Archive
RapidCanvas has raised a $29 million Series B led by Vertex Ventures SEA & India to build custom enterprise AI applications and hire engineers across the U.S., Brazil, and India.
Naïve has successfully closed a Series A funding round, raising $28.5 million to advance its platform for automating business setup and management via AI agents.
A new venture studio, Inevitable AI Group, has raised $6 million in pre-seed funding to develop and launch numerous AI-native software companies.
The industrial energy company plans to manufacture more systems that store renewable electricity as high-temperature heat and dispatchable power.
The company is building managed tools for service providers that protect customers facing more sophisticated AI-enabled threats.
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 startup lets users schedule workflows and assign agents to tasks based on open tabs rather than targeting occasional consumer bookings.
The platform analyzes calls, messages and CRM outcomes to turn effective human techniques into reusable sales and support playbooks.
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 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 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 M13-led Series A backs a speech company betting that how a machine sounds decides whether a caller stays on the line.
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 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 open-model infrastructure company plans to expand training and inference services as enterprises seek alternatives to closed AI platforms.
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 hardware startup is betting that a simple recorder with free transcription can hold a place beside phones and software-only meeting assistants.
The AI testing company is moving beyond fixed benchmarks with models that generate changing environments for training and evaluation.
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 biotechnology company is advancing seven programs and plans to form focused affiliates as individual assets reach clinical milestones.
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 marketing measurement company brought Google, Meta, Moloco and Unity into a strategic financing that values the business at $2.7 billion.
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 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 Berkeley company will accelerate work on fault-tolerant machines while pursuing additional federal support for U.S. quantum infrastructure.
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 San Francisco and Tel Aviv company wants security agents to find and help fix software risks throughout the development lifecycle.
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 prompt-to-app startup says its community creates games, quizzes and interactive experiments at a rate of about one every half-second.
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 vertical software company is connecting agency data with AI workflows for policy checks, proposals and other document-heavy tasks.
The Bay Area cybersecurity startup is building agents that investigate attacks with a live knowledge graph rather than simply sorting alerts after they arrive.
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 satellite manufacturer is combining a Series E round with a credit facility as it expands production for commercial and government missions.
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 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 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 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 analytics startup is using strategic capital to expand software that lets employees ask questions across fragmented company data in ordinary language.
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 a16z-backed startup wants consumer businesses to move from dashboards and recommendations to actions tied to measurable financial results.
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 business-banking startup is expanding beyond its early base of online merchants as competition among fintech platforms accelerates.
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 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 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 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 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 San Jose startup is developing agentic cybersecurity software meant to connect defenses across corporate networks and operational technology.
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 Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
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.
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.
.jpg)
.jpg)
