Centralize Raises $15 Million to Map Relationships in Enterprise Sales
The startup is using AI to show sellers how buyers, colleagues and past interactions connect across a complex deal.
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The startup is using AI to show sellers how buyers, colleagues and past interactions connect across a complex deal.
The profitable software company plans to expand tools that help banks and governments investigate financial crime and third-party risk.
The Stanford-founded startup plans to ship a wellness wristband that infers hormone patterns without blood draws while it pursues clinical validation.
The startup is building validation software that checks model responses before errors reach users in high-precision workflows.
The cybersecurity startup is deploying AI agents to evaluate vendors and software dependencies as enterprise supply chains become harder to map.
The San Francisco startup reached a $2.2 billion valuation by selling web search and content retrieval directly to software developers.
The San Francisco startup wants to organize fragmented research and manufacturing data across semiconductors, batteries and advanced materials.
The customer-experience software company is valued above $15 billion as it races to make AI agents a standard interface for large brands.
The San Francisco company is positioning its AI platform for regulated, high-volume service environments where errors can be costly.
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 Barcelona and San Francisco company is building a governed graph that lets employees, software and agents work from the same organizational knowledge.
The startup is using conversational agents to conduct structured phone interviews and turn long-form responses into research data.
The startup combines AI agents with human media experts to turn sales conversations and customer data into targeted campaigns.
The observability startup reached an $800 million valuation as companies seek better ways to test and improve applications built on language models.