Archive
CADDi has secured $114 million in Series D funding at a $1.2 billion valuation, expanding its enterprise platform that utilizes artificial intelligence to organize engineering and production data for manufacturers.
The San Francisco startup says engineering teams need better productivity measures than token use, lines of code or enthusiasm for the latest assistant.
The Palo Alto startup is expanding tools for creators and enterprises while facing the harder task of preventing unauthorized voice cloning.
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 Kubernetes management company added Goldman Sachs and strategic investors as businesses move AI systems from pilots into production.
The company behind a widely used local AI tool is adding resources for enterprise adoption while keeping its open-source distribution engine.
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 enterprise software startup is expanding an AI-native development platform built around requirements, oversight and audit trails.
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.
The San Francisco and Tokyo company is developing low-latency speech models for Japanese, Korean and Chinese applications.
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 startup wants agents to own recurring business outcomes across existing applications instead of stopping after a single generated response.
The agentic workspace company added $100 million and appointed a chief revenue officer as it pursues larger business customers.
The San Francisco startup is investing in its own speech models and the infrastructure required to run large volumes of automated business calls.
The startup is building validation software that checks model responses before errors reach users in high-precision workflows.
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 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 maker of Devin says enterprise usage is climbing as software teams give cloud agents a larger share of development work.
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 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 San Francisco startup wants to turn logs, tool calls and user interactions into a continuous feedback system for agent developers.
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 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 San Francisco company reached a $1.5 billion valuation by combining chat, spreadsheets and code with a governed layer for company data.
The analytics startup is using strategic capital to expand software that lets employees ask questions across fragmented company data in ordinary language.
The a16z-backed startup wants consumer businesses to move from dashboards and recommendations to actions tied to measurable financial results.
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 San Francisco company pairs software agents with growth specialists as brands adjust to search results shaped by traditional engines and AI answers.
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 Mountain View startup is combining expert labor, evaluations and software infrastructure to improve AI systems after their initial training.
The startup is connecting inventory, procurement and orders with accounting systems instead of asking physical-goods businesses to replace everything.
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 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 durable-computing company reached a $5 billion valuation as enterprises look for infrastructure that can keep long-running AI work on track.
The observability startup reached an $800 million valuation as companies seek better ways to test and improve applications built on language models.
The company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.
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