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Oracle is restructuring its data architecture to support automated artificial intelligence agents, introducing an open semantic layer that queries third-party catalogs in place without copying data.
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.
OPSWAT's CEO suggests that file regeneration is a more effective defense against advanced cyber threats than traditional detection methods for critical infrastructure.
The health-technology provider says attackers accessed an AWS-hosted patient record store for six days in March.
The San Francisco company is expanding autonomous teams that handle procurement, supplier coordination, invoices and payments for large enterprises.
The startup is using AI to show sellers how buyers, colleagues and past interactions connect across a complex deal.
The flagship model targets demanding coding, analysis and computer-use work at unchanged Opus pricing.
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 executive-search firm is adding an AI-focused recruiting team with startup customers.
The startup wants agents to own recurring business outcomes across existing applications instead of stopping after a single generated response.
The startup is building validation software that checks model responses before errors reach users in high-precision workflows.
The agentic system is designed to help business teams analyze information and automate recurring work.
The new architecture aims to reduce the copies and pipelines separating operational applications from analysis.
The open-source database platform is financing faster growth as AI agents generate more applications and infrastructure demand.
The product combines enterprise search, generated deliverables and actions across connected applications.
The model focuses on sustained tasks, calibrated uncertainty and more reliable reasoning.
The applied engineering firm will become the operating core of a new enterprise AI implementation company.
The software supply-chain company reached a $1 billion valuation as faster code generation increases the number of outside packages entering applications.
The San Francisco startup is trying to replace disconnected sales tools with a system that carries context from prospecting through a closed deal.
The young San Francisco company is starting with an AI-assisted alternative to the configuration and approval systems used for complex deals.
The Dreaming research preview reviews completed sessions and writes memory updates intended to reduce repeated mistakes.
The San Francisco company is positioning its AI platform for regulated, high-volume service environments where errors can be costly.
The San Francisco company more than doubled its valuation to $2.75 billion as it expanded from moving customer data to helping agents run campaigns.
The new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
The new system connects marketing data, content, analytics and automated work across the customer lifecycle.
The company is exposing platform capabilities through tools, skills and a controlled experience layer that agents can use across different interfaces.
The Barcelona and San Francisco company is building a governed graph that lets employees, software and agents work from the same organizational knowledge.
The deal gives IBM a major real-time data platform for enterprise AI and hybrid cloud systems.
OpenShell, AI-Q and new Nemotron models aim to give companies more control over autonomous software.
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 open-source testing company will strengthen security evaluation for enterprise agents in OpenAI Frontier.
The Y Combinator company is targeting evidence collection and compliance work that still depends heavily on spreadsheets, tickets and manual review.
Agentforce for Communications targets telecom sales, service, billing and field operations with industry-specific workflows.
The Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
The Series C extension values the developer platform at $1.5 billion as more teams need persistent infrastructure for applications and agents.
The company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.
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