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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 Silicon Valley startup says autonomous software agents can shorten expensive chip-development cycles, with verification emerging as an early target.
The Santa Clara startup is building chiplet and licensing technology designed to move data faster between AI processors, memory and networking systems.
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.
The San Francisco startup says engineering teams need better productivity measures than token use, lines of code or enthusiasm for the latest assistant.
The chipmaker's strategic partnership with Ilya Sutskever's research lab couples new capital with access to Vera Rubin computing systems.
The San Francisco startup turns television, radio, podcasts and livestreams into searchable signals for companies that need faster narrative tracking.
The financing will support World ID infrastructure, but the transaction is a crypto-token sale rather than a conventional venture equity round.
The AI chip startup plans to scale production and customer deployments as it builds specialized hardware for high-volume inference.
The Palo Alto and Tel Aviv company reached a $1.2 billion valuation with a prevention-focused approach to securing devices used for AI work.
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 linguistics-led startup is training speech systems to handle specialized vocabulary, varied accents and real-time customer conversations.
The Tel Aviv and San Francisco startup wants one continuously updated graph for employees, software accounts, service identities and AI agents.
The Kubernetes management company added Goldman Sachs and strategic investors as businesses move AI systems from pilots into production.
The molecular design startup reached a $3.8 billion valuation while expanding partnerships with major drugmakers.
The business finance platform reached a reported valuation near $1.2 billion and launched a global product using stablecoin payment rails.
The company behind a widely used local AI tool is adding resources for enterprise adoption while keeping its open-source distribution engine.
The startup is adding automation to a data layer that connects the accounting, project and payment systems used by contractors.
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 hardware startup is betting that a simple recorder with free transcription can hold a place beside phones and software-only meeting assistants.
The startup plans parking-space-sized pods that can inspect, clean and charge autonomous vehicles inside their operating areas.
The profitable software company plans to expand tools that help banks and governments investigate financial crime and third-party risk.
The AI testing company is moving beyond fixed benchmarks with models that generate changing environments for training and evaluation.
The healthcare startup is expanding AI agents from phone scheduling into a broader operating system for the patient journey.
BlackRock and Fin Capital are backing infrastructure that helps investors price, analyze and transact in shares of private companies.
The San Francisco and Tokyo company is developing low-latency speech models for Japanese, Korean and Chinese applications.
The startup is creating its own crawler, index and retrieval models for software that asks longer questions and consumes structured results.
The Oakland company is expanding technology that structures fragmented patient information for clinical care, research and regulatory evidence.
Two former Anthropic and Google researchers launched the company at a $1 billion valuation with backing from Andreessen Horowitz, Kleiner Perkins and Nvidia.
The company is building software that continually personalizes campaigns, tests changes and adjusts marketing decisions across customer channels.
The former Waymo engineer behind the startup is applying simulation and observability techniques to customer-facing AI systems.
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 Palo Alto startup is using AI to help companies define specialized processors before the expensive physical design and manufacturing stages.
The San Francisco startup is investing in its own speech models and the infrastructure required to run large volumes of automated business calls.
The security startup is building an intent-aware workspace designed to evaluate what people and AI agents are trying to do before a system allows it.
The startup is building validation software that checks model responses before errors reach users in high-precision workflows.
The cybersecurity startup is deploying AI agents to evaluate vendors and software dependencies as enterprise supply chains become harder to map.
The secretive company led by Jeff Bezos and Vik Bajaj is valued at $41 billion before revealing much about its technology or customers.
The open-source database platform is financing faster growth as AI agents generate more applications and infrastructure demand.
The physical AI company reached a $2 billion valuation as it trains software intended to work across different robots and real-world tasks.
The prompt-to-app startup says its community creates games, quizzes and interactive experiments at a rate of about one every half-second.
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 maker of Devin says enterprise usage is climbing as software teams give cloud agents a larger share of development work.
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 San Francisco startup reached a $2.2 billion valuation by selling web search and content retrieval directly to software developers.
The business-banking technology company is growing alongside a new wave of AI startups while pursuing approval for a national bank.
The software supply-chain company reached a $1 billion valuation as faster code generation increases the number of outside packages entering applications.
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 company founded by Rivian CEO RJ Scaringe has now raised more than $1 billion for industrial robots trained in live manufacturing environments.
