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This tool builds a Cost Exposure Index from your actual cost basket, stress-tests macro shocks against your real burn rate, and surfaces concrete hedging options to stabilize your cost exposure. Using AI to capture market signals, we help you act long before a risk hits your runway.
Dual-track analysis
Two tracks run in parallel and never write to the same ledger. One is auditable mathematical fact. The other is AI-powered prediction of future market moves.
Built on the actual transaction data, imported macro weather, and standard stress-testing instruments. Every output traces to a formula. The LLM does not touch this track.
SOLID LINE — MATHEMATICAL TRUTH · AUDITABLE
Within this layer, AI processes alternative outcome signals to sharpen scenario probabilities. It does not currently modify the deterministic ledger. Future: it feeds Monte Carlo confidence intervals directly.
DASHED LINE — PREDICTIVE ESTIMATE · IN TESTING
Financial empowerment tool
For finance teams at Series A/B companies and enterprises with real input cost exposure to macro moves.
Institutional hedging infrastructure costs six figures per year and is built for trading desks. Støtte delivers the same analytical depth at a fraction of the cost, running locally on your hardware.
Monitor your financial state locally — platform-agnostic and borrower-side. Your finance team selects the execution path; Støtte surfaces the decision context.
Generic CPI benchmarks don't reflect your actual cost basket. Your prebuilt Cost Exposure Index (CEI) allows a materially more precise hedge.
Sensitive financial cost data cannot safely go into public AI systems. Your data stays on your device.
Privacy & Safety
All deterministic math and cost basket analysis runs on-device. No raw financial data crosses any boundary.
Deployment customised to each client's regulatory framework. Støtte adapts to local governance requirements.
Any cloud inference operates under ZDR agreements — data only comes in and not out — not stored or used for training. An external frontier model handles the predictive signal layer, processing only public market data and passing a probability vector one-way to the local model. All cost basket mapping and narrative generation runs on a captive, on-device LLM — fully local, with no external trace or data transfer.
Third-party security services verify that no sensitive data can egress the local environment — auditing all LLM-assisted code paths and API boundaries for potential data-leaking vulnerabilities before deployment.
Execution platforms
Primary destination for treasury allocation and sector ETF positions. Suited for clients with idle runway seeking energy or broad-market exposure hedges.
Low-cost, multi-asset brokerage with direct FX and derivatives access across global exchanges. Suited for clients executing multi-currency hedges or margin-based positions at scale.
Enterprise-tier FX hedging and treasury protocols. Suited for Series B+ with active covenant structures or multi-currency international exposure.
Regulated stablecoin destination for clients seeking yield on idle USD runway or preparing for international labour payments under the GENIUS Act framework.
Most compliant US stablecoin issuer. 100% reserve backing and monthly public disclosures make it the appropriate choice for clients with regulatory or board-level compliance requirements.
Tokenised treasury fund suited for clients with significant idle runway who require institutional-grade yield while maintaining liquidity for rapid scaling.
Available tiers
Report overages · $2.50–$4.00/report · Mistral Large 3 local inference · $0.00 on-device
Careers
Støtte is a small team working on a hard problem at the intersection of quantitative finance, local-first architecture, and leveraging AI at its full scale. If that sounds like the right place for you to grow, we want to hear from you.
Leave your details and we'll notify you the moment the demo goes live.