Explainable by default
Every trade carries its rationale, supporting evidence, and approval trail. Investor communication is built into the workflow, not bolted on afterward.
AI-native hedge fund operating system
Vektor is a paper-first operating stack for research, thesis generation, risk review, and execution oversight. It is designed to feel closer to an institutional control room than a black-box trading bot.
Why it feels different
The experience should help an allocator understand what the system is doing, why it is doing it, and when it should slow down.
Every trade carries its rationale, supporting evidence, and approval trail. Investor communication is built into the workflow, not bolted on afterward.
Vektor is optimized for disciplined pace rather than maximum trade count. The system slows down before it lets uncertainty compound.
Research, allocation, overrides, and post-trade review live in one operating surface so the system feels governable under pressure.
Control layer
Control layer
Agent bench
The system stays readable because the responsibilities stay narrow. Research finds. The manager frames. Risk challenges. Control records.
Research
Collects market context and turns noisy information flow into ranked opportunities with supporting receipts.
Manager
Frames the trade thesis, capital plan, and expected path before any execution route is considered.
Risk
Runs independent checks on sizing, liquidity, concentration, and stress scenarios with veto power.
Control
Logs the full decision chain so monitoring, review, and investor reporting stay consistent after the trade is live.
Start here
Vektor is intentionally opinionated about rollout. You monitor the simulated book, review the decision logs, and only then allow live capital into the loop.