Weave Raises $13.5 Million to Measure the Return on AI Coding Tools
The San Francisco startup says engineering teams need better productivity measures than token use, lines of code or enthusiasm for the latest assistant.
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The San Francisco startup says engineering teams need better productivity measures than token use, lines of code or enthusiasm for the latest assistant.
The San Francisco startup turns television, radio, podcasts and livestreams into searchable signals for companies that need faster narrative tracking.
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 molecular design startup reached a $3.8 billion valuation while expanding partnerships with major drugmakers.
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 AI testing company is moving beyond fixed benchmarks with models that generate changing environments for training and evaluation.
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 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.
Brett Adcock's new lab reached a $6 billion post-money valuation before releasing its first products to the public.
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 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 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.
Former Atlassian CTO Sri Viswanath is building a control layer for companies that want autonomous agents without giving up security, governance or oversight.
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 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.