Signal
Find the edge, not the noise.
- LLM-assisted pattern discovery
- Feature pipelines with rigorous evals
- Clear, testable hypotheses
Decision
Structured judgment at market speed.
- Risk-aware policies and guardrails
- Simulate before commit
- Audit-ready rationales
Autonomy
Workflows that work by themselves.
- Event-driven agents and orchestration
- Live observability and alerts
- Human-in-the-loop overrides
Solutions
We build an operating layer that turns precise judgment into self-running systems—event-driven, auditable, and built to adapt.
What you get: a typed event spec, connectors SDK (REST/WS), and on-prem/hybrid deployment.
- Compounding automation—from single tasks to end-to-end flows.
- Policy guardrails with replayable audit logs.
- Human-in-the-loop only where it matters.
- Modular APIs and connectors—drop-in, not rip-and-replace.
Capabilities
Finance & Capital Markets
From signal to execution—risk-aware automation and continuous oversight.
Quant Research & Backtesting
Hypothesis engines, clean data, and fast, reproducible simulations.
Decision Intelligence & Analytics
LLM-assisted analysis that turns metrics into policy—and action.
Data & Model Engineering
Event-sourced pipelines, feature stores, governed delivery.
Why Zelvyn
Precision first, then autonomy—an operating layer for decisions that justify themselves.
Event-Sourced Core
Every change is an event. Rebuild any state, anytime.
- T+0 audit replay
- Deterministic timelines
- Time-travel debugging
Policy-First Execution
Decisions expressed as policies—tested, versioned, enforced in real time.
- Risk guardrails
- Simulate before commit
- Human override / kill-switch
Research → Live
Clean data, feature stores, and reproducible backtests that promote by policy.
- Reproducible runs
- CI-backed promotion
- Traceable rationales
Operates Anywhere
Modular connectors and deployment options to fit your environment.
- REST / WS / event connectors
- On-prem / hybrid
- Live observability
Illustrative metrics from pilot environments; full references on request.
Event-Driven Execution
A buy-side desk moved from brittle scripts to an event-sourced OA layer—signals → policy → orders, with deterministic audit and instant overrides.
Quant Research to Live
A governed research stack unified data, features, and backtests; models promote to live by policy—not tickets.
Decision Intelligence
Analytics that write policy—LLM-assisted summaries turn metrics into actions with guardrails and full traceability.
Roadmap
Where we’re heading—sequenced releases that take you from guided pilots to autonomous operations.
Q4 2025
Private Alpha — OA Core
Event-sourced engine, replayable audit, live dashboard, and exchange connectivity for pilot desks.
Q1–Q2 2026
Research Stack v1
Clean data layer, feature store, and reproducible backtests—hypothesis → simulation at speed.
Q3 2026
Decision Engine & Guardrails
Policy-based execution, risk controls, human override, observability, and a connectors SDK (REST/WS/events).
Q4 2026
Public Beta — Platform 0.9
End-to-end flows from signal → order; typed event spec, API docs, and on-prem/hybrid install (k3s/docker). Publish v0.9 typed event spec + sample policy repo.
H1 2027
Autonomy Suite
Agentic workflows with safe defaults—runbooks, escalation paths, and kill-switch controls.
2027+
Open Horizons
Invitation over instruction: a living ecosystem that welcomes new signals, surfaces, and collaborators without ceremony.