Microsoft launches CoreAI division to unify platform and tools engineering

Microsoft has established a new engineering unit called CoreAI: Platform and Tools, led by former Meta executive Jay Parikh. This division aims to centralise the development of fundamental AI technologies and infrastructure for both internal operations and external customer products.

For enterprise teams, this move signals a shift towards more integrated and standardised tooling within the Microsoft ecosystem. It suggests that future AI infrastructure will focus on reducing fragmentation, potentially streamlining the deployment of production-grade applications.

  • Jay Parikh appointed to lead the new CoreAI engineering division
  • The unit will focus on building unified platforms for core AI development
  • Infrastructure will support both Microsoft internal projects and commercial customer offerings
  • Move aims to accelerate the delivery of scalable AI tools across the enterprise stack
AI Apps & Platforms Sovereign AI Generative AI
All AI news

More AI news

Tooling

OpenAI's GPT-6 arrives on Google Cloud through cross-provider partnership

OpenAI's GPT-6 model is now accessible directly on Google Cloud infrastructure following a partnership between the rival technology providers. The move responds to widespread enterprise demand from engineering teams wishing to run advanced GPT models natively alongside their existing Google Cloud deployments.

Research

OpenAI resumes frontier model training with network access blocked over security risks

OpenAI has resumed training its most advanced artificial intelligence models whilst severing external internet connectivity. The firm stated that these systems will remain offline throughout the training cycle until adequate safeguards are established.

Models

Moonshot AI introduces Kimi K3.1 Pro and high-speed variant for commercial evaluation

Moonshot AI has officially launched its Kimi K3.1 Pro model alongside a dedicated high-speed version designed for faster processing. Organisations assessing the release are scrutinising operational costs and vendor data handling policies before committing to production deployment.

Ready to build something extraordinary?

15 minutes. No pitch deck. Just a conversation about what AI can do for your team.

Talk directly with our AI specialists

15 min, no strings
No sales pressure
Prototype in 7 days