Archive
Investors are pouring record amounts into the companies building the data, chips, and software powering the next phase of artificial intelligence. The scale of the buildout is now rewriting how private markets price risk.
The industrial energy company plans to manufacture more systems that store renewable electricity as high-temperature heat and dispatchable power.
The Silicon Valley startup says autonomous software agents can shorten expensive chip-development cycles, with verification emerging as an early target.
The Palo Alto startup is expanding tools for creators and enterprises while facing the harder task of preventing unauthorized voice cloning.
The chipmaker's strategic partnership with Ilya Sutskever's research lab couples new capital with access to Vera Rubin computing systems.
The AI chip startup plans to scale production and customer deployments as it builds specialized hardware for high-volume inference.
The young fintech company wants autonomous software to pay vendors while businesses retain policy controls and an auditable record.
The model infrastructure company says annual recurring revenue has passed $1 billion as customers deploy more specialized AI systems.
The startup founded by former Ultrahuman hardware executive Apoorv Shankar is developing physical controls intended to direct AI agents.
The open-model infrastructure company plans to expand training and inference services as enterprises seek alternatives to closed AI platforms.
The San Francisco startup is building real-time fluid sensors for computing systems that increasingly depend on liquid rather than air to control heat.
The robotics startup introduced its first commercial hand and closed a seed round after settling a trade-secret dispute with Tesla.
The startup is creating its own crawler, index and retrieval models for software that asks longer questions and consumes structured results.
Two former Anthropic and Google researchers launched the company at a $1 billion valuation with backing from Andreessen Horowitz, Kleiner Perkins and Nvidia.
The AI infrastructure company is using its fourth financing in 18 months to expand model inference services for enterprise customers.
The chip company is rebuilding and scaling its cloud business after a major licensing and talent agreement with Nvidia.
The semiconductor startup reached a $2 billion valuation and $500 million in total funding as it develops alternatives for connecting AI data centers.
The Berkeley company will accelerate work on fault-tolerant machines while pursuing additional federal support for U.S. quantum infrastructure.
The startup is building validation software that checks model responses before errors reach users in high-precision workflows.
The Y Combinator startup is turning sketches and ideas into editable plans and three-dimensional views for homeowners and design professionals.
The Claude developer secured one of the largest private financings ever as demand for enterprise AI and computing capacity continues to climb.
The startup is building a network that records first-person human activity, bringing privacy, consent and worker pay into the robotics data race.
Brett Adcock's new lab reached a $6 billion post-money valuation before releasing its first products to the public.
The Mountain View healthcare technology company is expanding AI systems for revenue, clinical documentation and practice operations.
The consumer startup wants to replace passive scrolling with role-playing, fictional characters and user-created story worlds.
Richard Socher's new laboratory is pursuing AI systems that can improve their own research process, backed at a reported $4.65 billion valuation.
The Palo Alto startup is commercializing infrastructure around a widely used open-source engine for running and serving advanced AI models.
The six-person startup is training AI to learn digital tasks from video, with efficiency and safety becoming the key tests for its approach.
The startup is training a foundation model called Fury to control unmanned vehicles across changing military environments.
The startup wants hardware makers to connect glasses, jewelry and home devices to models and multimodal services without building the entire stack.
The autonomous drone maker reached a $4.4 billion valuation as it increases production for defense, public safety and infrastructure customers.
The new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
The company is assembling distributed GPU capacity into a platform that lets developers choose models, hardware and deployment locations.
The San Mateo startup is teaching software to connect drawings, specifications and other building documents before missing details become costly field problems.
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 San Jose chip startup is betting that a shorter, vertical path for electricity can remove a growing bottleneck inside high-performance AI systems.
The startup is building an AI memory that reads on-screen text, prepares meeting notes and retrieves information from a user's daily work.
The Mountain View robotics company reached a $1.15 billion valuation with a plan to begin real household deployments in the fall.
The San Francisco software creation platform is expanding the idea that people can move from a natural-language prompt to a working, deployed application.
The brain-computer interface company is preparing its PRIMA vision-restoration system for commercialization while funding a broader clinical pipeline.
The semiconductor startup is moving its co-packaged optics technology toward volume production as data centers demand faster, more efficient connections.
The Series C extension values the developer platform at $1.5 billion as more teams need persistent infrastructure for applications and agents.
The Mission Bay startup is building laboratory systems that use living neurons for AI workloads, an ambitious alternative to conventional silicon.
The company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.
The company founded by former Waymo leaders is moving its self-driving system from supervised job sites toward operator-less heavy equipment.
