Train better. Serve cheaper.
Verify safer.
Fidelity Horizon is building governed AI infrastructure: three products that make AI models more efficient to train, cheaper to serve, and safe to trust. Built on a shared mathematical framework across the full AI lifecycle.
Model intelligence verified
Structural analysis verified across 10+ architectures from 11M to 72B parameters. Redundant layers identified and removed with quality preserved or improved. Harmful layers discovered that actively degrade model performance.
Inference cost reduction verified
Response-aware routing verified on public benchmarks with significant cost reduction at near-complete quality retention. Consistency routing verified to exceed single-model quality. Provider-agnostic architecture.
Deterministic verification built
Byte-identical reproducibility across runs. Zero false positives on critical test cases. Cryptographic audit trail per decision. Verified against leading models across multiple clinical scenarios.
Three products, one governed stack
Each solves a distinct problem in the AI lifecycle. Together they form a governance pipeline from training to verified production output, built on a shared mathematical framework.
MCG
A model intelligence platform that maps the internal structure of neural networks, identifying which layers are critical, which are harmful, and which are redundant. Model optimization in a single analysis run, not a full training cycle.
Learn more →TTU Router
An inference intelligence platform that measures model quality on each response and optimizes routing adaptively. The difference between reading the exam questions and reading the answers.
Learn more →CoF Audit
A deterministic verification engine that checks every AI output against safety rules before delivery. Deterministic, reproducible, and model-agnostic, with a cryptographic audit trail per decision.
Learn 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 value.
AI is expensive, opaque, and unverified
Every query is treated equally expensive, regardless of difficulty. No quality signal per response, just a flat cost per token. Organizations overpay systematically.
AI models produce answers with no quality check. There is no visibility into when the model was uncertain. No warning when a provider update changes answer quality.
EU AI Act, DORA, and NIS2 drive demand for traceability and documented risk management. But delivering that per response remains an infrastructure gap.
From analysis to autonomous governance
Today, each product addresses a specific gap. Over time, the shared mathematical foundation enables capabilities that isolated tools cannot deliver.
Near term
Model audits that reveal internal structure. Inference routing that adapts to each response. Verification gates that produce reproducible audit trails. Each product independently valuable.
Medium term
Cross-product intelligence: training insights informing runtime decisions. Automatic rule discovery from traffic patterns. Drift detection across fine-tuning cycles. The stack becomes self-reinforcing.
Long term
A governance layer for AI systems, from training through production. Continuous model health monitoring. Autonomous verification scaling across verticals. The infrastructure that makes AI trustworthy.
Common questions
What is Fidelity Horizon?
Fidelity Horizon is a Stockholm-based AI infrastructure company building three governed AI products: MCG for model intelligence, TTU Router for inference intelligence, and CoF Audit for deterministic verification. All three are connected by one mathematical framework.
What is Conservation of Fidelity?
Conservation of Fidelity is the mathematical framework connecting all three products. It defines how we quantify layer importance, assess response quality, and verify output correctness, so insights from one product strengthen the others.
What stage is Fidelity Horizon at?
Pre-seed stage, headquartered in Stockholm. Verified results across multiple architectures on public benchmarks. Looking for design partners and aligned investors.
Interested in what we're building?
We're looking for design partners and aligned investors.