A completely new foundation for AI. Built on recovered mathematics that replaces the entire modern runtime with something 2.8 million times more efficient.
“The Mathematics the World Forgot”
The mathematical foundation underneath everything AIVR builds. A system recovered from pre-Babylonian mathematics — before trade networks replaced it with the lossy arithmetic designed for street merchants to exchange currency and value commodities.
This is not linear algebra. Not floating point. Not gradient descent. Not a refinement of any existing approach. A completely different mathematical primitive, a different composition law, a different notion of distance.
The nature of the mathematics is proprietary. The benchmarks are public.
“The math was lost after Babylon. We recovered it.”
“No FLOPS. Always STEPS.”
The inference runtime built on [********] mathematics. It does not optimise the transformer — it replaces it. [********] matrix multiplication. [********]. [********] KV-cache. [********] attention heads. The entire pipeline is different.
A 7B transformer performs approximately 14 billion floating-point operations per token. HELIX ENGINE performs 4,976. The same task. The same depth. 2.8 million times less work.
The engine steps. It does not flop.
“The Sovereign AI Container”
The AIVR containment platform. It wraps any AI model — our deterministic HELIX CORE models, or any third-party model your business requires — in five orthogonal layers of boundaries, validation gates, audit trails, statistical learning, and caching.
The model is untrusted by default. The shield does not try to make the model repeat itself. It makes the system around it converge regardless of what the model does on any given run.
Your data never leaves your iron. Your audit trail is on your filesystem. Your compliance with 8 EU regulatory regimes is enforced by architecture, not by policy documents.
HELIX CORE AI is what happens when you replace the mathematics underneath AI, build a native inference engine on the replacement, and wrap everything in a sovereign containment platform that makes compliance, auditability, and self-healing architectural properties instead of afterthoughts.
AI models running on recovered mathematics. Zero linear algebra.
Inference at 2.8 million times fewer operations. Deterministic output.
5 containment layers. Any model. Any accelerator. Your iron.
Their math FLOPS. Our math just STEPS.
| System | Reported Rate | AIVR Speedup |
|---|---|---|
| GPT-3.5 Turbo ( OpenAI ) | ~100 tok/s | 346,744× |
| GPT-4 Turbo ( OpenAI ) | ~70 tok/s | 495,348× |
| Groq LPU ( Llama-3-70B ) | ~300 tok/s | 115,581× |
| Llama-2-7B on A100 ( vLLM ) | ~1,500 tok/s | 23,116× |
| Mistral-7B on A100 ( vLLM ) | ~2,000 tok/s | 17,337× |
| Mamba-3B on A100 | ~8,000 tok/s | 4,334× |
RTX 5070 is a $500 consumer GPU. A100s are data-center parts priced roughly 10× higher. Groq LPU is bespoke silicon. AIVR’s absolute advantage is larger than any hardware differential could explain.
The flagship SaaS bundle. Full HELIX CORE AI.
On-prem enterprise install. Full HELIX CORE AI.
Command center and orchestration. Containment layer.
Token marketplace. Containment for token economy.
Inference routing and distributed worker fleet.
Inference on any device. Phone, tablet, desktop.