Your staff keep working the way they already do:
We:
We onboard a small number of clients at a time to ensure reliable execution.
when conditions are right
risky changes stopped before they touch your systems
unclear requests queried, not guessed
handed to a human, with context
Aigentic is built for a simpler outcome: admin that runs reliably, without constant checking — and knows when to stop and ask.
Integrations with the tools you already use are included.
Watch how everyday admin work gets solved, end to end.
Each example shows the path from request to outcome, including when the system stops before something goes wrong.
What comes in, what needs to happen, where it breaks.
Understanding the edge cases, hidden constraints, what “correct” actually means.
Complements your existing systems; no new tools, no process changes required.
When something needs attention, you'll know — and nothing runs until you decide.
Three phases so far.
Phase 1: Spoon-fed, but not entirely
Six years as a quantitative trader, at Tower Research Capital and then Mecha Markets. The tools, the data and a team were already there. The job was to turn them into spot-FX strategies that worked, and they did: over 1.3 trillion US dollars traded.
Phase 2: Self-apprenticeship
Three years alone in crypto markets, no team behind the screen. Built the whole stack single-handed, from the distributed infrastructure up to the strategies running on it: on-chain arbitrage across liquidity pools, just-in-time liquidity provision, execution tuned from milliseconds down to microseconds. Figuring out how to make money with nothing handed to you teaches one thing above all: a system you run alone must explain itself, and must never guess.
Phase 3: Building for other people, and learning to sell it
Trading is modelling the world from behind a screen. The model wins or loses, and nobody’s day actually changes. Aigentic is the same discipline pointed at real operations, the admin work that eats an owner’s evenings, built alongside the people who run it. This phase is the one still being figured out, in the open, one customer at a time.
Longer write-ups on why this work is hard, and what actually holds up in production.