The substrate for provably safe AI-driven mission critical workloads and applications for business, enterprise and hyperscalers.
250 malicious documents can permanently backdoor any LLM — regardless of model size (Anthropic + UK AISI, 2025). Over 60% of LLM training data comes from unverified open web crawls. Poisoning now reaches every stage of the AI lifecycle: pre-training, fine-tuning, RAG, and agent tooling.
Gartner named digital provenance a Top 10 Strategic Technology Trend for 2026. Organizations without provenance investment face sanction risks in the billions by 2029. EU AI Act Article 50, effective August 2026, mandates machine-readable provenance. No current architecture provides per-datum provable provenance.
Floating-point arithmetic is not bitwise reproducible — even at temperature=0, GPU-level non-determinism produces different outputs from the same input. At AGI scale, accumulated error makes versioning economically and practically unfeasible. Axiom Vertex is engineered for bitwise-reproducible outputs — the same input returns the same result today and years from now, without the drift that floating-point pipelines accumulate at scale.
Next generation quantum-safe cloud architecture for autonomous AI execution layer workloads and mission critical applications.
Every data type validated at ingestion. Adversarial content, corrupted data, and synthetic fill caught and rejected at the boundary — before they can reach your AI models or training pipelines.
Every datum identity sealed with a mathematical integrity proof on a tamper-evident ledger. Same inputs return the same validated data today, next year, and a decade from now. No drift for validated datum coordinates.
Safe hyperscalable data streaming and workflows with deterministic output assurance. Same inputs always produce the same accurate outputs — eliminating erratic behavior. Critical for Autonomous AI at scale.
The Axiom Vertex QI Cloud is where your Virtual Organization, all platform services, and every validated datum identity reside. Configure your validation pipeline, deploy AI workloads, manage digi-spatial assets, and access provenance records — all within a single governed environment.
A Virtual Organization is your gateway to all Axiom Vertex platform services. Every interaction — data ingestion, data validation, AI training, edge node fleet deployment, digi-spatial asset creation & management, provenance sealing — flows through your VO. It is where you configure services, manage validated data, and access the full QI Cloud native environment.
Click any spoke to explore its 360° view
Atlas performs spatial reasoning over your validated data and returns results with mathematical proof — invalid data is rejected at the boundary. After an initial setup phase, the system runs as a self-contained engine with no ongoing external AI-model dependency — fully deterministic in production.
Cortex validates data pertaining to sensor state, metering, function, and classification from IoT devices and autonomous systems. Each data item passes through sequential validation gates. Safety case evidence for ISO 26262, IEC 61508, and UL 4600 is generated from the validation pipeline — mathematical evidence, not compliance paperwork.
Agent Swarm Web Harvesting collects data from web, social media, and third-party sources through MCP connectors. Every data type and data set is validated through the full Deterministic Validation Pipeline at ingestion. QI Cloud Native Agent Swarm coordinates internal AI compute across platform nodes. EU AI Act Art. 10-11 compliance by construction.
Certified training data. Provably safe execution layer for autonomous AI agents.
Per-transaction mathematical provenance. AML at ingestion.
Per-record clinical provenance. PHI detection at the Ingress Gateway.
Air-gapped EdgeManager fleet. Local ledger. Zero cloud dependency.
sequential per-reading validation. Safety case evidence from the pipeline.
Compliance at the architecture level. Not as a policy add-on.
Whether you're an enterprise, VC, or partner — we'd welcome the conversation.
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