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Sanity Launches AI Content Operating System
Built around three pillars — model your business, automate everything, and power anything — Sanity gives teams the structured foundation, automation layer, and agentic context to run AI in production.
Built around three pillars — model your business, automate everything, and power anything — Sanity gives teams the structured foundation, automation layer, and agentic context to run AI in production.
Built on the MCP, an open standard that has rapidly emerged as the universal language for agentic AI connectivity, the new server is available now and represents the first in a series of MCP capabilities from Guideline.
The launch introduces ASO Agent, Reviews Agent, and Reporting Agent, expanding AppTweak's AI offering across ASO analysis, app store reviews, and performance reporting.
The expansion empowers marketers to execute on their end-to-end marketing via agents — from audience building to measurement and media optimisation — with governed access to premium data, all from one central hub.
ServiceNow is bringing Moveworks' capabilities to the ServiceNow AI Platform and delivering immediate value to customers through ServiceNow EmployeeWorks, a conversational front door for the enterprise.
Wonderful's enterprise-grade AI agents will further leverage Deepdub's proprietary eTTS technology as part of its voice stack to deliver natural, emotionally-nuanced voice experiences across global markets.
Working alongside the Data Integrity Suite’s Gio AI Assistant, these agents help users initiate and guide tasks through a conversational experience, with clear recommendations and previews of proposed changes.
Agentic conversations is a suite of capabilities, including Sinch Agent Builder, developer and agent tools such as Sinch Functions and Sinch Skills, as well as a broad set of integrations.
The funding will continue to accelerate Nimble’s results across the market, enabled by a strategic ecosystem—including Microsoft and Databricks—that brings trusted live web data into production AI systems.
Over 40% of agentic AI projects will fail by 2027 due to escalating costs, unclear business value or inadequate risk controls, according to a Gartner report.