Semarize
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SolutionSaaS

Conversational intelligence
built for SaaS

From pipeline to renewal, every customer conversation contains signals your systems need. Semarize extracts structured data from sales calls, CS check-ins, and support interactions - and feeds it directly into your stack.

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Industry challenges

SaaS teams drown in
unstructured conversation data

High-velocity SaaS sales and CS teams generate thousands of conversations weekly. The signals inside them rarely make it into the systems that need them.

Pipeline data is self-reported

Reps update CRM fields manually - if they update them at all. Budget, timeline, and stakeholder data is often missing or stale by the time it reaches RevOps.

Churn signals hide in CS calls

Customers express frustration, mention competitors, or signal budget cuts in conversations. These leading indicators never make it into health scores.

Coaching is anecdotal

Managers review a handful of calls per rep. Framework adoption (MEDDICC, BANT, SPICED) is talked about but never measured at scale.

Product feedback is scattered

Feature requests and pain points surface across sales, support, and CS conversations. Without structured extraction, they're lost in transcripts.

Use cases

Key use cases for
SaaS teams

Semarize serves multiple teams across a SaaS org - all through the same API, same Bricks, same structured output.

Sales Coaching

Score every sales call against your methodology. Track framework adoption and rep skill lift with structured signals.

RevOps

Enrich CRM fields from conversations. Detect forecast risk, measure process adherence, and feed BI with real pipeline data.

Customer Success

Detect churn risk, sentiment shifts, and expansion intent from every CS interaction. Build health scores that include leading indicators.

Data Science

Feed your warehouse with structured conversation data. Correlate signals with win rates, cycle times, and NRR.

How Semarize fits

Semarize fits into
your existing SaaS stack

API-first architecture means Semarize works alongside your existing tools - not as a replacement. Push structured signals wherever your data needs to go.

CRM enrichment

Write conversation-derived fields directly to Salesforce, HubSpot, or any CRM via API. Budget status, competitor mentions, next steps - structured and automated.

BI & warehouse ingestion

Push typed JSON to BigQuery, Snowflake, or Databricks. Correlate conversation signals with product usage, revenue, and churn metrics.

Automation triggers

Route structured signals to Zapier, n8n, or custom webhooks. Trigger Slack alerts on churn risk, auto-create coaching tasks on low scores.

Meeting platform agnostic

Semarize processes transcripts from any source - meeting platforms, diallers, or your own recording infrastructure. No vendor lock-in.

Bricks & Kits

Example Bricks for
saas & tech

Industry-specific Bricks evaluate the dimensions that matter for saas & technology companies. Bundle them into Kits to create reusable evaluation frameworks.

meddicc_score
score 0–100

Overall MEDDICC framework adherence score

→ 68
competitor_mentioned
string_list

Competitor names identified in the conversation

→ ["Gong", "Chorus"]
expansion_intent
string_list

New teams or use cases mentioned

→ ["marketing team"]
feature_request
string_list

Product feature requests or gaps mentioned

→ ["API rate limit increase", "SSO for contractors"]
budget_confirmed
boolean

Explicit budget commitment mentioned

→ false
churn_risk_flag
boolean

Customer expressing intent to leave or evaluate alternatives

→ true

SaaS Deal Health Kit

kit

Comprehensive deal health signals for SaaS sales cycles.

meddicc_scorescore
budget_confirmedboolean
competitor_mentionedstring_list
next_step_confirmedboolean
decision_maker_presentboolean

Output

Structured signals, not summaries

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

SaaS deal health evaluation
{
  "run_id": "run_abc123",
  "status": "succeeded",
  "output": {
    "bricks": {
      "meddicc_score": {
        "value": 68,
        "confidence": 0.88,
        "reason": "Champion identified, metrics discussed, but no paper process confirmed",
        "evidence": ["...Sarah is our internal champion...", "...they need 30% reduction in churn..."]
      },
      "competitor_mentioned": {
        "value": ["Gong", "Chorus"],
        "confidence": 0.92,
        "reason": "Two competitors were referenced in pricing and procurement context",
        "evidence": ["...we're also looking at Gong for this...", "...Chorus came up again in procurement..."]
      },
      "budget_confirmed": {
        "value": false,
        "confidence": 0.85,
        "reason": "Budget not explicitly confirmed",
        "evidence": ["...still working through the budget approval process..."]
      }
    }
  }
}

Built for SaaS.
Built for your stack.

Extract structured signals from every conversation across your org. Feed them into CRM, BI, and automation - through one API.

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