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ScaleKernel
ScaleKernel

Go from LLM wrapper to hypergrowth AI company

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Case studies

Measurable outcomes across every phase.

Anonymized snapshots from AI startups we have partnered with — from production systems to PMF validation and repeatable growth.

Before
  • Scattered channels with no single growth loop
  • CAC and funnel metrics unknown or inconsistent
  • No phase gates — scope creeps every sprint
Before
  • Scattered channels with no single growth loop
  • CAC and funnel metrics unknown or inconsistent
  • No phase gates — scope creeps every sprint
vs
After ScaleKernel
  • Unified growth loop across product and GTM
  • Instrumented funnel with clear leading indicators
  • Phase-based roadmap with scoped delivery
AI EngineeringPhase 1 — AI Engineering

Series A vertical AI SaaS

From demo RAG to production-grade retrieval

Rebuilt retrieval, evals, and observability so the team could ship AI features with confidence instead of firefighting hallucinations.

↓ 62% hallucination rate↓ 41% p95 latency3 closed enterprise pilots
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Innovation-as-a-ServicePhase 1 — Innovation-as-a-Service

Seed-stage AI workflow startup

Scoped MVP to first paying cohort

Delivered a focused MVP with built-in validation loops — turning noisy founder intuition into signal from real users.

12 logos paid pilots↑ 2.4× activation (d7)11 weeks time to first revenue
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Growth ExecutionPhase 2 — Growth Execution

Series B AI devtools

Product signal into a repeatable channel

Aligned positioning, funnel, and outbound so acquisition matched product strength and retention stopped leaking.

+38% mrr growth (90d)↑ 55% sql → opp rate108% net revenue retention
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Want outcomes like these?

Tell us your stage and what Phase 1 should unlock in the next 90 days.

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