Fintech engineering and the quant-AI corridor.

The maps are not a sourcing product. They are the structure of two markets we already measured: 30 fintech engineering orgs, and a 25-firm corridor between quant shops and AI labs, which you use to write a sharper bar while Mira books the interviews. Licenses, exams, and any FINRA or SEC check stay with you, because we do not publish a native registered-search filter.

The momentum leaderboard is 30 fintech companies and 25,860 current engineers: who net-imports, who bleeds, where founders spill over. The corridor report is 25 top quant firms against AI labs, who feeds whom. Those numbers are already on this site. They are not a FINRA directory and not a candidate list you download. Use them to write a sharper bar. Mira then searches 860M+ profiles and books the interview. Registration checks, if the role needs them, stay with you.

1. 01 Write the bar, including licenses You Stack, domain, seniority, and any registration you require, which Mira screens against without inventing a FINRA filter we have not published.
2. 02 Sourcing and outreach Mira, after you approve Sourcing runs across 860M+ profiles, including people who are not applying, and nothing goes out until you sign off.
3. 03 Screening against the bar you wrote Mira Mira screens fit and interest against the bar you wrote, including any license you marked as a must-have. This is not a FINRA check.
4. 04 Interview and registration checks You The interview stays yours, and license and registration checks, if the role needs them, stay with the employer.

Credits meter usage: 10 per contact unlock, 100 per Deep Search list, and 3,000 per additional AI Agent above the plan allowance. Annual prices are billed yearly.

Monthly list prices. Annual equivalents: $89 / $179 / $269 / $449 per month, billed as $1,068 / $2,148 / $3,228 / $5,388 yearly. Trial: 14 days, one-time 1 AI Agent + 500 Credits, no card.