The Series A Bar Has Moved Again
Investors now want $2.5 million in recurring revenue and evidence of durable retention.
Archive
Investors now want $2.5 million in recurring revenue and evidence of durable retention.
The chipmaker's strategic partnership with Ilya Sutskever's research lab couples new capital with access to Vera Rubin computing systems.
The AI chip startup plans to scale production and customer deployments as it builds specialized hardware for high-volume inference.
The model infrastructure company says annual recurring revenue has passed $1 billion as customers deploy more specialized AI systems.
The Tel Aviv and San Francisco startup wants one continuously updated graph for employees, software accounts, service identities and AI agents.
The AI testing company is moving beyond fixed benchmarks with models that generate changing environments for training and evaluation.
The San Francisco and Tokyo company is developing low-latency speech models for Japanese, Korean and Chinese applications.
The startup is creating its own crawler, index and retrieval models for software that asks longer questions and consumes structured results.
The Berkeley company will accelerate work on fault-tolerant machines while pursuing additional federal support for U.S. quantum infrastructure.
The San Francisco startup is investing in its own speech models and the infrastructure required to run large volumes of automated business calls.
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 San Francisco startup wants to turn logs, tool calls and user interactions into a continuous feedback system for agent developers.
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.
The San Jose chip startup is betting that a shorter, vertical path for electricity can remove a growing bottleneck inside high-performance AI systems.
The Palo Alto AI infrastructure company will use the capital to expand its SN50 chip and SambaCloud platform as demand grows for alternatives in inference computing.
The observability startup reached an $800 million valuation as companies seek better ways to test and improve applications built on language models.
The Mission Bay startup is building laboratory systems that use living neurons for AI workloads, an ambitious alternative to conventional silicon.