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AI and software for manufacturers, PE portfolios and SaaS Businesses that already run on software.

Two kinds of clients, one approach: start with what you already run, and go further only where it pays.

Manufacturers & distributorsPrint-on-demandPE portfolio companiesStartups & SaaS
Operating businesses

Manufacturers and distributors

US small and mid-sized manufacturers and distributors running an ERP, WMS or MES that records everything and explains little.

What we solve

  • Scrap, waste and spoilage
  • Cost-to-serve by order and customer
  • Supplier and delivery drift
  • Inventory and capacity

Where most start

An AI layer on one workflow, read-only, with first findings in weeks.

Proof

Stakes Manufacturing: an ERP modernized with 0 production pauses, and an AI layer that shows where spoilage happens.

AI Intelligence Layer →Modernize & Integrate
Featured specialization

Print-on-demand and decorated apparel

Shops where costs are rising faster than prices, and the system doesn’t show which order, job or vendor is eating the margin.

What we solve

  • Cost-to-serve on every order
  • Spoilage, before the press starts
  • Orders drifting off schedule

Where most start

The one problem costing you most, demonstrated on your own data.

Proof

More than a year embedded inside a live print-on-demand operation.

Print-on-Demand →
Operating businesses

PE portfolio companies

Portfolio companies that need value created after the deal: margin found faster, systems modernized without disruption, and delivery that doesn’t depend on a few people.

What we solve

  • Post-deal acceleration and cost takeout
  • Margin visibility across operations
  • Legacy systems holding the plan back
  • Delivery continuity

Where most start

An AI layer that surfaces margin leaks, or a Pod that takes over a stalled roadmap.

Proof

DAIS, an investor-backed platform: better cost control and delivery continuity than previous partners.

AI Intelligence Layer →How Sprint Pods work
Tech builders

Startups and SaaS companies

Teams that need to ship AI products and features without waiting to hire.

What we solve

  • AI-native MVPs
  • GenAI features and integrations
  • Data platforms that scale
  • Codebases you’ve outgrown

Where most start

A Pod in days, with working software every two weeks.

Proof

Cadastral AI: an AI underwriting MVP in 12 weeks. Crateful: a quick-commerce platform from scratch.

AI Product Engineering →See the case studies
Trusted by teams at Crateful
Start here

Not sure where you fit?

Tell us what you run and where it hurts. We’ll tell you where to start.

Book a 30-minute call → Topic: An AI layer
  1. 1
    A 30-minute callWe learn what you need and where it hurts.
  2. 2
    A clear planScope, team and the first two sprints.
  3. 3
    Work in daysA Pod starts, and ships every two weeks.