Résumés say skills. Findmie reads responsibilities — what a candidate genuinely built, ran, and owned — and matches them to your role with evidence you can defend.
Paste any JD. Findmie extracts responsibilities, must-haves, and context — not just a keyword list.
A role-specific intelligence module — SAP, network, cybersecurity, Java — layers in what actually matters for that role beyond the JD's wording.
Each responsibility is weighted must / core / nice-to-have, so a missing critical duty can't hide behind ten matched buzzwords.
Every candidate is measured against the same responsibility model — transparent to your client, defensible in a hiring review.
Describe who you need. Findmie translates intent into a responsibility-aware query.
Every job duty is matched to what the candidate has actually done — with the exact line of their history as evidence.
A 76 isn't a mystery. You see precisely which responsibility is missing and whether it's trainable or a dealbreaker.
Export the evidence trail. When a client asks "why this candidate?", you have an answer that isn't "the AI said so."
| Job responsibility | Candidate evidence | Match |
|---|---|---|
| Lead S/4HANA migration | Led 2 full migration workstreams↳ Deloitte · 2023–2025 | 96% |
| IDoc / OData interfaces | Built 14 custom interfaces in prod↳ Infosys · 2021–2023 | 91% |
| Code review ownership | Ran review board, team of 6↳ Deloitte · 2024 | 84% |
| Fiori / UI5 | Coursework only, no prod work↳ Flagged: trainable gap | 62% |
Generic AI tools evaluate a network engineer and a QA lead the same way. Findmie runs a global recruiting baseline underneath role-specific modules that know what each job actually demands.
Know how many candidates realistically exist for the role before you promise a client a timeline.
India and US compensation side by side — the view offshore-delivery recruiters actually need and no US-only tool provides.
Set client expectations with data: competition level, salary pressure, and time-to-fill risk on day one.
Finding candidates is half the job. Screening them honestly and protecting your placements from fraud is the other half — and where most tools go silent.
Findmie runs structured async screens using questions generated from the role module — real depth checks, not "tell me about yourself." Scored against the responsibility model.
Every new role is matched against candidates already in your database before you spend a rupee or dollar sourcing new ones. Silver medalists become your fastest fills.
Fake experience, overlapping employment, and proxy-interview risk are endemic in IT staffing. Findmie cross-checks every profile so your name never goes out on a bad submittal.
| Findmie | Generic AI sourcing tools | |
|---|---|---|
| Matching unit | Responsibilities — what was actually done | Skills & keyword tags |
| Role understanding | Deep role modules per IT specialization | One model for every job on earth |
| Market coverage | India + USA, side by side | US-only, or none |
| Screening | Role-aware AI screens, scored on evidence | Not included |
| Fraud protection | Verification built into every profile | Your problem |
| Explainability | Evidence trail behind every score | Black-box percentage |
Findmie is launching soon for IT recruiting teams in India and the US. Join the waitlist for early access, founding-user pricing, and a direct line to shape what we build.