How Amdahl Works
Your entire go-market-team needs the same information. Amdahl is a data layer built on top of your customer lifecycle that delivers insights to each GTM stakeholder using custom dashboard applets to answer each moment’s most pressing questions.
How it works
Connect your stack
Amdahl integrates directly into your CRM, call recordings, and support tools to operate with full context of your pipeline and customer conversations.
GongHubSpotSalesforceSlack+ more64,000+ interactions syncedStructure and enrich at scale
Every interaction is processed through ML classifiers that tag sentiment, persona, quality, deal context, and competitive signals. Raw transcripts become queryable intelligence.
10M+ interactions enriched per pipeline runInterrogate and simulate
Compare segments side by side. Test messaging assumptions against real data. Slice by won vs. lost, persona, deal size, or funnel stage to see what actually resonates before you commit.
3 clusters found, 12 premium quotes, 2 segments comparedCreate content that converts
Every piece of content is grounded in real customer language. Research carries forward so future content gets faster, sharper, and more aligned with how your buyers actually talk.
Grounded in 8 customer quotes across 3 personas
Not RAG. Not keyword search. A real data pipeline.
Amdahl uses a 25 step data cleansing process to populate your applications and chats with the most accurate GTM data. We are your automated GTM data scientist who builds an entire operating layer for sellers and marketers on the foundation of your customer’s reality.
Ingest
Gong, CRM, support tickets, onboarding notes
ML Enrichment
10 classifiers per interaction
Cluster Discovery
Recurring themes, objections, competitive patterns
Queryable Index
Hybrid semantic + keyword search, SQL, cluster drill-in
10 classifiers per interaction
Sentiment
pain, win, objection
Persona
ML-inferred role
Quality
quotability score
Deal Stage
TOFU to POST
Competitive
mention tracking
Topics
theme extraction
Psychographics
buyer context
Segment
SMB, MM, ENT
Outcome
won vs. lost
Confidence
0 to 1 scoring
Pipeline runs in BigQuery. Your data stays in your warehouse. Tenant-isolated.
Work rooted in reality.
Your data becomes actionable because it uses exact customer quotes and measures them against the result that matters most: revenue.
Remember tribal knowledge? With Amdahl, every marketer, seller, and GTM team member has access to the distilled answer to any question, as told by their customers.
Competitor X pricing backlash detected
12 mentions across Slack and LinkedIn in 48hrs. Enterprise accounts comparing alternatives.
3 deals mentioned switching costs this week
Migration friction surfacing as top concern in mid-market segment.
Onboarding post engagement 4x average
Customer success story driving inbound interest. 847 impressions, 12 shares.
Test your assumptions before you ship.
Financial tools simulate runway. Amdahl simulates messaging impact. Slice your customer data by any combination of persona, deal stage, outcome, and segment to see which messages actually land.
Enterprise vs. Mid-Market objection patterns
- Security review delays34% of lost
- Stakeholder alignment28% of lost
- Budget timing18% of lost
- Pricing vs. DIY41% of lost
- Time to value concerns22% of lost
- Champion left company15% of lost
“How does our pricing narrative perform in won vs. lost enterprise deals?”
“What language do closed-won champions use that our website doesn't?”
“Which pain points appear in SMB but never in enterprise?”
Connections
All OAuth 2.0. All read-only by default. Every integration respects source-side permissions.
Frequently asked
What it is
How it works
Trust and security
See Amdahl on your own data. Thirty minutes. Your own sales calls and support tickets.