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Funding Brief|CADDi Raises $114M Series D at $1.2B Valuation

Sep 19, 20261 min
TL;DRCADDi closed a $114M Series D at a $1.2B valuation, more than double the $470M it reported in March 2025. This round signals investors believe decades of undocumented manufacturing know-how can finally be captured as structured data and handed to AI agents, instead of staying locked in veteran engineers' heads.

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Funding Details

FieldValue
CompanyCADDi (Tokyo, Japan / Chicago, US)
RoundSeries D
Amount$114M
Lead investorNo single lead; eight new and existing investors participated jointly
Follow-onMoore Strategic Ventures, Coreline Ventures, Toyota's Woven Capital, Salesforce Ventures, HR Tech Fund (Recruit Holdings' venture arm), Atomico, Globis Capital Partners, JPS Growth funds (managed by a Japan Post Bank subsidiary)
Valuation$1.2B (up from $470M in March 2025, about 2.55x)
Total raised$234M
Founded2017
HeadcountAbout 900 (up from 600 in early 2025)

What the company does

CADDi builds an AI data platform for manufacturing — it turns knowledge scattered across drawings, CAD files, ERP systems, and HR systems into structured data that both people and AI agents can use.

Its original product, CADDi Drawer (now renamed CADDi Explorer), tackled a very concrete waste problem: manufacturers repeatedly buying nearly identical parts from different suppliers. The system ingests technical drawings and searches a customer's own databases for similar or identical parts already purchased or in stock, attaching defect-rate data so the customer can decide whether to use existing inventory, reorder from the same supplier, or try a new one. Over the past two years CADDi has broadened this into a full "AI data platform for manufacturing" that integrates CAD files, ERP data, and HR systems, joined now by CADDi Agent, an AI agent that handles part-standardization decisions and quality-impact assessments — analyzing how a given design change would affect performance and safety. Six additional "workflow" products target specific tasks; CADDi Design Review, for instance, automatically flags potential errors in new drawings and CAD models based on problems seen in similar past parts.

CEO and co-founder Yushiro Kato says CADDi uses its own proprietary AI model to analyze product data such as drawings and CAD files, while general-purpose LLMs handle documents and spreadsheets — "I've never seen anybody who uses LLMs to do design reviews because it doesn't understand drawings or CAD," he said. Customers now span 22 countries, with more than half of Japan's 100 largest manufacturers using CADDi, and revenue growing more than 100% year over year.

What this round signals

What it means for the agent ecosystem

A $114M Series D that more than doubled the company's valuation in six months is among the largest rounds in the vertical-industry AI data platform category right now. The capital is earmarked clearly: expanding the product lineup, building AI models that understand manufacturing-specific data like 3D CAD files and 2D drawings, global expansion centered on North America, and hiring. CADDi frames its own mission around what it calls the "physical bottleneck" — AI capability keeps compounding, yet almost nothing in the physical world has changed since ChatGPT arrived. A team can spin up an e-commerce site in hours, but developing a new car still takes about four years from planning to delivery. CADDi's bet is that unless that physical-world cycle time is broken, AI's upside gets diluted no matter how fast the thinking gets.

What investors are betting on

This round had no single lead — eight new and existing investors joined together, mixing strategic backers (Toyota's Woven Capital, Salesforce Ventures, Recruit's HR Tech Fund) with financial ones (Moore Strategic Ventures, Atomico). Strategic participation like this usually means industry incumbents already treat CADDi as infrastructure for their own supply-chain digitization, not just a financial bet. CADDi employs more customer-success staff than salespeople and has started hiring "forward deployed engineers" to help customers operationalize the platform — a playbook reminiscent of Palantir's early enterprise push: the value isn't the software license, it's embedding deep enough in a customer's organization to digitize its "veteran know-how," and that kind of stickiness is exactly what keeps financial investors piling in after a valuation has already doubled.

Numbers worth watching

  • Valuation jumped from $470M (March 2025) to $1.2B (September 2026), a 2.55x increase in six months — faster than the typical annualized pace of a late-stage growth round
  • Headcount grew from 600 (early 2025) to about 900, showing this is a business built on labor-intensive customer success and field deployment, not a purely light-touch software model
  • Penetration exceeds 50% among Japan's top 100 manufacturers, with customers across 22 countries — evidence of a company that proved itself at home before pushing into North America as its next core market

Watchlist status

CADDi is not yet tracked in the watchlist. Recommend adding it under section D9 (Industrial / Manufacturing / Supply Chain), with tracking focus on: the manufacturing AI data platform plus CADDi Agent's standardization decisions, a $114M Series D, and a $1.2B valuation.

Today's takeaway

The usual "agents replacing knowledge work" story assumes the knowledge already exists as text or code that an LLM can ingest directly. CADDi's case points to a harder scenario: more than 80% of critical manufacturing knowledge — why a supplier was chosen, why a part was designed a particular way — was never written down at all; it only exists in veteran employees' heads. In that setting, an agent first has to be able to "read" non-textual data like drawings and CAD files before automation is even on the table — which is exactly why CADDi insists on building its own proprietary model instead of just layering a general-purpose LLM on top.

References