Fireworks AI Raises $1.505 Billion at a $17.5 Billion Valuation
The model infrastructure company says annual recurring revenue has passed $1 billion as customers deploy more specialized AI systems.
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The model infrastructure company says annual recurring revenue has passed $1 billion as customers deploy more specialized AI systems.
The startup is creating its own crawler, index and retrieval models for software that asks longer questions and consumes structured results.
The chip company is rebuilding and scaling its cloud business after a major licensing and talent agreement with Nvidia.
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 secretive company led by Jeff Bezos and Vik Bajaj is valued at $41 billion before revealing much about its technology or customers.
The open-source database platform is financing faster growth as AI agents generate more applications and infrastructure demand.
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 startup is building software intended to let data-center networks adapt automatically to changing AI workloads.
Former Atlassian CTO Sri Viswanath is building a control layer for companies that want autonomous agents without giving up security, governance or oversight.
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 Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
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 company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.