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About Us — The RaptorBit AI Story

The RaptorBit AI origin story

RaptorBit AI was built by traders, data scientists and risk engineers who got tired of two extremes: “trust the magic bot” platforms that explain nothing, and spreadsheet-driven setups that drown you in context and still miss the entry. We wanted the sharp focus of a hawk with the discipline of a system engineer. That’s the whole thesis.

Our mission

Rebuild automated trading around explanation first, execution second. Every signal RaptorBit AI prints must survive three tests before it reaches your workspace: is it structurally justified, is it risk-bounded, and would a human analyst sign their name under it? If any one of those answers is no, the signal never leaves our lab.

What we believe

Transparency over mystique

A model that cannot explain itself is a model that cannot be audited. We never ask you to trust what you cannot inspect.

Risk is not an afterthought

Risk thresholds exist before the first signal is written. If a strategy cannot survive its own stress test, it never ships.

Humans stay in the loop

Autonomy is a tool, not a worship object. You are the final authority on every open position in your RaptorBit workspace.

The team behind the hawk

RaptorBit AI is operated by RaptorBit AI Research Labs — a lean group of 24 full-time engineers, quantitative researchers and compliance specialists split across Dublin, Montreal and Warsaw. We’re not venture-funded for growth-at-all-costs. We’re funded by the fee model, which keeps us honest: if the agent doesn’t earn you something to withdraw, we don’t eat.

Leadership

  • Chief Research Officer — former buy-side quant with 11 years in cross-asset volatility modelling.
  • Head of Execution — ex-prime brokerage, built high-frequency routing stacks for two European Tier-1 brokers.
  • Head of Risk — former regulatory auditor at a national FSA, co-authored two public papers on retail risk disclosure.
  • Head of Product — 9 years designing trading dashboards for professional desks.

A short timeline

2021The research cell is spun up inside a European trading boutique.
2023Internal paper-trading hits a reproducibility bar; the lab decides to go public.
2024First private beta rolls out to a hand-picked group of 220 testers.
2026Public RaptorBit AI workspace opens in EU and Canada under raptorbitai.com.

RaptorBit AI by the numbers

24Full-time researchers and engineers
3Operating hubs across EU and Canada
1.4k+Private beta users during 2024–2025
18Internal risk and compliance checks per signal

What RaptorBit AI will never do

  • Promise a specific return percentage per month, quarter or year.
  • Sell your email, trading data or risk profile to any third party.
  • Resume trading after an emergency stop without your explicit go-ahead.
  • Operate in jurisdictions where our model is not legally cleared.

Want to work with the hawk?

We’re always looking for sharp quantitative researchers, infrastructure engineers and risk analysts. If you’ve ever thought “nobody is building trading tech the right way,” you probably belong at RaptorBit AI.

Reach out — careers & partnerships

All trading, including AI-assisted strategies, carries risk of partial or total capital loss. Automated analysis, risk thresholds and historical performance never guarantee profits or cap maximum drawdowns. Full risk disclosure