Train better. Serve cheaper.
Verify safer.
Fidelity Horizon is a Stockholm-based AI infrastructure company that builds governed AI products for training optimization, inference cost reduction, and deterministic AI verification. Three products, verified across multiple architectures from 11M to 72B parameters, grounded in one mathematical framework.
Three products, one governed stack
Each solves a distinct problem in the AI lifecycle. Together they form a complete governance pipeline from training to verified production output.
MCG
Engine tuning for AI models. Identifies which parts of a neural network are unnecessary and removes them. Verified across multiple architectures from 11M to 72B parameters.
35–78% FLOP reduction · Zero quality loss at layer removal (72B)Learn more →TTU Router
An automatic gearbox for AI inference. Automatically determines whether each query needs an expensive model or a cheaper one, based on each response, not manual rules. Provider-agnostic.
51% cost savings · 99.8% qualityLearn more →CoF Audit
The flight control system for AI. Every decision checked against safety contracts before it reaches a human. Deterministic, reproducible, model-agnostic. EU AI Act ready.
103 tests · 8 example contracts · 0% false GREENLearn more →From training to verified output
Pre-deployment screening finds model failures. Runtime routing optimizes cost. Deterministic verification catches what confidence misses.
Each component works standalone. The stack multiplies savings.
AI is expensive, opaque, and unverified
Most organizations overpay by 40–60% because every query goes to the most expensive model regardless of difficulty.
Models produce answers with no quality check. In regulated industries, that is a compliance gap waiting to be exploited.
High-risk AI systems require robustness verification with reproducible audit trails. Most AI deployments have no deterministic verification layer.
Common questions about Fidelity Horizon
What is Fidelity Horizon?
Fidelity Horizon is a Stockholm-based AI infrastructure company that builds three governed AI products: MCG for training optimization (35–78% FLOP reduction), TTU Router for inference cost reduction (51% savings at 99.8% quality), and CoF Audit for deterministic AI verification (0% false GREEN rate). All three products are grounded in the Conservation of Fidelity mathematical framework. 23 provisional patents filed.
How can I reduce LLM inference costs?
TTU Router reduces LLM inference costs by 51% while retaining 99.8% quality. It works as a provider-agnostic API proxy that measures model quality on each response and routes queries to the most cost-effective model automatically. Compatible with OpenAI, Anthropic, and any LLM API. One-line integration.
What is deterministic AI verification?
Deterministic AI verification means every AI output is checked against predefined safety contracts before delivery, producing an identical ALLOW or BLOCK result every time. CoF Audit provides this with byte-identical reproducibility, cryptographic audit trails, and zero dependence on ML or LLMs. Designed for EU AI Act compliance (enforcement August 2026).
23 provisional patents filed
23 provisional patents protect the theoretical foundation and product implementations across all three products.
Ready to govern your AI?
We're looking for design partners for pilot deployments.