AI agents for finance
An autonomous quant-research team —
validated before it touches capital.
QIX Labs builds Flow: an AI agent workforce that automates quantitative research and adversarially validates every result before it reaches capital — the research power of a large quant desk, with a lean team.
Incorporated in Singapore
The problem
Alpha doesn’t scale — it’s bottlenecked on humans
The human bottleneck
A skilled researcher validates roughly one real idea a week — literature, implementation, backtest, leak-checks, cost and capacity, sign-off. Days per idea, mostly plumbing. Meanwhile every alpha decays by the day.
The AI trap
A frontier model proposes a hundred strategies an hour. That is the problem, not the solution: more search means more spurious patterns. “AI for alpha” is an overfitting machine — unless it is chained to an equally powerful refuter.
A false negative costs a day. A false positive costs a blown-up book.
Flow · the product
Quant research as a compounding production line
Flow turns quant research into an automated, compounding production line — and gives the firm one view across every signal it has ever tested. Days of human plumbing collapse into hours of machine search, every step logged and reproducible.
AI proposes, human disposes. Every live decision stays behind a human sign-off and hard caps.
The agent fleet
Six agents, one research team
Each agent owns one job in the cycle — tireless, parallel, and consulting a shared memory before every run.
Scout
Surveys the literature and data; proposes 20+ strategy families, each with an economic prior.
Builder
Turns each hypothesis into backtest-ready strategy code on one canonical engine.
Validator
Runs the full gauntlet: lookahead, overfitting, multiple-testing, hidden beta.
Red-Team
Adversarially attacks every survivor — trying to kill it before capital does.
Synthesizer
Blends survivors; checks correlation, crowding, and whether each one truly adds value.
Librarian
Logs every result — win or dead-end — to a permanent, searchable memory.
The research cycle
An automated production line for alpha
- 01
Hypothesize
From data and prior research, propose testable investment ideas.
- 02
Design
Structure each idea into concrete, falsifiable research questions.
- 03
Explore
Build and backtest many candidates on real market data, in parallel.
- 04
Validate
Run the gauntlet; kill what doesn’t survive; keep the evidence.
- 05
Learn
Wins and dead-ends feed memory — the next cycle starts smarter.
Days of human plumbing collapse into hours of machine search — every step logged, reproducible, and fed back into the loop.
Validation
Most verdicts are an honest “no”
Every candidate runs an adversarial gauntlet built from real failure modes — lookahead, overfitting, multiple-testing, hidden beta, capacity. The output is a clear PASS / REJECT with full evidence, logged to memory.
The product is the refutation, not the generator — and that is what earns the trust to deploy.
| Check | Result | Decision |
|---|---|---|
| Sharpe ≥ 0.80 | 0.84 | PASS |
| Max drawdown < 35% | −29% | PASS |
| No lookahead | clean | PASS |
| Cost survives 20 bps | 0.71 | REJECT |
| Out-of-sample | queued | PENDING |
Institutional memory
A big picture of every signal
- Every experiment is logged
- Wins and dead-ends alike become structured, permanent records — nothing is re-walked twice.
- A searchable organizational brain
- Query what has been tried, what worked, and what failed — instantly, before the next run.
- A compounding, defensible edge
- The map grows with every cycle; duplicated research disappears and the firm’s knowledge accrues.
Validated, dead-end, untested — one map.
Built for
Small and emerging investment firms
Boutique managers, prop desks, family offices, and new funds that can’t justify a large quant team — given the research power of one.
Fewer quants, more output
The research throughput of a large quant desk, with a lean team.
Speed to verdict
Validated ideas in days, not weeks — capture signals before they decay.
Rigor you can audit
Every result independently validated and fully traceable, end to end.
A senior quant costs $300k+ a year. Flow validates a strategy idea for a few dollars of compute — on the order of 100× lower cost per tested idea.
// early access
Put an AI quant team to work.
Flow is rolling out to a first group of small and emerging investment firms. Tell us about your desk and we’ll be in touch.