Modal Raises $750M Series D at $15.75B Valuation as Revenue Passes $1B
Developer cloud infrastructure provider Modal has raised $750 million in Series D funding at a $15.75 billion valuation, reporting that annual revenue has crossed $1 billion.
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Developer cloud infrastructure provider Modal has raised $750 million in Series D funding at a $15.75 billion valuation, reporting that annual revenue has crossed $1 billion.
The Palo Alto startup is expanding tools for creators and enterprises while facing the harder task of preventing unauthorized voice cloning.
The San Francisco and Tokyo company is developing low-latency speech models for Japanese, Korean and Chinese applications.
The biotechnology company is advancing seven programs and plans to form focused affiliates as individual assets reach clinical milestones.
The former Waymo engineer behind the startup is applying simulation and observability techniques to customer-facing AI systems.
The Berkeley company will accelerate work on fault-tolerant machines while pursuing additional federal support for U.S. quantum infrastructure.
The biotechnology company plans to move nonviral treatments for Duchenne muscular dystrophy and polycystic kidney disease toward clinical testing.
The longevity biotechnology company plans to move its first liver program toward human testing while expanding its discovery platform.
The startup is building a network that records first-person human activity, bringing privacy, consent and worker pay into the robotics data race.
The Palo Alto startup is commercializing infrastructure around a widely used open-source engine for running and serving advanced AI models.
The San Francisco startup wants to organize fragmented research and manufacturing data across semiconductors, batteries and advanced materials.
The San Francisco company reached a $1.5 billion valuation by combining chat, spreadsheets and code with a governed layer for company data.
The startup wants hardware makers to connect glasses, jewelry and home devices to models and multimodal services without building the entire stack.
The new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
The Mountain View startup is combining expert labor, evaluations and software infrastructure to improve AI systems after their initial training.
Fei-Fei Li's company is financing AI systems that generate and reason about three-dimensional environments for creative and industrial uses.