Natural Raises $30 Million to Build Payment Rails for AI Agents
The young fintech company wants autonomous software to pay vendors while businesses retain policy controls and an auditable record.
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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 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 San Francisco startup is building real-time fluid sensors for computing systems that increasingly depend on liquid rather than air to control heat.
The enterprise software startup is expanding an AI-native development platform built around requirements, oversight and audit trails.
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 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 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 consumer startup wants to replace passive scrolling with role-playing, fictional characters and user-created story worlds.
The Palo Alto startup is commercializing infrastructure around a widely used open-source engine for running and serving advanced AI models.
The autonomous drone maker reached a $4.4 billion valuation as it increases production for defense, public safety and infrastructure customers.
The startup is building software intended to let data-center networks adapt automatically to changing AI workloads.
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 wants employees to direct business software through natural language while agents work across data and applications.
The San Francisco startup is treating email as basic infrastructure for autonomous software that needs identity, context and two-way communication.
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 Stanford-rooted startup wants digital populations to help organizations test decisions before they affect customers, workers or markets.