The Only AI Platform That Mathematically Proves Every Answer Is Correct
AMX is a symbolic verification engine that independently re-derives AI answers from source evidence. When natural language understanding is needed, our LLM Bridge connects to external models (GPT-4, Claude, Llama, or your own) — and AMX verifies every output. Every verified decision comes with an XFPC Proof Certificate that regulators can replay and auditors can verify.
99% accuracy sounds impressive — until you process 10,000 decisions per day and get 100 wrong.
Every wrong answer is a compliance violation, a financial loss, or a reputational risk. And in multi-stage AI pipelines, errors compound: a 1% error rate at each of five stages means nearly 5% of outputs are unreliable.
The regulatory landscape is closing in. The EU AI Act requires explainable, auditable AI for high-risk applications. MAS demands model risk management for financial AI. SEC and OCC expect verifiable decision trails. Over 40 jurisdictions worldwide are implementing AI governance frameworks.
The fundamental problem: current AI cannot prove it is right. It can only estimate probability. Enterprises face mounting liability, regulatory fines, and reputational damage from AI decisions they cannot explain or defend.
$200B
Enterprise AI spend — only 30-40% of value realized
$78B
Annual cost of broken AI trust in financial services alone
95.1%
Effective accuracy of a 99%-accurate 5-stage AI pipeline
AMX is a symbolic verification engine — not an LLM, not a wrapper, not a guardrail. We do not replace your AI — we make it trustworthy.
Two independent computational paths: Your AI generates an answer. AMX independently re-derives that answer from source evidence through a completely separate path using deterministic logic. If both paths agree, an XFPC Proof Certificate is issued. If they disagree, the error is caught before it reaches production.
The verification engine contains zero neural components. It cannot hallucinate. It cannot be confidently wrong. Same input always produces the same output and the same proof. 10ms fast-path verification for known patterns; 500ms for full derivation. Energy consumption: 0.001-0.01 Wh per verification vs. 0.3-1.0 Wh per LLM query — 1000x more efficient.
Think of AMX as “Intel Inside” for AI. We do not compete with LLMs — we make every LLM trustworthy. Our LLM Bridge connects to GPT-4, Claude, Llama, Mistral, or any future model, and AMX verifies every output.
1000x
More energy efficient than neural approaches
CPU Only
No GPU required — runs on commodity hardware
$0.10
Per verification
8x
Cost reduction vs. human review
180x
Faster than manual compliance
Zero
Wrong answers — structural guarantee, not statistical claim
"Can you prove this AI decision is correct?"
Proof certificates provide cryptographic evidence of correctness for every AI decision. Every verification is independently replayable — your security team can audit any decision on their own hardware, at any time.
"What's our liability if AI gets it wrong?"
Verified AI with proof certificates reduces exposure from AI errors. At $0.10 per verification and 8x cost reduction compared to human review, verified AI is not just safer — it is dramatically cheaper.
"Will we pass the EU AI Act audit?"
Machine-verifiable compliance trails that regulators accept. Proof certificates satisfy the explainability and auditability requirements of the EU AI Act, MAS guidelines, and SEC/OCC expectations.
"How do we add verification at scale without slowing our pipelines?"
Sidecar deployment requires zero changes to your AI systems. 10ms fast-path verification adds negligible latency. CPU-only means no GPU procurement battles. AMX runs on the 15 billion CPU-bearing devices already deployed worldwide — from cloud servers to edge laptops.
1
Your existing AI generates an answer. LLM Bridge connects to any model — GPT-4, Claude, Llama, Mistral, or your own. No changes to your AI system required.
2
AMX's symbolic reasoning engine independently re-derives the answer from source evidence through deterministic logic. No neural components. No hallucination possible.
3
If both paths agree, a machine-verifiable XFPC Proof Certificate is issued. If they disagree, the error is caught before it reaches production.
LLMs have knowledge cutoffs — they cannot know what happened after their training data ends. Fine-tuning is expensive, slow, and introduces new failure modes. Your business knowledge changes daily. Regulations update quarterly. Markets shift hourly.
AMX Knowledge Capsules are hot-swappable. When a regulation changes, update the capsule. When a new product launches, add its specifications. When a market shifts, adjust the business rules. The verification engine picks up the new knowledge immediately — no retraining, no redeployment, no downtime. Living knowledge that evolves with your business, not frozen snapshots that fall behind.
Deploy on AWS, Azure, or GCP. Fully managed with automatic scaling.
Complete control. Runs on your infrastructure, your rules. Zero data egress.
Cloud scalability with on-premise data sovereignty. Best of both worlds.
CPU-only on commodity hardware. Air-gapped capable for classified and sovereign deployments.
Your data never leaves your infrastructure. AMX works in any cloud — or no cloud at all. Purpose-built for air-gapped environments where data sovereignty is non-negotiable. Today, 92% of Southeast Asian government cloud infrastructure runs on US hyperscalers — AMX enables true sovereign AI on local infrastructure, deployable on any of the 15 billion CPU-bearing devices worldwide.
Stop hoping your AI is right. Start proving it. AMX turns every AI decision into a verified, auditable, defensible fact.