ProfitCart to launch its first single-product e-commerce investment model app.
Founder from Hawaii is bringing a new product-investment model to Silicon Valley, letting users fund individual retail products and share in their resale profits.
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Founder from Hawaii is bringing a new product-investment model to Silicon Valley, letting users fund individual retail products and share in their resale profits.
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 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 financing will support World ID infrastructure, but the transaction is a crypto-token sale rather than a conventional venture equity round.
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 startup founded by former Ultrahuman hardware executive Apoorv Shankar is developing physical controls intended to direct AI agents.
The Tel Aviv and San Francisco startup wants one continuously updated graph for employees, software accounts, service identities and AI agents.
The molecular design startup reached a $3.8 billion valuation while expanding partnerships with major drugmakers.
The savings platform is expanding a membership that combines travel deals, cash back and financial tools for cost-conscious consumers.
The robotics startup introduced its first commercial hand and closed a seed round after settling a trade-secret dispute with Tesla.
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.
The former Waymo engineer behind the startup is applying simulation and observability techniques to customer-facing AI systems.
The semiconductor startup reached a $2 billion valuation and $500 million in total funding as it develops alternatives for connecting AI data centers.
The Stanford-founded startup plans to ship a wellness wristband that infers hormone patterns without blood draws while it pursues clinical validation.
The startup wants agents to own recurring business outcomes across existing applications instead of stopping after a single generated response.
The secretive company led by Jeff Bezos and Vik Bajaj is valued at $41 billion before revealing much about its technology or customers.
The Oakland company is building software to manage applications, participants, payments and reporting for programs serving communities.
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 Y Combinator startup is turning sketches and ideas into editable plans and three-dimensional views for homeowners and design professionals.
The startup is building a network that records first-person human activity, bringing privacy, consent and worker pay into the robotics data race.
The business-banking technology company is growing alongside a new wave of AI startups while pursuing approval for a national bank.
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 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 young San Francisco company is starting with an AI-assisted alternative to the configuration and approval systems used for complex deals.
The finance software startup is expanding AI agents that handle invoicing, reconciliation, collections and other repetitive cash workflows.
The San Francisco startup wants to organize fragmented research and manufacturing data across semiconductors, batteries and advanced materials.
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 San Francisco company more than doubled its valuation to $2.75 billion as it expanded from moving customer data to helping agents run campaigns.
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 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 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 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 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 startup is building software intended to let data-center networks adapt automatically to changing AI workloads.
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.
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 San Francisco software creation platform is expanding the idea that people can move from a natural-language prompt to a working, deployed application.
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 brain-computer interface company is preparing its PRIMA vision-restoration system for commercialization while funding a broader clinical pipeline.
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 Stanford-rooted startup wants digital populations to help organizations test decisions before they affect customers, workers or markets.
The company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.
The Mountain View company plans to expand domestic manufacturing and coordinate more residential batteries as electricity demand strains the grid.