Screen 1000+ resumes in minutes.
Surface the 20 worth interviewing.

An ATS is a system of record — it manages the workflow once a candidate is already in your pipeline (interview scheduling, scorecards, offer letters, compliance). It does not tell you who deserves to be in that pipeline. Acticio is the decision layer that runs before the ATS: every resume, GitHub profile, and portfolio is read, scored, and ranked with evidence, so only the candidates worth a recruiter's time make it through. If you already use Greenhouse, Lever, Ashby, or Workable, Acticio plugs in alongside it — shortlist in Acticio, push the winners into your ATS via export or integration. If you don't have an ATS yet (most teams under 50 don't), Acticio replaces the only stage that actually moves the needle: turning a stack of resumes into a ranked, defensible shortlist. You can run an entire hire end-to-end from the Acticio dashboard until you outgrow it.

Resume text, linked GitHub profiles for engineers (90-day contribution heatmap, commit ownership %, fork-vs-original detection, README depth, language signals, stars), portfolio sites for designers (Behance, Dribbble, personal domains — content, stack, craftsmanship), writing samples and personal sites for everyone else, and any other public evidence the candidate linked. Crucially, the score is evidence-gated: a candidate with a polished resume and zero verifiable evidence is hard-capped below candidates with real proof of work — polish never beats proof. Every score comes with a natural-language explanation citing specific repos, commit percentages, and URLs — so you can defend any decision to a hiring manager or to legal.

Native integrations with Greenhouse, Lever, Ashby, and Workable are on the near-term roadmap — we prioritize based on what paying customers ask for. CSV export of any shortlist works today, so you can push winners into any ATS manually. Email-forwarded resumes (from a Gmail job inbox) and Google Forms intake are also planned. Have a specific need? Email hello@acticio.com and we'll tell you honestly when it ships.

Starter is free forever (50 resumes per month, no credit card). Pro is $149/month for 500 resumes. Team is $249/month for 1,500. Enterprise is custom. Each new candidate you upload counts as one resume credit. Re-analyzing a candidate triggers a fresh AI run so you can correct names or ranking after a resume update — quota usage applies as usual.

Typically 10–20 seconds per candidate, including GitHub crawling and portfolio reading. A folder of 50 resumes is fully ranked in under a few minutes; 500 resumes wraps in well under an hour. We email you when the batch finishes so you don't have to babysit the tab.

Yes. Data is encrypted in transit and at rest, stored in SOC 2-compliant infrastructure, and never used to train models for third parties. You can delete any candidate or job at any time. Full details in our Privacy Policy and DPA — both available on request.

Mark the candidate as hired or rejected after the interview, and rate the ranking thumbs up or down. We use that signal to improve scoring on your account specifically — and to give you a measurable view of where the model and your taste diverge. Your feedback never trains models for other customers.