Small models. Big Impact.
As GTM stacks grow, data silently breaks. Data drifts ( Schema, Semantic, Concept) leave revenue operations grappling with “insight” fixing & explanations they needn’t be spending time on. Incorrect classifications lead to revenue left on the table.
An architecture that appeals to both the CTO and the CRO
Run models locally on your infrastructure. No data leaks.
Beyond timestamps. SLMs that build causal relations
Run 1 million “Intent Audits” for the price of a small GPU instance
Purpose-built Small Language Models for commonly occurring GTM problems. Deploy one or stack them all—each runs privately on your infrastructure.
Builds your Ideal Customer Profile and detects when it drifts from reality—keeping targeting sharp as markets shift.
Coming Soon!
Resolves conflicting intent signals across channels so your team acts on the strongest buying cues.
Coming Soon!
Harmonizes lifecycle stage definitions across historical data — ending the chaos of historical pattern matching
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Reconstructs complete account journeys from fragmented touchpoints —status no dashboard shows.
Coming Soon!
Builds accurate behavioral archetypes from real engagement data—not guesswork firmographics.
Coming Soon!
Makes every lead score explainable – so reps trust the number and act on it with confidence.
Coming Soon!
Maps causal influence across touchpoints— replacing last-click with true multi-touch attribution.
Coming Soon!
Attribution insight your CFO actually believes—backed by causal evidence, not correlation.
Coming Soon!
Scans all GTM communications for PII leakage and ensures customer data never leaves your boundary.
Coming Soon!
Private intelligence infrastructure that keeps your data sovereign, your AI explainable, and your pipeline predictable.
Compliance with SOC 2 & GDPR standards protect your data and privacy.
AI re-enforced with your enterprise data managed in a compliant built-in “GTM Data Hub”
Purpose built SLM’s need fine-tuning. White-glove expert support ensures proven outcomes.
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