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B2B Tech

The AI-native operating system for scaling from Series A to exit

Growth-stage B2B runs on operating loops — acquire, retain, support, optimize spend. Most leak value at every handoff. We turn each one into a smart, AI-native loop that learns and compounds: signals become decisions, decisions drive action, and the results feed the next cycle — so margins and net retention widen as you scale, and you own every system we build.

Our Point of View

Why AI mattersin B2B Tech.

For growth-stage B2B, AI matters when it closes the loop — turning each growth function into a smart operating loop that compounds efficient growth, instead of a lossy one that leaks value at every handoff.

Our point of view is a relentless pursuit of value: we validate ROI fast, amplify your product and GTM teams rather than replace them, hand you full ownership of what we build, and wire the loops together so they compound across your stack.

  • 01Scaling is the testMargins must widen as you grow, not after.
  • 02Lossy loops leak valueSignals captured but never acted on bleed growth.
  • 03Smart loops compoundEach cycle learns, so retention and efficiency stack.
  • 04Efficiency is the new growthDo more with the team you have.
By the Numbers

The AI opportunityin B2B Tech.

0 days

earlier churn prediction from usage signals

0%

code & IP owned at handoff

0×

target ROI within 90 days

Photo: Pexels

Ways We Apply AI

Purpose-built applicationsfor B2B Tech.

.crft

AI-Native Acquisition Loop

Turn every demand signal — site visits, product-qualified usage, intent data — into prioritized pipeline automatically, instead of leaking it across disconnected tools. An AI-native acquisition process that compounds: each cycle learns which motions convert and doubles down.

CRFT engineers the acquisition process, signals, and action layer end-to-end.

.crft

Retention & Expansion Loop

Predict churn 90 days out and trigger retention plays automatically — an AI agent watches usage, support tickets, and NPS so every save and expansion teaches the next cycle. Net retention compounds while CAC holds flat.

CRFT engineers the agent, integrations, and action layer end-to-end.

.crft

Support & Marketing Optimization Loop

Your highest-volume loops — support tickets and marketing campaigns — leak value fastest: tickets answered but insights lost, campaigns run but learnings never fed back. We make both smart: support deflection that feeds product and retention, and marketing optimization that learns from every dollar.

CRFT builds the deflection, optimization, and feedback layer end-to-end.

.sprk

Operating-Loop Diagnostic

Before you build, find the loop leaking the most value. A structured assessment of usage, funnel, and willingness-to-pay scores each growth-ops loop and tells you which to close first — so you invest where the compounding is biggest, before the next raise.

SPRK delivers the assessment and a prioritized, fundable loop roadmap.

.kntrl

ROI & Governance Loop

The loop that watches the loops: see exactly how each AI loop drives net retention, gross margin, and burn multiple — live, not quarterly — so every AI dollar has a number and the operating system stays accountable as you scale.

KNTRL tracks the business impact of every AI loop across your platform.

Typical AI Use Cases
AI-native customer acquisition processes
Net-revenue-retention and churn-prevention agents
Support automation that feeds product and retention
Marketing optimization that learns from every dollar
Willingness-to-pay and growth-loop prioritization
Board-ready AI ROI and governance dashboards
FAQ

B2B Tech,answered.

CRFT validates the core AI workflow in 7–10 days, then ships a production-quality feature in weeks — so product velocity scales with your team instead of trailing it.

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