Phase 1 — AI Engineering

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.

Before

Before

After ScaleKernel

AI EngineeringSeries A vertical AI SaaS

The product worked in demos but failed in production — stale context, no eval harness, and latency spikes blocking enterprise deals.

Approach

↓ 62%

Hallucination rate

↓ 41%

P95 latency

3 closed

Enterprise pilots

“We finally had an AI stack we could put in front of enterprise buyers without apologizing.”
— CTO, Series A vertical AI SaaS

See how we partner across engineering, innovation, and growth.

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

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

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