The vertical software company is connecting agency data with AI workflows for policy checks, proposals and other document-heavy tasks.
The San Francisco startup wants to turn logs, tool calls and user interactions into a continuous feedback system for agent developers.
The San Francisco startup is trying to replace disconnected sales tools with a system that carries context from prospecting through a closed deal.
The finance software startup is expanding AI agents that handle invoicing, reconciliation, collections and other repetitive cash workflows.
The full-stack insurer is using AI across underwriting, policy administration and claims as it expands into additional commercial markets.
The Palo Alto startup is commercializing infrastructure around a widely used open-source engine for running and serving advanced AI models.
The San Francisco startup wants to organize fragmented research and manufacturing data across semiconductors, batteries and advanced materials.
The customer-experience software company is valued above $15 billion as it races to make AI agents a standard interface for large brands.
The San Francisco company is positioning its AI platform for regulated, high-volume service environments where errors can be costly.
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 company reached a $2 billion valuation as it expands tools that help automated systems search, retrieve and organize online information.
The startup is training a foundation model called Fury to control unmanned vehicles across changing military environments.
The San Francisco company reached a $1.5 billion valuation by combining chat, spreadsheets and code with a governed layer for company data.
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 startup is beginning with autonomous road rollers that can be retrofitted onto machines already operating at construction sites.
The new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
The React Native platform is expanding from developer infrastructure into AI-assisted work that helps enterprise teams move from an idea to a shipped application.
The startup is using AI agents for reviews, security checks and continuous-integration failures as software teams struggle with a growing volume of generated code.
The company is assembling distributed GPU capacity into a platform that lets developers choose models, hardware and deployment locations.
The phone-automation startup says contact-center operators invested alongside venture firms after deploying its agents in live customer service work.
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 is building software intended to let data-center networks adapt automatically to changing AI workloads.
The startup is using conversational agents to conduct structured phone interviews and turn long-form responses into research data.
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 Brussels and San Francisco startup wants nontechnical employees to deploy agents across existing systems without giving up enterprise controls.
Former Atlassian CTO Sri Viswanath is building a control layer for companies that want autonomous agents without giving up security, governance or oversight.
The Mountain View startup is combining expert labor, evaluations and software infrastructure to improve AI systems after their initial training.
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 startup combines AI agents with human media experts to turn sales conversations and customer data into targeted campaigns.
The startup wants employees to direct business software through natural language while agents work across data and applications.
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 startup formerly known as mcp-use is turning an open-source toolkit into a managed platform for deploying the connectors used by AI applications.
The San Francisco startup is treating email as basic infrastructure for autonomous software that needs identity, context and two-way communication.
The Dublin, California semiconductor company plans to commercialize a component that moves power vertically toward high-performance processors.
The Santa Clara company reached a $4.2 billion valuation as large AI systems create demand for faster, more flexible connections between processors.
The Y Combinator company is targeting evidence collection and compliance work that still depends heavily on spreadsheets, tickets and manual review.
The semiconductor startup is moving its co-packaged optics technology toward volume production as data centers demand faster, more efficient connections.
The startup is selling an operated support function rather than software alone, putting automation performance directly on its own team.
The Palo Alto AI infrastructure company will use the capital to expand its SN50 chip and SambaCloud platform as demand grows for alternatives in inference computing.
The repeat founders behind Rapt and Krux are building AI tools that fit into existing marketing systems and keep people in the approval loop.
Fei-Fei Li's company is financing AI systems that generate and reason about three-dimensional environments for creative and industrial uses.
The durable-computing company reached a $5 billion valuation as enterprises look for infrastructure that can keep long-running AI work on track.
The Series C extension values the developer platform at $1.5 billion as more teams need persistent infrastructure for applications and agents.
The observability startup reached an $800 million valuation as companies seek better ways to test and improve applications built on language models.
The Mission Bay startup is building laboratory systems that use living neurons for AI workloads, an ambitious alternative to conventional silicon.
The Stanford-rooted startup wants digital populations to help organizations test decisions before they affect customers, workers or markets.
The voice platform is expanding through software and telecom partners that can distribute automated front-desk service at scale.
The company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.
The startup is building authorization and payment tools that let AI agents purchase APIs, data and computing services under defined controls.
Alphabet's robotaxi company is financing a major expansion as autonomous ride-hailing moves from limited deployments toward a broader transportation network.
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