Semarize
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SolutionHR

Structured intelligence from
every people conversation

From candidate interviews to exit conversations, people teams generate critical conversational data every day. Semarize extracts structured evaluation signals - making hiring more consistent, retention more proactive, and feedback more actionable.

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Industry challenges

People decisions rely on
unstructured impressions

HR and talent teams make high-stakes decisions based on conversations - but rarely have structured, consistent data from those interactions.

Interview scoring is inconsistent

Different interviewers evaluate candidates differently. Without a structured rubric applied consistently, hiring decisions are vulnerable to bias and subjectivity.

Exit insights are lost

Exit interviews surface reasons for attrition, but insights stay in notes or summaries. Patterns across departures are difficult to identify and trend.

Manager 1:1 quality varies

Some managers have excellent development conversations; others don't. Without structured signals from 1:1s, coaching quality is invisible to HR leaders.

Candidate experience is unmeasured

The quality of how your team conducts interviews affects employer brand. Without evaluation, poor candidate experience goes undetected.

Use cases

Key use cases for
HR & talent teams

Semarize applies the same structured evaluation to people conversations that it brings to sales and customer interactions.

QA & Compliance

Ensure interview processes follow legal requirements, DEI guidelines, and internal standards across every candidate interaction.

Customer Success

Track onboarding quality, employee sentiment, and retention risk from HR conversations. Detect disengagement signals before they become attrition.

Sales Coaching

Apply the same coaching signal methodology to manager 1:1s and development conversations. Measure feedback quality at scale.

Data Science

Feed structured interview and exit data into your people analytics platform. Correlate conversation signals with retention and performance.

How Semarize fits

Semarize connects to
your HR tech stack

API-first integration with ATS, HRIS, and people analytics platforms. Structured signals flow into the systems your HR team already uses.

ATS integration

Push structured interview scores to Greenhouse, Lever, Workday, or any ATS. Consistent evaluation data attached to every candidate record.

People analytics feeds

Feed structured conversation signals into Visier, Culture Amp, or your analytics platform. Correlate with engagement, performance, and attrition data.

Compliance documentation

Evidence-backed evaluation records for every interview. Audit trails showing exactly what was assessed and how.

Meeting platform agnostic

Process interview recordings from Zoom, Teams, or any video platform. Evaluate the conversation, not the tool.

Bricks & Kits

Example Bricks for
hr & talent

Industry-specific Bricks evaluate the dimensions that matter for hr & talent management teams. Bundle them into Kits to create reusable evaluation frameworks.

structured_question_asked
boolean

Interviewer asked pre-defined structured questions

→ true
competency_score
score 0–100

Candidate competency rating for specific skill area

→ 72
bias_indicator
boolean

Potentially biased or non-compliant questions detected

→ false
candidate_engagement
score 0–100

Candidate engagement and enthusiasm level

→ 85
attrition_reason
string_list

Departure reasons mentioned

→ ["career growth", "compensation"]
manager_feedback_quality
score 0–100

Quality of feedback provided in 1:1

→ 61

Interview Evaluation Kit

kit

Consistent, structured evaluation for every candidate interview.

structured_question_askedboolean
competency_scorescore
bias_indicatorboolean
candidate_engagementscore
interviewer_talk_rationumeric

Output

Structured signals, not summaries

Every evaluation returns deterministic JSON with typed values, reasons, and evidence spans. Same schema every time.

Interview evaluation response
{
  "run_id": "run_ghi789",
  "status": "succeeded",
  "output": {
    "bricks": {
      "competency_score": {
        "value": 72,
        "confidence": 0.86,
        "reason": "Strong technical depth, but limited systems design discussion",
        "evidence": ["...deep knowledge of distributed caching...", "...didn't address scalability..."]
      },
      "bias_indicator": {
        "value": false,
        "confidence": 0.93,
        "reason": "No potentially biased questions detected",
        "evidence": []
      },
      "candidate_engagement": {
        "value": 85,
        "confidence": 0.89,
        "reason": "Candidate asked multiple follow-up questions and expressed enthusiasm",
        "evidence": ["...I'm really excited about the team's approach...", "...can I ask about the roadmap?..."]
      }
    }
  }
}

Make people decisions
with structured data.

Consistent interview scoring. Proactive retention signals. Evidence-backed evaluation for every people conversation.

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