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14 stories
The startup behind the non-text AI model Jev secured major funding from a16z and Sequoia just weeks after launch, claiming Fortune 500 adoption and superior speed over LLMs.
The open-source Hermes Agent startup is pivoting to enterprise with a new product line, backed by Nvidia and a $1.5 billion valuation.
The week defined a shift from rapid agent deployment to rigorous containment, as major vendors tightened security controls while investors priced in the high costs of scaling autonomous infrastructure.
Microsoft is merging its consumer and enterprise AI apps into a single interface that embeds Office directly, betting that unified control will solve the enterprise adoption gap.
Meta is packaging its Muse assistant and coding tools into a corporate suite, betting that enterprise deployment is the key to monetizing its massive AI infrastructure spend.
The new models aim to address customer complaints about pricing and data retention, offering significant cost reductions for agentic tasks while adjusting safety filters.
The AI video startup is riding a wave of enterprise adoption, with 390 Fortune 500 customers and $700M in annualized revenue.
A new startup backed by Marc Benioff aims to solve the AI deployment problem with a platform that automates the messy integration work.
The new flagship model, based on Z.ai's open-source GLM-5.2, pairs with an upgraded harness to cut deployment costs by up to 50% for enterprise customers.
Dali Rajic, former Wiz president, takes over as OpenAI's chief revenue officer amid a broader leadership reshuffle.
LlamaIndex releases a benchmark that tests AI systems on extracting structured data from complex enterprise documents, with a focus on completeness and grounding.
A startup claims Rippling cloned its MCP gateway after a year-long product trial, underscoring the dangers of deep enterprise evaluations.
Superblocks' new AWS partnership embeds vibe coding into private clouds, a sign that hyperscalers are moving to own the AI scaffolding around models.
Microsoft's CEO doubles down on his warning that companies relying wholly on proprietary AI models risk losing control of their data and destiny.
