Glass-Box AI
Every AI decision, replayable.
The audit-chain-native AI HFT platform for hedge funds, institutional trading desks, and family offices.
Glass-box AI decisioning in the slow loop. Deterministic C++ in the hot path. Every signal, every order, and every strategy shows its work — and can prove it years later.
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An AI HFT platform built audit-chain-first. Glass-box AI. Deterministic execution.
WORM. Hash-Chained. Signed.
17a-4-aligned audit architecture
AI Proposes. Humans Approve.
Supervised AI strategy lifecycle
§1091 Wash-Sale. Form 8949.
Tax-lot tracking + harvesting backbone
Backbone built — user-facing TLH workflows on the roadmap
Discuss timing →Glass-Box Strategy
Validity-invariant gates · open methodology
Two Loops · One Boundary
Slow-loop AI · Hot-path HFT execution
Who this is for
Built for allocator scrutiny, desk governance, and generational stewardship.
For Hedge Funds
Evidence your next ODD questionnaire asks for
Operational due diligence doesn't take "trust us" for an answer. Every AI decision, every order, every risk-gate verdict, and every administrative action on the platform is a hash-chained audit event with operator attribution — reconstructible byte-identical from immutable storage.
Strategy validation is methodology-first: walk-forward and nested cross-validation, deflated Sharpe, and probability-of-backtest-overfitting gates stand between a backtest and paper trading.
For Trading Desks
The forensic surface procurement asks for
Every privileged action — authentication, trade execution, administrative change, tax disposition — is designed to be geo-attributable through the audit chain, with originating IP and derived geolocation captured at the action and joined by chain reference downstream.
A kill switch reaches every fast-loop component in under 100 milliseconds over a signed control channel, with the issuing operator and every in-flight order recorded in the chain. The risk gateway is the sole order path — bypassing it is architecturally impossible.
For Family Offices
After-tax discipline as a first-class system
Family capital is taxed capital. Lot-level accounting, §1091 wash-sale detection, Form 8949 row generation, and 1099-B reconciliation are built into the platform's core — not exported to a spreadsheet at year-end.
For tax-aware strategies the platform publishes after-tax Sharpe at the investor's marginal rate alongside the gross figure, so the number under discussion is the number the family actually keeps.
Inside the platform
The console an operator actually works in.
These are screenshots of the live paper-trading console — the same code path the production platform runs, filled by a simulated broker. Watch for the part most platforms don't show you: the audit trail and the AI reasoning traces are product surfaces, not internal tools.
Engineering, By The Numbers
Discipline you can count.
These are engineering facts from the repository as of June 2026 — not performance figures, not traction claims. The platform is pre-launch; the discipline is not.
- 126
- Architecture decision records
- 53
- Component specifications
- 700+
- Test files across four languages
- 600+
- Merged pull requests
- 74
- Application surfaces in the console
- 13
- Audit producer domains
Every architectural choice is written down, reviewed, and citable.
Specs precede code. No component is built without one.
Unit, property-based, integration, adversarial, and replay suites.
Every change lands through a review-gated pipeline.
From the orders blotter to the audit-trail explorer.
Every subsystem that can act has its own audit identity.
Founder & CEO
Jon Toroni
Over 20 years of experience in accounting and finance. Worked with a number of SaaS companies. Software design experience spanning 8 years.