Anthropic Opens a London Research Office as Europe Talent War Widens
The lab is the fourth US company to open a UK research base in eighteen months.
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The lab is the fourth US company to open a UK research base in eighteen months.
The San Francisco company is expanding autonomous teams that handle procurement, supplier coordination, invoices and payments for large enterprises.
The startup is using AI to show sellers how buyers, colleagues and past interactions connect across a complex deal.
Flat teams scaled well to fifty people. Past two hundred, the cracks are structural.
The Tel Aviv and San Francisco startup wants one continuously updated graph for employees, software accounts, service identities and AI agents.
The startup is adding automation to a data layer that connects the accounting, project and payment systems used by contractors.
The enterprise software startup is expanding an AI-native development platform built around requirements, oversight and audit trails.
The robotics startup introduced its first commercial hand and closed a seed round after settling a trade-secret dispute with Tesla.
The profitable software company plans to expand tools that help banks and governments investigate financial crime and third-party risk.
The healthcare startup is expanding AI agents from phone scheduling into a broader operating system for the patient journey.
Two former Anthropic and Google researchers launched the company at a $1 billion valuation with backing from Andreessen Horowitz, Kleiner Perkins and Nvidia.
The former Waymo engineer behind the startup is applying simulation and observability techniques to customer-facing AI systems.
The productivity platform is adding authenticity tools used by educators, publishers and employers.
The Palo Alto startup is using AI to help companies define specialized processors before the expensive physical design and manufacturing stages.
The San Francisco and Tel Aviv company wants security agents to find and help fix software risks throughout the development lifecycle.
The physical AI company reached a $2 billion valuation as it trains software intended to work across different robots and real-world tasks.
The $80 million to $90 million arrangement moves more than 20 employees without a formal company purchase.
The San Francisco startup is trying to replace disconnected sales tools with a system that carries context from prospecting through a closed deal.
The full-stack insurer is using AI across underwriting, policy administration and claims as it expands into additional commercial markets.
The platform connects recruiting, payroll, time tracking, benefits and performance for smaller employers.
The startup is beginning with autonomous road rollers that can be retrofitted onto machines already operating at construction sites.
The logistics technology company is broadening its platform from transportation payments into operational and financial decisions across the supply chain.
The marine robotics company is pairing underwater vehicles with surface vessels and launch systems for commercial and defense missions.
The Barcelona and San Francisco company is building a governed graph that lets employees, software and agents work from the same organizational knowledge.
The San Mateo startup is teaching software to connect drawings, specifications and other building documents before missing details become costly field problems.
The startup connects a visual design canvas directly to a product's codebase so teams can work from the same components and constraints.
The San Francisco company pairs software agents with growth specialists as brands adjust to search results shaped by traditional engines and AI answers.
The financing gives the San Francisco AI company an extraordinary capital base, while placing equal pressure on revenue growth, infrastructure execution and product focus.
The Mountain View robotics company reached a $1.15 billion valuation with a plan to begin real household deployments in the fall.
The Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
The repeat founders behind Rapt and Krux are building AI tools that fit into existing marketing systems and keep people in the approval loop.
The company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.