Partner areas
AI applications and models
AI platforms, foundation models and enterprise applications
The platforms, models and applications that turn capacity into demand.
At a glance
The opportunity
The software, models and applications that run on the campus: AI platforms, enterprise applications, sovereign AI models, and voice, speech and multimodal AI.
What we expect
Platform, model and application companies with systems in production at scale, and the teams that deploy them.
What to send
What you run in production, the scale it runs at, the compute it consumes and where that compute sits today, in a sentence each.
Why this matters to the project
What a tenant deploys on the capacity decides how much of the campus is used and how quickly.
This area is for the organisations working on that side of the stack: the platform software a tenant runs on, the enterprise applications built on AI, the Indian foundation and domain models of sovereign AI programmes, and voice, speech and multimodal AI, including for Indian languages.
These partners are not procured by the project. They are listed here so that an organisation working on this side can find its place and say what it does.
Opportunities in this area
Every area is open now. Early conversations are welcome wherever your organisation can contribute.
AI platforms and infrastructure software
The software layer a tenant runs on: model serving and inference, orchestration and scheduling, MLOps, data pipelines, and the tooling a tenant needs to put capacity to work.
Enterprise AI applications
The applications that turn capacity into demand: banking, insurance, health, manufacturing, agriculture, logistics, education and public services built on AI, and the teams that deploy them at scale.
Sovereign AI models
Indian foundation and domain models, and the sovereign AI programmes that build them, trained and served on AI capacity in India.
Voice, speech and multimodal AI
Speech recognition, speech synthesis and multimodal models, including for Indian languages, and the products built on them.
What we ask you to show
The submission starts with your experience: up to three comparable assignments, completed or in operation, with the year, location, your role, the scale in the measure that fits your discipline, the status and a way to verify it. Newer specialist firms are welcome to present documented pilots and the founding team's record, clearly labelled. Then, for each opportunity you choose:
- AI platforms and infrastructure software
- Platforms running in production at scale, the GPU or accelerator estates they run on, how capacity is scheduled and shared, and the standards and interfaces you support.
- Enterprise AI applications
- Applications in production with named sectors rather than named clients, the scale they run at, the compute they consume, and where that compute sits today.
- Sovereign AI models
- Models in production or in training, the languages and domains they serve, the compute they train and run on, and where that compute sits today.
- Voice, speech and multimodal AI
- Speech or multimodal systems in production, the languages they serve, the scale they run at, and the compute they consume.
What happens next
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Register your interest
Tell us about your organisation and your area of interest.
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A conversation
We will arrange a confidential discussion to explore fit and opportunities.
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The data room
Selected organisations will be invited to a data room with further information.
Selected organisations receive, through the data room, the capacity and interface information for their role.