Questions about Fidelity Horizon
Common questions about our AI governance products, verified results, and how we compare to existing solutions.
What is Fidelity Horizon?
Fidelity Horizon is a Stockholm-based AI infrastructure company building three governed AI products: MCG for training optimization, TTU Router for inference routing, and CoF Audit for deterministic verification. All three are grounded in the Conservation of Fidelity mathematical framework.
What is Conservation of Fidelity?
Conservation of Fidelity is the mathematical framework developed by Fidelity Horizon that connects 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, Sweden. Founded in 2025. Verified results across multiple architectures on public benchmarks. Looking for design partners and aligned investors.
Do I need all three products or can I use them individually?
Each Fidelity Horizon product works standalone. MCG optimizes training independently, TTU Router reduces inference costs as a drop-in proxy, and CoF Audit verifies AI outputs without requiring the other products. The stack multiplies value when used together.
What is MCG?
MCG (Modular Compute Governor) is a model intelligence platform developed by Fidelity Horizon that maps the internal structure of neural networks, identifies which layers are critical and which are redundant, and enables verified layer removal without retraining. Think of it as model optimization in a single analysis run instead of a full training cycle. Verified across 10+ architectures from 11M to 72B parameters.
How does MCG differ from model pruning or compression?
Pruning removes individual weights after training and degrades quality at high compression. Distillation requires training a new model. MCG identifies structural redundancy during training and removes entire layers while keeping all remaining weights at full original precision. It also stacks with existing tools like quantization and LoRA.
What is Model DNA?
Model DNA is MCG's structural map of every layer's role in a neural network. Each layer is classified as critical, context-dependent, or redundant. Every model version has a unique profile, comparable over time, a version history for your model's internal structure.
What is TTU Router?
TTU Router is a provider-agnostic inference intelligence platform developed by Fidelity Horizon that measures model quality on each response and optimizes routing adaptively. Unlike existing routers that rely on manual rules, TTU measures quality after the response, not before. The difference between reading the exam questions and reading the answers.
What makes TTU different from other inference routers?
Existing inference routers, including API gateways, open-source proxies, and observability platforms, let users or rules select models. Quality measurement on the actual response is missing from existing routing solutions. TTU Router by Fidelity Horizon is the only router that assesses each individual response, with safety routing for sensitive domains and an inspectable decision trail for every routing decision.
Does TTU work with any LLM provider?
Yes. TTU is a provider-agnostic API proxy compatible with any LLM API that follows standard conventions. One-line integration. Your application, prompts, and workflows stay unchanged.
What is CoF Audit?
CoF Audit is a deterministic AI verification gate developed by Fidelity Horizon that checks every AI output against custom safety contracts before delivery. ALLOW or BLOCK, with a cryptographic audit trail. No ML, no LLM, no randomness, byte-identical reproducibility across runs.
What is deterministic AI verification?
Deterministic AI verification means every AI output is checked against predefined safety contracts, producing an identical ALLOW or BLOCK result every time, byte-identical across runs. Unlike probabilistic guardrails, Fidelity Horizon's CoF Audit has no randomness and no external dependencies.
How does CoF Audit help with EU AI Act compliance?
The EU AI Act (enforcement from 2026) requires high-risk AI systems to demonstrate robustness verification with reproducible audit trails. CoF Audit provides deterministic verification (Art. 15), cryptographic record-keeping (Art. 12), risk management via safety contracts (Art. 9), and transparency views (Art. 13). It is a critical building block for compliance, not a total solution.
Can CoF Audit work outside healthcare?
Yes. Healthcare was chosen as example domain because it is one of the most safety-critical and clearly demonstrates CoF Audit's value. The architecture is vertical-agnostic: financial compliance, legal AI, insurance, autonomous systems, any regulated industry where AI output needs deterministic verification.
What is the Attractor Mapping toolkit?
Attractor Mapping is Fidelity Horizon's pre-deployment screening methodology. Organizations use it to systematically test AI models against domain-specific scenarios, identify failure modes, and define safety contracts that catch those failures in production.
How does Fidelity Horizon compare to existing AI governance platforms?
Existing AI governance platforms typically focus on one capability: monitoring, observability, or probabilistic guardrails. Combining training optimization, response-aware inference routing, and deterministic verification in one stack remains an open gap. Fidelity Horizon is building all three capabilities on one mathematical framework.
Where can I see detailed results?
Our results page shows every verified result with full methodology, strengths, and limitations. We distinguish between results on public benchmarks and results using our own methods.
Is Fidelity Horizon raising funding?
Fidelity Horizon is pre-seed stage and looking for investors aligned with AI infrastructure and governance. The company has verified results across multiple architectures and is seeking design partners for pilot deployments. Contact niklas@fidelityhorizon.com.
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