Evidence-backed hiring signal

Cofeeds turns CVs, voice interviews, and role criteria into candidate profiles hiring teams can inspect. Scores are weighted, source-linked, and consent-controlled, so shortlists start with evidence instead of AI guesswork.

Process

From profile data to traceable fit scores

Candidates share context. Employers see how each signal was scored.

Candidate uploading a CV from a laptop

Candidate

Start from your CV

Cofeeds extracts experience, skills, and role history as source evidence

Candidate speaking in an interview

Add your voice interview

Answer questions that reveal how you think, communicate, and solve role-specific problems

Recorder on a chair representing interview analysis

Build a source-linked profile

Scores can point back to CV details, transcript highlights, preferences, and role criteria

Structured signal blocks in warm light

Employer

Employers review weighted signal

Candidates are ranked by fit dimensions your team can inspect and tune

Candidate profile access represented by shadows

Sales-guided access

Access opens when there is real intent

Deeper details align with hiring intent, team volume, and candidate consent

Candidate using a laptop with clearer hiring signal

Improve the next match

Hiring feedback can sharpen future role criteria and scoring weights.

Capabilities

The audit layer behind better shortlists

Not just a polished rationale. Scores, weights, source evidence, and candidate consent in one reviewable flow.

Profiles

Candidate-owned signal profiles

CV context, voice responses, preferences, and access controls stay connected to the candidate

Candidate profile photo

Criteria

Configurable role criteria

Set weighted dimensions for each role so the composite score is explainable before anyone reviews it

Candidate background being parsed

Evidence

Source-linked explanations

Trace score reasons back to CV details, transcript moments, and preference answers

Candidate working remotely

Governance

Consent and bilingual readiness

Support FR/EN workflows, access rules, and Canadian privacy review from the product surface

Hiring team reviewing candidate scores

Enterprise signal

Candidate evidence for high-stakes hiring teams

Cofeeds turns CVs, voice interviews, preferences, and role criteria into a reviewable signal. The layout stays calm, traceable, and ready for teams that need consistency at scale.

  • Weighted criteria by role
  • Evidence tied to source material
  • Human review remains visible
Professional walking through a modern enterprise campus staircase

Enterprise review workflow

Built for structured comparison, source inspection, and consistent decision quality.

Candidate signal

Frontend Engineer

CV, voice interview, preferences, and role criteria

Strong match
86

Weighted score

86/100

Evidence reviewed

CV, interview transcript, preferences, role criteria

Role fit

35% weight

Matches dashboard work, collaboration style, and role scope.

CV: shipped data-heavy product dashboards

87/100

Skills

30% weight

React, data views, API integration, and product iteration.

CV: React, API integration, iteration with product teams

88/100

Clarity

20% weight

Explains tradeoffs clearly in voice interview responses.

Voice: clear tradeoff explanation in scenario response

84/100

Motivation

15% weight

Interested in user-facing tools and measurable product impact.

Preferences: user-facing work and measurable outcomes

84/100

Traceable reason

The weighted score rounds to 86 because role fit and skills carry 65% of this role's criteria. Evidence points to similar shipped interfaces, clear tradeoff explanations, and a preference for the team's working rhythm.

Trust layer

AI support with human hiring judgment

AI hiring only works when the signal is inspectable, consent-led, and used as support for human decisions. Cofeeds shows what was scored, why it mattered, who can access details, and where human review takes over.

Public proof

Proof over placeholder logos

Public pages use product examples only. Customer logos, testimonials, and candidate details should appear only when real and approved.

Decision support layer

Human-led AI support

Scoring, evidence, access, review, and privacy stay visible before a team moves forward.

Human-led

Review workflow

Human decision boundary

Controls covered

Scoring, evidence, access, review, privacy

Weighted, configurable scoring

Each role can define dimensions and weights so the composite score is anchored before candidates are compared.

Scoring

Evidence links, not just rationale

Fit, skill, clarity, and motivation signals point back to CV context, interview responses, and preference answers.

Evidence

Human decisions stay explicit

Cofeeds structures evidence for review. Hiring teams remain responsible for who moves forward.

Review

Privacy and compliance by design

Bilingual (FR/EN) candidate experiences, consent records, access requests, retention schedules, and deletion workflows are built in, with region-specific privacy reviews documented in our trust center.

Pricing

Plans for AI-age hiring

Candidates build richer profiles for free. Hiring teams start at $399/month and scale with seats and profile unlocks.

Create an AI-assisted profile

Free forever for candidates

$0

Employers only unlock deeper access when hiring intent is real

Upload CV and complete a voice interview

Get a structured hiring profile

Employers discover you by fit

No unlocking required

Full control over visibility

Upgrade evaluation with auditable signal

Candidates can express more with AI. Cofeeds helps employers inspect the evidence, compare weighted fit, and keep consent clear before moving forward.