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Case Study

Multi-strategy hedge fund: Sharpe ratio up 40% in the first year, visible within 3 weeks of launch, fully on-premises

Skyra by Frontier Foundry — Portfolio Intelligence for Regulated Asset Managers.

  • 40%

    Sharpe ratio improvement in the first year, visible within 3 weeks of launch

  • 85%

    Reduction in portfolio analysis time

  • 90%

    Reduction in manual reporting

  • 3×

    ROI in Year 1, our standard

Year 1, annualized, against the 12 months before deployment. Sharpe ratio measured on monthly returns, net of fees. Past performance is not indicative of future results.

Challenge

The client's starting point

Our client — a multi-strategy hedge fund managing a complex, multi-manager portfolio — was doing everything right by conventional standards. Experienced analysts. Rigorous process. Legacy risk tools from established vendors.

And they were still missing things.

Their analysts were spending the majority of their time on pattern recognition tasks that should have been automated years ago — combing through historical trades for risk signals, manually correlating factor exposures, producing compliance reports by hand. When they did identify risk, the alerts came too late to act on, and too often they were false positives that had analysts chasing noise.

Three challenges were limiting their edge:

Pattern blindness at scale

Human analysts cannot simultaneously track risk signals across hundreds of positions and multiple regime environments. High-risk trades were slipping through review — not from negligence, but from the sheer limits of manual cognitive bandwidth.

Unreliable legacy tooling

Their existing risk platform produced inconsistent outputs across similar conditions, eroding analyst confidence and creating downstream compliance uncertainty.

Cloud AI was not an option

The fund evaluated several commercial AI solutions but immediately disqualified them on data security grounds. Sending proprietary strategy data to external inference servers was not acceptable. The fund's alpha models and position data couldn't leave its network.

At a Glance

Challenge vs. Skyra Solution

Challenge
Skyra Solution
Pattern blindness in manual review
over 1,000 COSMIC algorithms detecting risk signals across multiple time horizons simultaneously
Legacy tools with inconsistent outputs
Deterministic AI architecture with fully auditable, reproducible analysis
Cloud AI exposing proprietary data
100% on-premises inference — your data never leaves your infrastructure, and the trained models and weights stay yours
Slow, resource-intensive reporting
Automated, audit-ready reporting at 90% lower overhead
Approach

The Frontier Foundry Approach: Skyra

Frontier Foundry built Skyra: a fully on-premises portfolio intelligence platform engineered from the ground up for the security, determinism, and auditability requirements of regulated asset managers.

Skyra runs detection, stress testing and reporting on the fund's own infrastructure. It is a purpose-built decision intelligence system — trained on the client's own historical trading data, running entirely within their technical and physical infrastructure, and producing analysis that is both explainable and reproducible.

Secure Data Foundation with Kundi

All data ingestion and model training flows through Kundi, Frontier Foundry's sovereign AI platform. Client trading data is encrypted at rest and in transit, stored exclusively on-premises, and used exclusively to train models within the client's own environment. The system has no connection to external inference services. Data stays inside the client's network by design, and the audit log records every operation.

over 1,000 Algorithms, Not One General-Purpose AI

Where commercial AI solutions attempt to apply a single generalist model across all portfolio analysis tasks, Skyra deploys a coordinated ensemble drawn from the COSMIC library of over 1,000 algorithms — each trained on specific signal types, factor regimes, and risk categories. The result is analysis that reflects the actual complexity of a multi-manager, multi-strategy fund rather than averaging it away.

Skyra system diagram: trading data, strategy signals, and risk data flow through Skyra to produce risk alerts, portfolio decisions, and audit-ready reports.
Capabilities

Platform Capabilities

  • HMM Regime Switch Detection

    Continuously monitors macro environments using Hidden Markov Models. When a regime transition is detected, Skyra recommends reshaping portfolio exposure — preserving alpha while reducing drawdown risk before the market confirms the shift.

  • Adaptability Quotient (AQ) Scoring

    Scores individual managers and the entire fund across 70+ behavioral factors. The AQ metric quantifies how well decision-makers adapt to changing conditions — surfacing hidden performance drags and concentration risks.

  • Natural-Language Portfolio Interface

    Through Limni's natural-language interface, analysts ask questions about positions and risk and draft reports in plain English. The figures come from Skyra's models; the language model doesn't produce or change them — querying models, generating reports, and stress-testing theses in plain English without writing code or waiting on data teams.

  • Alpha Aggregation Engine

    Performs idiosyncratic alpha mapping and correlation engineering across your signal library to identify which sources of edge are durable versus decaying — letting portfolio managers concentrate risk where it genuinely pays.

  • Scenario and stress testing

    Simulates thousands of macro factor shocks and regime transitions, then recommends portfolio adjustments that preserve alpha-generating positions while building structural resilience against tail events.

  • Automated Risk & Compliance Monitoring

    Provides continuous risk aggregation, regime-aware constraint monitoring, and automated decision-trail logging — turning what used to be days of manual reporting into real-time, audit-ready dashboards.

Results

First output within 24 hours of go-live

Skyra was fully deployed and producing its first output within 24 hours of go-live. There was no extended tuning period, no disruption to existing workflows.

Over Year 1 of production, the fund recorded:

  • 40%

    improvement in Sharpe ratio — the primary measure of risk-adjusted return quality

  • 85%

    reduction in portfolio analysis time — freeing senior analysts to focus on decision-making rather than data processing

  • 90%

    reduction in manual reporting overhead — compliance and risk reporting became automated, audit-ready, and real-time

  • 3×

    ROI in Year 1, our standard

All four metrics measured over Year 1 of production at a single multi-strategy hedge fund, annualized and benchmarked against the 12 months prior to deployment. Sharpe ratio computed on monthly returns, net of fees. Methodology details and per-metric attribution available under NDA.

The fund continues to run Skyra in production.

Why Frontier Foundry

Why Hedge Funds Choose Frontier Foundry

Frontier Foundry's founder served as the FDIC's inaugural Chief Innovation Officer, reporting directly to the Chairman.

Skyra is currently deployed at leading hedge funds. Results describe one client's experience over the period stated and are not a guarantee of future results. Past performance is not indicative of future results. Client identities are withheld under NDA; references are available under NDA. Frontier Foundry has completed a SOC 2 Type II examination covering a 2026 examination period. The report and auditor details are available under NDA.

Ready to See Skyra in Your Portfolio?

Request a briefing. We'll walk through how this deployment worked and what it would take in your environment.

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