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Rubrily

What does Rubrily include?

Rubrily includes hiring projects with a Kanban pipeline, an async AI interviewer, AI CV evaluation, a configurable Fit Score, job posts with a branded careers page, auto-send emails, an org-wide talent pool, analytics, and AI-suggested Matched Talents (BETA) — all on the free plan, in one platform.

ModuleWhat it doesWhere it shines
Hiring ProjectsOne workspace per role: candidates, assessments, pipeline, settingsEverything about a role in one place
AI InterviewerAsync, adaptive, multi-language voice interviews — set up onceScreening without scheduling
AI CV EvaluationReads every CV against weighted criteria; 0–10 + justificationRubric scoring, not keyword filtering
Fit ScoreBlends CV + interview with weights you controlOne traceable number to rank by
Pipeline (ATS)Kanban stages, drag-and-drop, comments, ratings, auto-send emailsWorking the shortlist as a team
Job Posts & CareersBranded posts + careers page, pre-screening, auto-invite, BoostSourcing that feeds the AI screen
Talent Pool & AnalyticsOrg-wide candidate base; funnel, completion, time-in-stageSeeing the whole hiring machine
Matched TalentsBETAAI-suggested matches from candidates already in your orgRe-discovering past applicants

AI Interviewer

Interviews that run themselves — and still adapt.

Define an interview set once: questions, duration, criteria. Every invited candidate gets a link and completes the interview on their own time, in their own language — voice-narrated questions, spoken answers, and adaptive follow-ups based on what they actually say. Pre-screening questions and CV upload sit in the same flow, and integrity is protected with recording consent, tab-switch and face-visibility monitoring, and AI-answer detection.

Every answer is transcribed and scored against your rubric, with the recording one click away.

Deep dive
Live AI interview asking a candidate a question with a Record answer button.
Candidate interview invitation in the Rubrily candidate portal.Camera and microphone device check before a Rubrily AI interview.Interview set configuration with questions, duration, and criteria.

How do async AI interviews work?

You define the questions once; candidates receive a link and interview whenever they're ready — no scheduling. The AI asks each question aloud, listens, and follows up adaptively. Answers are recorded, transcribed, and scored 0–10 per criterion with justification, so every candidate is assessed on the same rubric.

AI CV Evaluation

CVs read like a hiring manager would — at machine speed.

Link a criteria set to your project and every CV is evaluated against it: a 0–10 score per criterion with evidence-cited justification, document-quality signals, and red flags. Upload one CV or bulk-evaluate up to 30 at once — each auto-creates a candidate and lands ranked in your list.

Deep dive
CV evaluation with per-criterion rubric scores and justifications.
Criteria set editor with weighted, tiered evaluation criteria.

How is this different from a keyword ATS?

A keyword ATS counts term matches; Rubrily evaluates meaning. The AI reads each CV against your weighted criteria and writes a justification for every score, citing what it found. Candidates who phrase experience differently aren't filtered out by vocabulary — and you can audit exactly why anyone ranked where they did.

Fit Score

One score you can defend.

Weight the CV evaluation against the interview — 50/50, 70/30, whatever fits the role — and every candidate gets a blended Fit Score from 0–100%. It’s not a black box: every Fit Score decomposes into its components, criteria, and written justifications. And when there isn’t enough signal, the answer is “Cannot evaluate,” never a made-up number.

Deep dive
Candidate report Fit Score gauge with component breakdown.
Fit Score configuration blending weighted CV and interview components.

Pipeline (ATS)

A pipeline your whole team can work.

Kanban board with configurable stages, drag-and-drop candidates, list view with sort-by-Fit, per-candidate comments and 0–10 team ratings, full activity history, and auto-send emails that fire when a candidate enters a stage (immediately or delayed). The org-wide talent pool keeps every candidate you’ve ever assessed searchable, with per-candidate discoverability controls; analytics show funnel, assessment completion, and time-in-stage.

Deep dive
Hiring pipeline Kanban board with candidates across stages.
Analytics showing funnel, assessment completion, and time-in-stage.Auto-send email rules configured per pipeline stage.

Job Posts & Careers

Sourcing that flows straight into screening.

Compose a branded job post with quick facts and pre-screening questions, publish it to your own careers page, and share or Boost the link. Applicants can be auto-invited into the AI interview the moment they apply — so sourcing, screening, and scoring happen in one motion, and Matched Talents (BETA) resurfaces strong past candidates for new roles.

Deep dive
Published Rubrily job post with live candidate preview and share links.
Branded careers page listing published job posts.Matched Talents (BETA) ranking talent-pool candidates against a project rubric.

Frequently asked questions

Can I customize pipeline stages?
Yes. Each hiring project's pipeline stages are configurable, and candidates move between them by drag-and-drop on the Kanban board or from the list view. Stage changes can trigger auto-send emails — immediately or after a delay that cancels automatically if the candidate moves on.
Does Rubrily send emails automatically?
Yes. Auto-Send rules email candidates when they enter a pipeline stage — a rejection note, an interview invite, a next-steps message — either immediately or after a delay. Delayed sends cancel themselves if the candidate leaves the stage first, so nobody gets a stale email.
What languages do candidates get?
Candidates choose their interview language at the start of the flow, and the AI conducts the interview in it. Your rubric and scoring stay consistent regardless of the language the candidate answers in.
What is Matched Talents?
Matched Talents (BETA) suggests candidates already in your organization's talent pool who look like strong fits for a new role, so you can re-engage past applicants instead of sourcing from zero. It's in beta today and improving; scoring and screening never depend on it.

See it with your own role.

Create a hiring project, paste your job description, and watch the AI build the screen.

No credit card. First candidate screened in minutes.