Naïve Secures $28.5M to Streamline Business Operations through AI Automation
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.
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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.
The startup is applying automated document review to the permitting and regulatory work behind data centers and other large developments.
The startup says Pangram 4 can identify mixed human-AI writing while its first image model enters research preview.
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 AI chip startup plans to scale production and customer deployments as it builds specialized hardware for high-volume inference.
The model infrastructure company says annual recurring revenue has passed $1 billion as customers deploy more specialized AI systems.
The M13-led Series A backs a speech company betting that how a machine sounds decides whether a caller stays on the line.
The molecular design startup reached a $3.8 billion valuation while expanding partnerships with major drugmakers.
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 startup plans parking-space-sized pods that can inspect, clean and charge autonomous vehicles inside their operating areas.
The AI testing company is moving beyond fixed benchmarks with models that generate changing environments for training and evaluation.
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 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 Palo Alto startup is using AI to help companies define specialized processors before the expensive physical design and manufacturing stages.
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 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 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.
The San Francisco startup reached a $2.2 billion valuation by selling web search and content retrieval directly to software developers.
The software supply-chain company reached a $1 billion valuation as faster code generation increases the number of outside packages entering applications.
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 Palo Alto startup is commercializing infrastructure around a widely used open-source engine for running and serving advanced AI models.
The company reached a $2 billion valuation as it expands tools that help automated systems search, retrieve and organize online information.
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 San Francisco mobility company is preparing pilot networks that place small autonomous vehicles on narrow, reserved lanes.
The Santa Clara startup is combining navigation, communications and computing functions in silicon intended for drones and robots.
The company is assembling distributed GPU capacity into a platform that lets developers choose models, hardware and deployment locations.
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 financing gives the San Francisco AI company an extraordinary capital base, while placing equal pressure on revenue growth, infrastructure execution and product focus.
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 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 Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
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 startup is building authorization and payment tools that let AI agents purchase APIs, data and computing services under defined controls.