Resources
Under the hood
Technical architecture, scoring methodology, machine learning pipeline, and security posture — everything you need to evaluate GTM Clarity with confidence.
System Architecture
GTM Clarity is built on two foundational pillars — identity resolution and intent intelligence — that feed every scoring, enrichment, and activation capability in the platform.
1. Data Ingestion
Signals from CRM, marketing automation, website pixel, ad platforms, email, and calls
2. Identity Resolution Engine
Deterministic matching across 4.5B emails, 300M phones, device IDs, UID2. Anonymous to known identity.
3. Intent Intelligence Engine
600B daily bid-stream impressions, URL parsing, semantic embedding, taxonomy matching, person-level scoring
4. Scoring Engine
Four-dimensional scoring: Fit + Engagement + Propensity ML + Intent. Full SHAP explainability.
5. Buying Group Intelligence
Role detection, completeness scoring, contact discovery, gap alerts — built on resolved identities
6. Activation & Sync
Bi-directional CRM sync, audience activation, attribution reporting, webhook events
Application Stack
Next.js + React
Server-rendered dashboard with real-time updates. Tailwind CSS design system.
tRPC
Type-safe APIs with end-to-end TypeScript. OpenTelemetry tracing for full observability.
PostgreSQL + Drizzle
Neon serverless Postgres with Drizzle ORM. Row-level security for multi-tenant isolation.
Python FastAPI
Dedicated ML sidecar for propensity scoring. XGBoost batch + River online learning.
Clerk
Enterprise SSO, RBAC, and organization-level access control. SOC 2 compliant.
Vercel + Edge
Edge-deployed globally. Automatic scaling with zero-downtime deployments.
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