Calico AI reports one-minute tech packs after $15m Series A

By Tom Whitfield

Calico AI secured a $15 million Series A and says its apparel platform can generate a production-ready tech pack in about one minute.

That step usually takes four to six weeks, while the wider sketch-to-garment process can run for months or over a year. The report offers no independent tests, factory acceptance rates or error rates. The Toronto-based speed claim remains unverified.

The source frames the delay with an old maxim: one garment can take as long as raising two babies. It is anecdotal, but it identifies the operational target.

A $15 million bet on product development

Calico appointed Derek Galkin as chief momentum officer, a newly created role charged with deepening brand partnerships and driving commercial growth as the company expands. Galkin was a founding partner at SeaVees and has more than two decades of brand-building and executive experience. His career includes work with Deckers, Oakley, Todd Snyder and James Perse.

He joins chief brand officer Anders Bergstrom, who spent 22 years at Deckers Brands. Chan said: “[Galkin] has spent his career inside the brands he’s building for. He knows exactly what it takes to get a product from concept to shelf, and exactly where that process breaks down.”

Chan, the founder and CEO, says Galkin’s operating instinct cannot be taught and that Calico needs it to serve more brands and categories. That is a leadership rationale, not performance evidence.

Calico traces its origin to Chan’s experience with spreadsheets, broken communications, redundant steps, high costs and 18-month concept-to-shelf lead times in direct-to-consumer and fashion supply chains. The company now positions the platform as an end-to-end product-creation engine designed to replace legacy software, spreadsheets and fragmented email threads.

Galkin told Sourcing Journal that he and Bergstrom have each worked in fashion for 30 years. He says most legacy tools remain stuck in the 1990s. His reaction was blunt: “If that really works, it’s going to revolutionize the way that we build things.”

He also plans to introduce Calico to friends and colleagues from those three decades. However, he encountered the platform as a prospective executive and user. That is not an independent audit of its claims.

What does this change for apparel sourcing teams?

Technical design is the immediate target. A factory tech pack normally specifies:

• dimensions;
• points of measure;
• trims;
• fabric compositions.

Designers usually spend four to six weeks preparing that package.

Calico says users can upload a basic image or sketch. Its system deconstructs the garment, extracts structural details, adds standard points of measure and produces a production-ready pack in about one minute.

Prompt-based changes can alter a size scale or remove a garment variation in seconds, update records and notify relevant partners. Calico says this reduces miscommunication, costly sampling errors and weeks of delay, but the report gives no agreement rates against factory-approved specifications.

Open-network sourcing and real-time pricing follow. Buyers enter target costs, production volumes and timelines, then receive immediate itemized estimates down to the penny. The build-up covers:

• fabric usage;
• labor;
• trims;
• overhead;
• expected yield wastage.

Calico says this removes weeks of negotiation and guesswork for brands and factory managers. The report gives no underlying factory quotations, currency assumptions or checks against completed orders.

Translation covers 120 languages for technical specifications and daily messages, linking North American design offices with factory floors in Asia and Europe. “Pulse” reviews factory communications overnight and surfaces priority actions each morning.

What supports the factory-network claim?

Calico says its agentic AI uses proprietary domain data from 150 vetted factories across 10 countries. The network includes manufacturing hubs in Asia, Europe, South America and Mexico. The report does not name the factories or disclose capacity by country.

The company says it observed millions of factory interactions and manufacturing workflows over nearly a decade. It uses that history to identify construction issues, production pitfalls and material requirements. The report cites no third-party validation of the data or its claimed advantage over generic AI models.

Calico lists Everlane among mass-market customers, AYR among elevated labels and Mission Headwear among performance-gear businesses. The report gives no order volumes, customer savings, adoption dates or factory coverage.

The roster confirms customer relationships, but not a quantified service record. It also does not show that every customer uses every module across product creation, sourcing, costing and factory communication.

Calico’s wider thesis is that speed, transparency and centralised data will become non-negotiable for brands of every size. The customer roster does not establish that market forecast.

What buyers must still verify

Galkin says Calico addresses fashion’s persistent speed problem: getting the right product to market before its commercial window closes. He calls it a solution to the industry’s efficiency problem. That remains a commercial ambition.

The $15 million round and Galkin appointment strengthen expansion plans. The report allocates no capital by country, factory or customer, and identifies no capacity investment or order commitment.

Sourcing leaders should pilot the software against a live development cycle. They should compare generated packs with factory sign-off, test quoted costs against supplier budgets and audit revision notices across time zones.

Buyers should also ask how “vetted” is defined, which 120 languages the platform supports, how wastage is calculated and how often the network changes. The practical decision is narrow: pilot the software, but do not treat AI-generated specifications or penny-level estimates as confirmed production commitments until factories and buyers validate them.