Don't Just Predict.
Recall.
The market has been here before. Instantly find the exact historical moments that match today's price action using high-dimensional vector search.
The "Glass Box" Advantage
Modern markets operate in regimes that legacy models fail to recognize. Neural networks provide signals but act as "Black Boxes"—lacking explainability and making them unsuitable for managing large capital due to compliance and risk constraints.
We Built a "Glass Box".
Our engine doesn't just "predict" the future; it instantly retrieves historical precedents for the current situation. Every signal is backed by concrete historical evidence you can inspect.
This provides complete transparency in decision-making, allowing for better risk management and investor confidence.
Regime Detection & Context.
By identifying "Novel" vs "Known" regimes, the system automatically flags high-uncertainty environments where algorithmic strategies should be disabled. We calculate VaR based on context, not just recent volatility.
→ Why It Matters.
"Black Box" AI
Opaque signals, no "why"
Linear Models
Fail in novel regimes
"Glass Box" Search
Evidence-based & auditable
Technical Advantages
Adaptive Envelopes
Not static overlays – scenario bands reweight as regime state shifts, reflecting distributional drift in real time.
Interpretable Pattern Memory
Not opaque black‑box ML – analogous historical regimes and cohort composition remain inspectable.
Range‑First Planning
Not single‑path guessing – probability‑ranked scenario space drives sizing, guardrails, and exit logic.
Narrative
A living market memory built on vector similarity search: continuously identifying nuanced historical patterns that conventional models miss, delivering actionable probabilistic context for funds, quant desks and advanced traders.
The platform converts chaotic price streams into structurally aware, probability‑ranked scenario space. By recalling analogous regimes through vector-based pattern matching and projecting distributional envelopes instead of single points, it reframes decision‑making around ranges, risk asymmetry and adaptive sizing. Accuracy is audited continuously; patterns remain explainable without the opacity of neural network black boxes.
Platform Capabilities
Context-Aware Search
Search historical regimes by structural similarity. Find 'looks like' and 'behaves like' patterns instantly.
Adaptive Envelopes
Forward scenario envelopes aggregated from similar patterns. See the full range of outcomes, not just a guess.
Regime-Based Risk
Dynamic guardrails & sizing based on 'Novel' vs 'Known' regime detection. Risk is context-dependent.
Glass Box Transparency
Inspect every matched cohort. Full auditability of why a signal was generated. Zero black-box opacity.
Get In Touch
Need enterprise integration, latency profiles or API throughput specs? We tailor coverage (assets, depth, horizon) & delivery (websocket / batch). Open the form and outline your workflow.
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Join quantitative teams using proprietary pattern intelligence for resilient decision workflows.