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AI Gets You Close. We Get You There.

AI is powerful — but “probably right” isn’t an outcome. We couple deterministic mathematical solvers with AI to close the gap between prediction and proof.

We Couple AI With Deterministic Solvers

AI is powerful at finding signal. But “95% confident” isn’t a certified outcome. We pair AI systems with deterministic mathematical solvers so every decision is both intelligent and provable.

Your AI Systems

AI Identifies the Signal

  • Pattern recognition & anomaly detection
  • Optimization heuristics
  • Natural language understanding
  • Prediction & classification
QAE Substrate

QAE Certifies the Decision

  • Constraint satisfaction
  • Formal verification
  • Cryptographic proof chains
  • Bit-identical reproducibility
Combined Outcome
AI decisions that are both intelligent and provably correct
Every output is certified or blocked. No grey area. No “probably safe.”
This isn’t AI vs. deterministic — it’s AI plus deterministic. Your AI system handles what it’s great at: finding patterns, making predictions, optimizing decisions. We add the certification layer that locks those decisions into mathematical solvers — so every action is either proven safe or provably blocked before execution.

Evaluate → Decompose → Solve → Ship

A systematic approach to coupling AI with deterministic certification. Four steps from assessment to production.

01
Evaluate
Map your operational landscape. Identify where AI decisions need deterministic guarantees and where new AI deployments could safely drive efficiency.
02
Decompose
Break each decision into its probabilistic and deterministic components. Define the constraint channels, safety thresholds, and certification requirements.
03
Solve
Build the coupled system — AI handles pattern recognition, the deterministic kernel handles certification. Every output is provable.
04
Ship
Deploy to production with cryptographic audit trails, real-time monitoring, and ongoing calibration. Not a report — a running system.

Discovery → Proof of Concept → Production

Three phases. Two productized 2-day entry points. Start small, prove value on real data, then scale.

Phase 1
Discovery
Starts at 2 days

Map your operational landscape — where AI decisions need deterministic guarantees, where new AI deployments could safely drive efficiency.

Start here with a 2-Day Agent Safety Assessment — a focused evaluation that maps your agent’s actions, identifies uncertified state changes, and delivers a safety certification gap analysis.
  • AI risk & opportunity audit
  • Constraint landscape assessment
  • Safety certification roadmap
Book 2-Day Safety Assessment →
Phase 3
Production
Custom scope

Full deployment with cryptographic audit trails, real-time monitoring, and ongoing calibration. Not a handoff — a partnership.

  • Production deployment
  • Cryptographic audit trail
  • Ongoing calibration & optimization
Discuss Engagement →

Where This Applies

The coupled AI + deterministic approach works anywhere decisions need to be both intelligent and provable.

FinanceCertification

Financial Decision Certification

Portfolio risk evaluation, trade pre-certification, and compliance verification. AI identifies opportunity; deterministic solvers certify that every position stays within regulatory and risk constraints before execution.

OperationsAllocation

Autonomous Resource Allocation

Fleet management, infrastructure scaling, and supply chain optimization. AI predicts demand; deterministic solvers guarantee that resource allocation satisfies capacity, safety, and SLA constraints.

AI SafetyGovernance

AI Agent Governance

Pre-execution certification for autonomous agents. Every tool call, API request, and state change is evaluated against scope, reversibility, rate, and data access constraints before execution — not after.

EnterpriseAssurance

Operational Decision Assurance

Manufacturing quality gates, clinical trial protocol adherence, and regulatory reporting. AI accelerates analysis; deterministic solvers ensure every decision meets audit and compliance requirements.

Proof of work, not a pitch deck.

Every assessment produces a structured deliverable with workflow decomposition, ROI modeling, and a prototype scope. Here’s what that looks like in practice.

Your AI Makes Predictions. Let’s Make Them Provable.

Start with a 2-day assessment. See the gap between what your AI predicts and what can be deterministically certified. Then decide how far to go.