Databricks Reaches $190 Billion Valuation in New $5 Billion Funding Round
Databricks has raised $5 billion at a $190 billion valuation, bolstering its balance sheet to expand enterprise artificial intelligence products as revenue growth exceeds 80%.
Archive
Databricks has raised $5 billion at a $190 billion valuation, bolstering its balance sheet to expand enterprise artificial intelligence products as revenue growth exceeds 80%.
The Palo Alto startup is expanding tools for creators and enterprises while facing the harder task of preventing unauthorized voice cloning.
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 and Tokyo company is developing low-latency speech models for Japanese, Korean and Chinese applications.
The AI infrastructure company is using its fourth financing in 18 months to expand model inference services for enterprise customers.
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 software supply-chain company reached a $1 billion valuation as faster code generation increases the number of outside packages entering applications.
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 Barcelona and San Francisco company is building a governed graph that lets employees, software and agents work from the same organizational knowledge.
The financing gives the San Francisco AI company an extraordinary capital base, while placing equal pressure on revenue growth, infrastructure execution and product focus.
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 Santa Clara company reached a $4.2 billion valuation as large AI systems create demand for faster, more flexible connections between processors.
The durable-computing company reached a $5 billion valuation as enterprises look for infrastructure that can keep long-running AI work on track.
The observability startup reached an $800 million valuation as companies seek better ways to test and improve applications built on language models.