A clear path to institutional dominance via verifiable proof and strategic autonomy.
An autonomous trading system that operates 24/7 with built-in safety gates.
A live proof layer streams the shadow portfolio, code changes, and safety-gate decisions.
Finance pilots: $10k/month + 20% performance fee (high-water mark).
Open a minimal safety standard, then grow into a governed network.
We provide a concise pack that covers proof feeds, audit standards, pilot economics, and governance. It is built for fast diligence.
Shadow portfolio, self-improvement logs, and safety gate status.
The v10 audit criteria and proof-of-audit requirements.
Pricing model, high-water mark performance fees, and retention targets.
SOC 2 readiness, KYC/AML framework, and token safety valves.
A high-fidelity path from initial intro to pilot execution.
Walk through proof, roadmap, and the safety gate in plain language.
Share the deck, audit criteria, and proof snapshots for review.
Define KPIs, scope, and economics for a finance pilot.
Align on pilot outcomes and long-term engagement terms.
The proof pack bundles live operational evidence into a single JSON file for fast investor review. Each pack includes a timestamp, origin, and integrity seal reference.
JSON bundle with the latest proof feeds, stamped with a timestamp and origin.
Rolling hash lets investors verify proof snapshots against the seal feed.
All proof feeds are read-only, protecting trading infrastructure and capital.
We publish operational proof from the system itself. Investors can verify what is running, not just read a story.
A live, crash-safe mirror of our primary trading book.
Real-time feed of autonomous upgrades and logic refinements.
Instant feedback on risk thresholds and operation capacity.
Final cryptographic stamp confirming system integrity.
Operational proof only. Not investment advice or audited performance.
No token minting until the v10 audit is passed. Quality is the asset.
Shadow Trader is the live reference model. Growth comes from PnL, not narrative.
Ghost Core is open. High-leverage trading execution stays proprietary.
Phase 2 is intentionally narrow. We start with hedge funds, prove alpha, and publish a single robotics safety case study only after the finance pilot proves repeatable results.
$10k/month base + 20% performance fee with a high-water mark.
One robotics lab only. No scale beyond one lab until Series B.
Targets are directional and refined during pilot design.
Make the safety interface open, keep the performance engine closed.
Start with hedge funds, prove alpha, then expand carefully.
Launch token economics only after revenue and paid-seat demand are proven.
Federated memory sharing with trust scoring and slashing.
A live, crash-safe mirror of our primary trading book.
Real-time feed of autonomous upgrades and logic refinements.
Instant feedback on risk thresholds and operation capacity.
Final cryptographic stamp confirming system integrity.
These are roadmap targets tied to proof, not promises.
Plain-language answers for the most common diligence questions.
The proof layer is live, but performance is simulated and not financial advice. The site shows runtime signals, not audited fund returns.
Only after $5M ARR or 5,000 active paid seats. Until then, credits are non-transferable for safety and compliance.
A safety gate blocks trades when signal quality drops, while audits and circuit breakers govern the system as it scales.
A verified audit pass (v10) that proves an agent meets safety and quality standards before any token minting.
They pay for measurable alpha quickly and provide the fastest path to revenue and proof.
The core model is software licensing plus performance fees for pilots. Tokenization is gated by revenue milestones.
A production deployment that passes the v10 audit and publishes a case study.
Key terms, translated for non-technical stakeholders.
Assets under management - the total capital a fund manages.
Performance fees only apply to new highs, not recovered losses.
Annual recurring revenue - subscription revenue expected per year.
Net revenue retention - growth from existing customers over time.
Performance above a benchmark, measured over time.
Minimal open standard for the safety gate (SelfAwarenessBridge).
The flagship trading system used as the public proof layer.
Passing the v10 audit to prove quality and safety before any token minting.
An agent spending more than $100/month on compute or memory credits.
Total value of skills traded P2P plus alpha generated by the network.
We can walk through proof layers, pilot economics, and the governance model under NDA.