Talentino reads every resume in depth, scores each candidate against your role, and shows the evidence behind every score. See top talent faster, surface hidden potential, and make decisions you can defend.
Free to start, no credit card required.Free tier + pay-as-you-go creditsWhat a credit buys
Every open role multiplies the reading. Whether applicants land in an inbox, a folder, or an ATS queue, someone still has to read them, and that time comes out of interviews.
Skim 200 resumes, or ask a general-purpose AI assistant twice, and you get different answers for the same candidate. Inconsistent evaluation is unfair to candidates and impossible to defend.
Keyword filters and quick skims match words, not careers. The candidate who phrased it differently, or whose skills are implied rather than listed, never reaches the shortlist.
A shortlist you can't explain leads to debates, second-guessing, and expensive misses. When a hiring manager or a client asks "why this one?", a gut feel isn't an answer.
Upload resumes in bulk, collect them through your own application form, or capture them from LinkedIn with Talentino Scout, our Chrome extension. Everything lands in one searchable database.
Paste your job description. Talentino extracts the requirements: skills, experience, education, certifications. Mark your must-haves, set the weighting across the scoring criteria, and save the setup as a template for next time.
Every candidate comes back scored, ranked, and explained. Open any profile to see exactly which requirements were met, with the supporting lines quoted from the resume, then shortlist from the same screen.
Six chapters in three parts, from the first LinkedIn signal to the interview room. Every surface is real product. Follow the line.
A Chrome extension that turns LinkedIn into a pipeline: capture one profile in a click, or up to 50 from a search page in a single run, with profiles already in your database flagged.
All the ways candidates get inCapture a candidate from LinkedIn with Talentino Scout and their profile URL lands on their record, next to the resume. From there, the details you and your team add are kept with their history, so the profile grows without anyone losing track of how.
Every update to a candidate's details is kept with its history: what changed, when, and how it was entered.
Beyond the resume, in detailRead the whole career, not the keywords: role-by-role relevance, tenure and gaps, and the skills a resume implies but never lists.
How a career gets readEvery candidate scored against your requirements, ranked in minutes, and explained line by line.
How scoring and ranking workHiring is a team sport: shared notes, statuses, an audit trail, and side-by-side comparisons where AI writes the verdict summary.
The collaboration featuresWorth fast-tracking to the panel.
Talentino finds what each profile is missing. You choose what to ask, the email drafts itself from your template around exactly those requests, and you send it, to one candidate or many at once. When the reply comes, Talentino reads it, updates the profile, and lets you know. Plus tailored interview questions.
The outreach agent, in fullWhich S/4HANA modules did you own end to end?
Candidate data deserves the same rigor as the evaluation.
AI document validation runs before analysis, on by default, to catch unreadable or non-resume files before they reach the scoring engine.
Semantic search across your whole pool, video and voice answer evaluation, multi-language resume parsing, saved templates, and more.
The short version of how Talentino behaves in practice.
See all questionsHave more questions? Contact usThere is a free tier and no credit card is required to start. Beyond it Talentino is pay-as-you-go: AI actions are priced in credits, and you confirm the exact cost of a scoring run before it starts.
It is built to augment recruiters, not replace them. The platform automates processing and first-pass analysis with transparent explanations, and the scores and rankings it produces are advisory. Shortlist and reject decisions are applied from the candidate review screen with the cited evidence in view, and each status keeps a record of who applied it.
The application and file storage run on AWS in Frankfurt (eu-central-1). Those two components are named deliberately: model inference runs on third-party AI providers, and we do not extend the Frankfurt statement to cover them. Bring the question to a demo call and we will go through the components involved.
The role's weighted criteria, per-requirement grades with citations from the resume, the score and the weighting behind it, and the audit trail. Each status keeps a record of who applied it, and because the criteria and the weighting are fixed on the role and stored with it, a past decision can be re-run and checked against the same standard.
Start with the privacy policy, then bring the specifics to a demo call. That is where we go through where the data runs, which components are involved, how candidate files are handled, and what you can export if a decision is challenged.
Read the privacy policy (draft, under counsel review)Where the data runs
Notes on screening, evidence, and hiring, from the team building Talentino.
Upload a role and a stack of resumes, and read the evidence behind every score. Free to start, no credit card required.