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Smaller items this week were about how companies keep and connect the records they already have: a startup mapping what company data means, legal holds in self-hosted software and a shipping audit that keeps the whole record.

Three companies put figures this week on knowledge that businesses already hold. On Tuesday, Ellie Krupnick (Fortune) reported that investors including Woven Capital, Toyota's growth fund, and Salesforce Ventures had put $114 million into CADDi, a Tokyo- and Chicago-based company whose software searches a manufacturer's own drawings, purchase records and defect histories, at a $1.2 billion valuation. (Fortune, Sep 15)

What's new: Companies have long treated old drawings, stored boxes and chat archives as a storage cost, and expertise as something that leaves when people do. This week an investor round, a storage company and a data buyer each priced that material as an asset. For a company, the question moves from whether it has the knowledge to whether the knowledge is written down in a form software can search, sell or hand on.

By the numbers: Iron Mountain, the records storage company, told investors at a Goldman Sachs conference last week that digitization projects can begin with physical material it already stores for its 245,000 business customers, then move onto its DXP software platform. Chief Financial Officer Barry Hytinen said the digital business grew 20% in the most recent quarter. (MarketBeat, Sep 14)

Between the lines: A third kind of buyer wants company archives for AI training. Micro1, which supplies training data to AI developers, made its disclosure in support of a $12.5 million offer for Spirit Airlines' email and chat archive, which the previous issue covered. SimpleClosure, a company that helps startups shut down, said on September 3 that its marketplace now accepts listings from companies that are still operating. (Fortune, Sep 14)

The largest of the three figures rests on a factory's own history. CADDi Design Review, one of six products CADDi says are built partly to capture what experienced engineers know, 'flags potential errors in new drawings and CAD models based on past problems with similar parts.' CEO Yushiro Kato told Fortune that most of the knowledge behind manufacturing work, including 'why a company chose a particular supplier or designed a part in a particular way, is never recorded anywhere.' Kato declined to disclose revenue or customer counts. (Fortune, Sep 15)

Why it matters: Software can only search, sell or hand on what exists as a record. Devin Bhushan, founder of Squint, which makes software for factory floors, told PYMNTS that at his industrial customers 'there was a lot of stuff that was in people's heads that had never been documented.' Squint says its tool for analyzing a production line only suggests changes. A plant manager accepts, changes or rejects each one. (PYMNTS, Sep 11)

Yes, but: Even a well-run plant can keep records that leave out how each problem was fixed. David Johnson, Nissan's senior vice president for manufacturing and supply chain management, said in a talk posted on September 10 by MIT's Machine Intelligence for Manufacturing and Operations program that Nissan's Inspect system logs every issue from stamping to the end of the line, but doesn't record in a standard way how each one was resolved. He called that record 'our best source of data moving forward.' (MIT MIMO, Sep 10)

The opening: The companies with the most to gain are those whose records already explain why things were done. Ken Hara, a partner at Coreline Ventures, which joined CADDi's round, said 'AI only delivers where a data layer and a semantic layer already exist.' (Business Wire, Sep 16) A manufacturer that never wrote down why its parts look the way they do has nothing for search software to find, and nothing for a data buyer to pay for.

A company's memory includes the copies its software vendors keep. In June, Anthropic, the maker of the Claude models, gave itself the right to retain customer usage logs for 30 days for its most capable models, including Fable, 'and up to two years if its safety systems flag them.' On Monday, Laura Bratton and Aaron Holmes (The Information) reported that Nvidia, Booz Allen Hamilton and Palantir were limiting where Fable may be used as a result. (PYMNTS, Sep 15)

What's new: Enterprise buyers have long chosen models mainly on capability, speed and price. These buyers are limiting a frontier model over what its maker keeps, and PYMNTS reports that 'data retention terms are becoming as decisive as model performance in determining which AI systems large enterprises deploy.' For a company, who holds the copy of its work is now a buying criterion of its own.

Why it matters: The objections are about each company's own work product. Bill Vass, chief technology officer of Booz Allen, said 'we worry a little bit that [Fable] might be learning from some of our code,' and added that the concern covers a small share of the firm's work. Justin Boitano, Nvidia's vice president of enterprise AI, said zero data retention 'should be on by default.' Nvidia, an Anthropic investor, uses its own Nemotron models for sensitive work such as supply chain monitoring, according to the report. Anthropic and OpenAI both say they don't train on enterprise customer content by default.

Between the lines: Anthropic had already changed course. On September 1 it announced Enterprise Frontier Safeguards, under which customers keep retained data in their own cloud under their own encryption keys while Anthropic's automated misuse detection keeps running, and the customer's security team reviews anything flagged. (Anthropic, Sep 1) Customers still have to apply for zero data retention, and the announcement says it is rolling out in phases. (The Register, Sep 2)

The opening: Retention terms are now something vendors sell. Salesforce launched AIforce on Tuesday with zero data retention for frontier models as a listed feature. (Constellation Research, Sep 15) A US utility told the article it dropped a planned test of Fable on core power systems over the same assurance, while still using Anthropic for finance and human resources work. WitnessAI, a company that sells AI governance software, says a company 'remains responsible for governing that data even when it is retained by an AI vendor.' (WitnessAI, Sep 8)

Edward Jones, the brokerage firm, released research on Monday that puts a number on a gap across the advice business. Nearly all of the advisors Morning Consult surveyed for it said succession planning matters, but 'only 42% have a fully documented, legally formalized plan in place.' (PR Newswire, Sep 14)

What's new: Advisors have been warned about succession for years. This survey puts figures on both sides of the handoff: 58% of the advisors surveyed lack a fully documented, legally formalized plan, and most junior advisors want to buy a practice. What changes hands is the client history, so how well that history is written down affects what a buyer actually gets.

Why it matters: Advisors hand on client relationships, and the history behind each one often lives with the advisor. Writing about another relationship business on Thursday, Aine Creedon (Nonprofit Quarterly) said that when an experienced fundraiser leaves, the organization 'loses years of accumulated knowledge about donors, institutional history, and relationships that may have taken years to develop.' (Nonprofit Quarterly, Sep 17)

The opening: The buyers are there. The survey found that '86% of junior financial advisors are interested in acquiring or inheriting an established practice.' Jason Henderson, who heads financial advisor recruiting at Edward Jones, said advisors 'know succession planning matters, but aren't doing enough about it.' Edward Jones recruits advisors, so it has a stake in the finding.

Between the lines: Much of the record a successor needs sits in software the advisor already uses. Wealthbox, which makes client-management software for advisors, said on Monday it is a launch partner for Anthropic's Claude for Financial Advisors, and its CEO, John Rourke, said 'advisors have spent years building deep client context in Wealthbox.' (Wealthbox, Sep 14) Alpha FMC, a consultancy, wrote that when a senior hire leaves, 'the context that only ever existed in their inbox and notes leaves with them.' (Alpha FMC, Sep 16)

This magazine, and all the magazines in the Humanity Labs AI Magazine series, were created using Hawkeye, an AI system built for people who work in fields too large and too fast-moving to keep on top of alone.

Every week Hawkeye reads thousands of items across mainstream press, trade publications, government records, vendor announcements and company newsletters, then clusters them to find the themes that are actually emerging rather than the ones already being discussed.

For this issue the consideration set ran to roughly 100 candidate items across seven source classes: journalism, vendor and company announcements, practitioner publications, court filings, government records, registries and event programs. A first draft was written with Claude Opus, checked against primary sources, and edited by Marshall Kirkpatrick.

Where a claim rests on a company's account of its own product, this magazine says so on the page.