ChipAgents Adds $60 Million as AI Moves Deeper Into Semiconductor Design
The Silicon Valley startup says autonomous software agents can shorten expensive chip-development cycles, with verification emerging as an early target.
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The Silicon Valley startup says autonomous software agents can shorten expensive chip-development cycles, with verification emerging as an early target.
The San Francisco company is expanding autonomous teams that handle procurement, supplier coordination, invoices and payments for large enterprises.
Insight Partners is backing infrastructure that identifies the proxy networks and VPN services hiding automated users.
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 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 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 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 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 open-source database platform is financing faster growth as AI agents generate more applications and infrastructure demand.
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 San Francisco startup wants to turn logs, tool calls and user interactions into a continuous feedback system for agent developers.
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 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 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 new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
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 Barcelona and San Francisco company is building a governed graph that lets employees, software and agents work from the same organizational knowledge.
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 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 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 San Francisco startup is treating email as basic infrastructure for autonomous software that needs identity, context and two-way communication.
The Y Combinator company is targeting evidence collection and compliance work that still depends heavily on spreadsheets, tickets and manual review.
The Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
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 startup is building authorization and payment tools that let AI agents purchase APIs, data and computing services under defined controls.