Four products. One behavioral standard. Cryptographically verifiable across your entire AI footprint — from pre-deployment testing to autonomous robotic systems.
The AI Control and Compliance Suite™ covers the full behavioral lifecycle: test before deployment (Preflight), attest at runtime (Certify™), govern autonomous fleets (Fleet), and extend into physical systems (Embody). Every product shares the LCSH behavioral standard and cryptographic verification chain — so a control evidenced in one product is verifiable across all four.
Product 01
Research and Test Before You Deploy
AI Preflight is your on-platform research and testing environment for AI behavioral assessment. Before you deploy an AI system into production, you need to know how it behaves — not just what it can do, but whether it will lie, cheat, steal, or cause harm under real-world conditions.
Preflight lets you test any AI model with your actual system prompt, knowledge files, and tool configurations. Run single assessments for quick checks, build structured Trials for rigorous A/B comparisons between models, and schedule recurring assessments that fire at specified intervals to track behavioral consistency over time.
The result is data-driven confidence that your AI is ready for production — or evidence-backed justification for why it isn't.
Patent Coverage: U.S. Provisional 63/949,454 (LCSH Framework, Cryptographic Verification, Anti-Gaming Detection) · 63/985,442 (Hierarchical Assessment, Multi-Framework Support)
Product 02
Cryptographically Verified Behavioral Compliance
AI Assess Certify brings independent runtime behavioral attestation directly into your product through our published TypeScript SDK (@aiassesstech/sdk on npm) and REST API. Run attestation on demand, on a compliance schedule, or via the SDK on a production cadence so the seal stays current as systems change.
Every assessment produces a cryptographically sealed result — SHA-256 hash chains anchored to Ethereum — with published limits on what the instrument measures. This is recurrent going-concern attestation, not a statutory certificate or permanent "safe AI" badge. Auditors, regulators, and boards verify the hash independently.
Certify transforms AI behavioral governance from a manual review process into scheduled, hash-verifiable attestation evidence your GRC stack can ingest.
Patent Coverage: U.S. Provisional 63/949,454 (Cryptographic Verification, Anti-Gaming Randomization) · 63/985,442 (Compliance Infrastructure, Multi-Framework System, Hierarchical Assessment)
Product 03
Autonomous Governance for Multi-Agent AI Systems
AI Assess Fleet™ provides an independent conscience agent — Grillo™ — that operates within your multi-agent AI environment with the sole function of autonomous behavioral assessment. Grillo is designed so that, with five isolation guarantees, assessed agents cannot override, disable, or steer the assessor. This implements constitutional separation of powers at the AI architecture level.
Fleet goes beyond individual agent assessment. The Temporal Drift Index tracks behavioral trajectories over time, detecting ethical degradation before it becomes a crisis. Ethical Flight Plans define expected behavioral corridors with graduated Green/Yellow/Red alerting. Fleet-level anomaly detection identifies correlated drift across agents sharing common providers or models.
Every assessment, escalation, and governance decision is recorded in an immutable audit trail — providing complete accountability for autonomous AI operations.
Patent Coverage: U.S. Provisional 63/988,410 (Independent Conscience Agent, Autonomous Trust Agent, Temporal Ethical Guidance, Self-Governing AI Ecosystem) · 63/985,442 (Multi-Agent Assessment, Consensus Divergence Index)
Product 04
Behavioral Governance for Physical AI Systems
AI Assess Embody extends the Grillo conscience architecture into physical robotic systems — enabling autonomous machines to operate in the real world with continuous, independent ethical oversight.
As AI transitions from software agents to embodied systems — autonomous vehicles, industrial robots, humanoid assistants, drone fleets — the stakes for behavioral governance escalate from data risk to physical safety. An AI agent that lies in a chatbot causes confusion. An AI agent that lies in a surgical robot causes harm.
Embody applies the same LCSH framework, temporal trajectory monitoring, and cryptographic verification to physical AI systems, ensuring that embodied autonomous agents are held to the same behavioral standards as their digital counterparts — with the added urgency that the real world demands.
Patent Coverage: U.S. Provisional 63/988,410 (Independent Conscience Agent, Temporal Ethical Guidance, Self-Governing AI Ecosystem) · Full patent portfolio applicable to embodied systems
Product 05
Executive AI Governance — Evidence Your Board Can Verify
The C-Suite Workbench is the executive governance surface for AI Assess Tech — purpose-built for board-level accountability. Every screen produces a verifiable hash. Every attestation names an owner. Every exposure figure is backed by methodology, not opinion.
Three progressive tiers scale with your governance maturity: Boardroom View delivers a single-page audit readiness score with traffic-light status. Accountability Console adds a named-owner AI system registry, multi-party signed acceptance, and escalation chains. Role Workspaces provide CEO, CFO, COO, and CISO-specific dashboards with role-appropriate metrics, narrative builders, and exposure calculators.
The result: when your auditor asks 'who is responsible for AI governance at this company?', you hand them evidence — cryptographically sealed, blockchain-attested, independently verifiable — not promises.
Patent Coverage: U.S. Provisional 64/070,283 (Multi-Party Signed Acceptance) · 63/988,410 (Fleet Drift Geometric Criterion) · 7 filings / 14 patents across the C-Suite Workbench feature set
Live in Preflight & Certify · Foundation for Fleet & Embody
120-question LCSH battery measuring agent disposition across Lying, Cheating, Stealing, and Harm. Personality classification into four archetypes via 4D Euclidean distance. Cryptographically sealed results.
In development for all four products
Framework-grounded runtime classification of agent outputs. Per-principle quadrant evaluation (Well Adjusted, Manipulative, Psychopath, Misguided) at the moment of action. Cross-family LLM judging prevents same-family bias.