Data engineering
Normalize tick, order book, and alternative data feeds into AI-ready feature stores with deterministic lineage.
AI-native execution
State-of-the-art trading with human-led oversight
We build resilient AI pipelines that ingest real-time market data, orchestrate model decisions, and keep risk officers in control. Our lab unites quant engineering, compliance, and production logistics so strategies move from research to execution without friction.
Modern AI trading stack
Our team designs modular systems that blend deep learning, reinforcement learning, and rule-based safeguards. Each engagement pairs research support with production operations so models stay aligned with venue rules and portfolio mandates.
Model lifecycle
Backtest, stress, and redeploy models with policy gates, champion/challenger comparisons, and automated reporting.
Execution controls
Integrate real-time limits, explainability hooks, and human-in-the-loop overrides for accountable automation.
Partner platforms
We collaborate with emerging AI trading ecosystems that share our focus on transparency and measurable edge.
QuantRelay
QuantRelay is building accessible, no-nonsense AI trading tools with community-driven insights. We help desks prototype integrations that align QuantRelay's forthcoming automation suite with regulated workflows, user controls, and education paths for retail quants.
Visit quantrelay.comVeksi Strategies
Veksi curates live cryptocurrency strategies with detailed profitability, streak, and trade analytics. We design data pipelines that stream Veksi performance data into risk dashboards, allowing teams to benchmark AI models against thousands of live-executed strategies.
Explore veksi.comCo-create your next AI desk
Tell us about your data sources, compliance constraints, and automation targets. We will assemble a tailor-made blueprint within one week.
Direct email and phone support are currently unavailable.
Services hub: Helsinki, Finland – secure facilities available on request.