ZENVORA
ZENVORA
ZENVORA
ZENVORA
Research frameworks with point-in-time data, realistic slippage and cost models, and reproducible results you can trust before capital is at risk.
Low-latency order management, smart routing, and execution algorithms (TWAP, VWAP, POV) with full fill reconciliation.
Retrieval-grounded assistants and workflow agents with source citations, guardrails, and human-in-the-loop where it matters.
Custom models for classification, forecasting, and ranking — trained, validated, and deployed with monitoring.
Document ingestion, embeddings, and retrieval tuned per use case — pgvector-first, scaled only when justified.
Every AI system ships with an eval suite. If a change can't be measured against a benchmark, it doesn't ship.
The backends other software is built on — service architecture, integrations, and the API contracts that hold a system together as it grows.
Well-bounded services with clear ownership, typed contracts, and the observability to operate them at scale.
Versioned, documented APIs with authentication, rate limiting, and SDKs — designed for the developers who consume them.
Trading, market-data, payments, and reconciliation systems where latency, precision, and auditability are hard requirements — the discipline the rest of our work inherits.
Payment flows, ledgers, and settlement engines with idempotency, reconciliation, and a complete audit trail.
Real-time and historical feeds normalized, stored, and served to downstream tools with correctness guarantees.