Naïve Secures $28.5M to Streamline Business Operations through AI Automation
Naïve has successfully closed a Series A funding round, raising $28.5 million to advance its platform for automating business setup and management via AI agents.
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Naïve has successfully closed a Series A funding round, raising $28.5 million to advance its platform for automating business setup and management via AI agents.
The Silicon Valley startup says autonomous software agents can shorten expensive chip-development cycles, with verification emerging as an early target.
The Santa Clara startup is building chiplet and licensing technology designed to move data faster between AI processors, memory and networking systems.
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 startup wants agents to own recurring business outcomes across existing applications instead of stopping after a single generated response.
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 open-source database platform is financing faster growth as AI agents generate more applications and infrastructure demand.
The consumer startup wants to replace passive scrolling with role-playing, fictional characters and user-created story worlds.
The San Francisco startup wants to turn logs, tool calls and user interactions into a continuous feedback system for agent developers.
The Palo Alto startup is commercializing infrastructure around a widely used open-source engine for running and serving advanced AI models.
The six-person startup is training AI to learn digital tasks from video, with efficiency and safety becoming the key tests for its approach.
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 Barcelona and San Francisco company is building a governed graph that lets employees, software and agents work from the same organizational knowledge.
Former Atlassian CTO Sri Viswanath is building a control layer for companies that want autonomous agents without giving up security, governance or oversight.
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 startup is building an AI memory that reads on-screen text, prepares meeting notes and retrieves information from a user's daily work.
The Dublin, California semiconductor company plans to commercialize a component that moves power vertically toward high-performance processors.
The semiconductor startup is moving its co-packaged optics technology toward volume production as data centers demand faster, more efficient connections.