacross OpenAI, Anthropic, and more.
Capture each turn (prompt/response, model, config) into a tamper-evident ledger.
Compute dual-track KPIs (AI-only vs Human-involved), Learning Opportunity Index, Fairness Index across all business processes.
Enforce trust thresholds and approvals; write receipts explaining decisions.
Add Context Capsules (goals, tone, constraints) to improve outcomes after trust is proven.
Board-ready reports, immutable audit trails, approvals, attribution (AI vs human) for any AI-powered business process.
Multi-model adapters, decision receipts, Grafana/Loki dashboards, VS Code extension for enterprise AI operations.
Test hash-chain integrity
No vendor keys on client. All provider keys server-side.
Full technical documentation
Start a 60-day Trust-First pilot with your existing AI-powered business processes.
Book a 30-min scoping call βA story of human-AI collaboration: 18,000+ lines of code, 7 months, 1 founder, 5 AI co-contributors
Sonate wasn't just built for AI trust - it was built with AI trust. Every line of code, every architectural decision, every trust principle was developed through collaboration between human oversight and multiple AI systems.
This isn't theoretical. We used the exact framework we're selling: sovereign AI agents working under human governance, with cryptographic audit trails for every decision, and continuous validation of outputs.
The Result: A Living Proof of Concept
If multiple AI systems can collaborate to build a 18K+ LOC enterprise platform with comprehensive test coverage and zero critical bugs - all under human oversight - then the SYMBI thesis isn't just theory. It's proven.
Lines of Code
Production TypeScript, React, Node.js
Months
From concept to production deployment
Team
1 human founder + 5 AI co-contributors
Test Files
Unit, integration, and E2E tests
Founder defined the core thesis: AI systems need cryptographic trust infrastructure. Designed the 6 trust principles based on regulatory requirements and ethical frameworks.
Human Decisions:
Multiple AI systems (Claude, GPT-4, Grok, specialized models) implemented the architecture. Each AI brought different strengths: code generation, testing, documentation, optimization.
AI Contributions:
Different AI systems reviewed each other's work. Grok caught hallucinations in Claude's output. Claude verified Grok's architectural decisions. Human founder arbitrated conflicts.
Validation Process:
Deployed to production with comprehensive monitoring. Every API call generates a trust receipt. Real-time compliance scoring validates the system works as designed.
Production Features:
Experience the platform built through human-AI collaboration
Comprehensive testing across 90+ test files. Every critical path verified through unit, integration, and end-to-end testing.
Built by a solo founder with no development background in 7 months. Demonstrates exceptional technical capability and comprehensive understanding of enterprise AI trust requirements.
Ed25519 signatures, hash-chain verification, immutable audit trails
OpenAI, Anthropic, Perplexity with unified API and policy enforcement
Fairness-aware QA, behavioral analysis, change-point detection, trust scoring
Context orchestration, goals/tone/constraints, CX optimization after trust is proven
See the platform in action. Complete with Sonate Ledger verification, Sonate Guardrails, and enterprise-grade orchestration.
Professional deployment showcasing enterprise capabilities, security implementation, and technical sophistication.
Launch Demo βFrom zero development experience to enterprise-grade platform in 7 months. Demonstrates exceptional execution capability and market insight.
βI put my life on hold for 7 months to build this. Starting with no development background, I taught myself everything needed to create enterprise-grade AI trust infrastructure. The result is a production-ready platform that solves real problems in the rapidly expanding AI trust and compliance market.β
Stephen β Founder, Sonate
YSEEKU implements a constitutional governance model β not consensus voting or token-based DAOs. The Trust Kernel defines non-negotiable rules for identity, authority, and refusal. The Overseer system agent continuously monitors trust health and can take action (in enforced mode) or recommend action (in advisory mode). All governance happens inside the system with full auditability. Learn more β
Always. Human authority is preserved by design. Humans define governance parameters, approve or revoke enforcement authority, and can review, override, or halt any action at any time. All overrides are logged and auditable. SYMBI and Overseer structure and protect human judgment β they don't replace it.
Sonate integrates with OpenAI (GPT-4, GPT-3.5), Anthropic (Claude 3.5 Sonnet, Claude 3 Opus),Together AI (open source models), Cohere, and Perplexity. Users bring their own API keys, and the platform routes requests while applying trust scoring across all providers.
The EU AI Act requires transparency, auditability, and human oversight for high-risk AI systems. Sonate provides cryptographic audit trails (tamper-evident ledger), verifiable credentials for AI agent capabilities, privacy-preserving revocation (Status List 2021), and complete attribution (AI vs human decisions). All logged immutably with W3C-compliant infrastructure that regulators can independently verify.
Both. The SYMBI Trust Protocol (6-principle framework, trust scoring, receipt generation) provides transparent governance infrastructure. Sonate Platform (enterprise features like System Brain, Agent Control, Ledger, Guardrails) is proprietary SaaS. This model ensures trust infrastructure transparency while providing commercial enterprise-grade tooling and support.
Sonate represents a compelling opportunity in the AI trust and compliance infrastructure market. Let's discuss how we can scale this technology across enterprise AI operations.
Constitutional Governance: YSEEKU implements trust through explicit authority, enforceable constraints, and auditable outcomes. All AI actions are attributable, all enforcement is logged, and human override is always available. Trust is engineered, not crowdsourced.