I need AI cloud services.
For product and engineering teams putting AI agents into production, improving performance on their tasks or simplifying model access. Current outreach focuses on US customers. Data, model and deployment-location requirements are assessed for each project. Platform and services are in development; start with the workflow you need to run.
What to send
- Company, and who we would talk to.
- IT load, rack density and cooling requirements, with the equipment profile if known.
- Scope: GPU compute or colocation requirements, with the required deployment stage and service scope.
- Needed-by date and the term you have in mind.
- Region preferences or constraints — latency, data residency, export-control jurisdiction.
What qualifies
The first discussion identifies the required service and produces a workload brief, a technical fit assessment and a validation plan. Describe the task, models, tools and data rights, with targets for quality, latency, reliability and cost. Begin with non-sensitive information.
What happens next
- We reply personally and ask for whatever is missing.
- NDA and counterparty review before sensitive project documents are shared.
- Build a workload brief and a validation plan. Confirm software rights, integration, isolation, recovery and operating responsibilities. Capacity, dates and service commitments follow acceptance and agreed terms.
