Microsoft is teaming up with NVIDIA and WeTransact to support UK startups in their agentic AI ambitions.
The Agentic Launchpad is designed to accelerate the UK’s and Ireland’s AI economy by helping pioneering software companies build intelligent, next-generation AI platforms.
The programme offers startups and scale-ups the opportunity to work with the latest technologies, access to expert guidance, and the potential for global scaling opportunities.
The Launchpad offers participating firms the chance to work directly with Microsoft and Nvidia experts. Firms can receive credits through Microsoft programmes to support their development journey.
The programme will also support startups in marketing, with support to ensure products are ready to go to market, as well as support with media campaigns, executive sponsorships, and brand marketing expertise.
It also provides opportunities for networking, workshops, and events, as well as the chance to promote agentic and AI apps to key stakeholders.
The Agentic Launchpad is open to UK-based software development companies building agentic applications, intelligent systems, or GenAI platforms.
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“This is a really exciting opportunity for innovative and ambitious AI-first software companies to accelerate the growth of their agentic AI solutions with the expert help of Microsoft and NVIDIA,” Darren Hardman, CEO, Microsoft UK & Ireland, said.
“We are passionate about helping to build the agentic AI future and see innovation flourish in the UK.”
Serge Palaric, Vice President of EMEA Hyperscaler and ISV Alliances at Nvidia, said: “NVIDIA is ready to support the Microsoft Agentic Launchpad through the NVIDIA Inception program for cutting-edge start-ups.
“This collaboration will provide start-ups with access to NVIDIA Deep Learning Institute training sessions and a network of experts. By using NVIDIA AI infrastructure, software companies will be able to accelerate their AI development and enhance performance.”
Interested startups and scaleups can enquire about applying for the programme here.





