The Early Scale: Simile raises $200M at $2B valuation to predict human behavior before AI gets it wrong

The lead

AI capital is moving fast, and the infrastructure race is getting loud. Four major funding rounds closed in late July, Emerson and Mitsubishi are embedding AI directly into factory hardware, and B2B ecommerce is rewriting how industrial distributors sell. A lot is happening at once. Here's what actually matters for your business.

The Big Three

Simile raises $200M at $2B valuation to predict human behavior before AI gets it wrong

Just five months after closing a $100M Series A, behavioral AI startup Simile has raised a $200M Series B at a $2B valuation, according to Tech Funding News. The company trains models to anticipate what humans will do next, a capability increasingly in demand as enterprises deploy AI agents that need to account for human decision-making. Eliyan also closed a $145M Series C at a $1B valuation on the chip interconnect side, signaling that both the software and silicon layers of enterprise AI infrastructure are attracting serious capital.

The B2B angle: If you're evaluating AI vendors for workflow automation, behavioral prediction capabilities are becoming a real differentiator, not a feature roadmap promise; ask your vendors where that sits.

B2B ecommerce is eating industrial sales faster than most distributors are ready for

Digital Commerce 360 reports that Fastenal's digital sales continued to climb in Q2, Bero is leaning on ecommerce tech and customer relationships to grow B2B revenue, and Nissin Foods USA is overhauling its supply chain with AI-powered tools. The through-line: industrial buyers are demanding digital-first purchasing, and distributors still relying on rep-driven, phone-and-email sales cycles are losing ground. Forbes Advisor data puts global B2B ecommerce above $18 trillion, making this the largest commercial channel most legacy distributors still underinvest in.

The B2B angle: Distributors and manufacturers without a self-serve digital ordering portal are not competing on a level field; Q3 is the time to audit your digital sales stack before year-end budgets close.

Emerson, FOBA, and Mitsubishi Electric signal a new wave of purpose-built industrial AI deployments

Three major manufacturers announced purpose-built AI integrations this week, with Emerson deploying autonomous AI agents for fault detection in industrial automation systems, FOBA unveiling AI-enhanced laser workstations ahead of IMTS 2026, and Mitsubishi Electric establishing a US manufacturing facility for IT cooling equipment, according to Industry USA. This is not pilot-program AI; these are production deployments embedded directly in automation hardware. The shift matters because it changes the vendor conversation from software add-on to hardware specification.

The B2B angle: Procurement teams buying automation equipment in 2027 will need to specify AI capability requirements the same way they currently specify tolerances; start building that checklist now.

Also worth knowing

UPS raised its full-year outlook after Q2 revenue climbed, telling investors its restructuring is complete. The Wall Street Journal reports the carrier deliberately shed roughly half its Amazon volume to free up network capacity for higher-margin customers. The lesson for B2B shippers: UPS is explicitly repositioning toward enterprise clients, which means leverage in contract negotiations may be shifting back to large shippers for the first time in years.

Nvidia's China AI chip market share is forecast to collapse from 40% to 8% in 2026 as Huawei scales domestic alternatives, according to Bernstein projections cited by Fast Company. For global supply chain and procurement leaders, this is not just a geopolitical story: if you have China-based operations that depend on Nvidia silicon, you need a sourcing contingency plan before that share shift completes.

The 2026 CMO Survey finds AI adoption rising faster than team readiness, while CMOs are narrowing marketing's scope to manage short-term pressure from CFOs and boards. The risk: teams cutting brand investment to protect demand gen metrics right before AI changes how buyers discover vendors entirely. B2B marketers should be running the other direction.

Smart plays for the week

Audit your B2B sales channel for digital gaps this week: map every step a buyer takes from discovery to purchase order and flag any step that still requires a human touchpoint to complete. Digital Commerce 360's reporting on Fastenal, Bero, and Nissin Foods confirms that industrial buyers are already choosing digital-first vendors; a self-serve gap in your funnel is actively losing you deals right now.

If your company has China-based manufacturing or tech operations that touch Nvidia hardware, schedule a sourcing risk review with your procurement lead before Q3 closes. Bernstein projects Nvidia's China AI chip share will fall from 40% to 8% in 2026 as Huawei scales, and supply disruptions from that share shift could hit China-dependent operations with little warning.

B2B marketers: run a prompt audit this week by querying ChatGPT, Perplexity, and Google's AI Overviews for the top five buyer questions in your category and see whether your brand appears in the answers. The 2026 CMO Survey shows AI adoption outpacing team readiness, and as B2B tech PR firms race to build GEO practices, brands that start measuring LLM citation share now will have a structural advantage over those that wait.

Something to think about

HBR's piece on how AI is changing vendor discovery is a clean statement of what every B2B marketer is circling around: if your brand is not surfacing in AI-generated answers, you are not in the consideration set. That is not a future problem. It is a current one.

Teach me something: Generative Engine Optimization (GEO)

SEO taught you how to rank on Google. GEO is the emerging discipline of getting your brand cited by AI systems like ChatGPT, Perplexity, and Google's AI Overviews when buyers ask them questions. Instead of optimizing for keyword rankings and backlinks, GEO focuses on structured, authoritative content that large language models are likely to surface as a trusted answer. As enterprise B2B buyers increasingly query AI before shortlisting vendors, LLM citation share is becoming a meaningful proxy for top-of-funnel visibility. B2B tech PR agencies are already pitching it as a billable practice, which usually means the market has decided it matters.