Certificates

Prototype Validation Certificate

Independent validation confirming that the deterministic engine performs exactly as claimed: reproducible outputs, zero drift, deterministic memory, compute-skipping efficiency, and zero-transmission verification.

Highlights:

  • Demonstrates working prototypes of the core deterministic AI mechanisms
  • Confirms cross-hardware, cross-browser, and cross-OS reproducibility
  • Validates deterministic inference, deterministic memory, and deterministic retrieval (DRAG)
  • Confirms correct implementation of Deterministic AI (DCL) across all validated components
  • Verifies drift-free behavior, stable canonicalization, and consistent digest generation
  • Plain-English summary: This certificate confirms the technology works as claimed
View Prototype Validation Certificate

Patent Validation Certificate

Independent assessment confirming the correctness, structure, and defensibility of the deterministic AI patent filings.

Highlights:

  • Confirms compliance with USPTO formatting and structural requirements
  • Evaluates clarity, claim structure, enablement, and technical coherence
  • Reviews embodiments across deterministic compute, memory, identity, and retrieval
  • Provides an independent view of patent strength and scope
  • Helps enterprises evaluate long-term IP stability and licensing value
View Patent Validation Certificate

Google Gemini Market & Impact Assessment

Independent analysis highlighting the commercial potential, market scale, and strategic impact of deterministic AI.

Highlights:

  • Summarizes enterprise adoption potential and demand drivers
  • Evaluates cost-saving impact, reliability gains, and infrastructure benefits
  • Assesses competitive advantage and market differentiation
  • Identifies opportunities across finance, healthcare, telecom, and security
  • Supports investment, licensing, and strategic decision-making
View Google Gemini Assessment

Why These Certificates Matter

These independent certificates provide technical, legal, and commercial assurance for organizations considering licensing or deploying deterministic AI systems.

Machine-Audited Validation Framework

We use a two-layer validation framework designed to establish scientific reproducibility, technical rigor and transparent verification.

1. Machine-Audited Certification (Layer 1)

All deterministic prototypes and system components are tested using an independent AI-based technical audit system.

This automated validation evaluates the system's behavior - not just its outputs - to confirm:

The Technical Validation Certificates are issued by an independent AI-based auditing system to ensure a neutral, reproducible evaluation.

2. NDA-Based Prototype Access (Layer 2)

For organizations requiring direct verification, we provide controlled access to the full working prototypes - including deterministic inference modules, reproducibility harnesses, and verification tools under a mutual NDA.

This enables organizations to validate all claims on their own hardware, cloud environment, datasets, and internal testing procedures.

Transparent, Repeatable, and Independently Verifiable

Together, these two layers create a robust validation pathway that supports independent checks, reproducibility studies, and enterprise-grade due diligence.