Explore how we deploy governed AI on AWS
See how organisations standardise AI delivery with Firemind on AWS and NVIDIA.
- 200+ clients · 100+ GenAI projects
One gateway. Every model. Full control of your AI.
GenAI Projects
Clients
POC Conversion in 2025
As AI moves from isolated pilots to enterprise-wide deployment, architectural consistency becomes critical.
At Firemind, these requirements are built into the architecture itself.
Leaders require:
A unified control layer for enterprise AI, designed for organisations moving from AI pilots to enterprise-wide governance.
Securely deployed inside your AWS environment and fully contained within your cloud account.
Built from production-proven components. Your data remains within your environment.
Ready to standardise AI across your enterprise?
Speak with a specialist about Control Plane deployment in your AWS account.
Align on governance priorities, model catalogue, and integration points with your identity and data platforms.
Roll out the gateway and registry inside your cloud account with policies enforced from day one.
Onboard teams, monitor usage and cost, and extend controls as adoption grows.
You gain:
We have done it before
Enterprise delivery across FSI, telecoms, and the public sector.
See how organisations standardise AI delivery with Firemind on AWS and NVIDIA.
The AI Control Plane is a centralised governance layer for all AI activity inside your organisation. It gives you visibility and control over which models are in use, what prompts are being sent, which tools and agents are running, and what you're spending across every team and every cloud. It's the operational backbone for organisations running AI at scale.
Most organisations reach a point where AI usage has grown faster than their ability to govern it. Different teams are using different models, spend is fragmented, and no one has a clear picture of what's running or what it costs. The AI Control Plane consolidates that. IT and finance leaders get a single, accurate view and the controls to act on it.
Cloud monitoring tracks infrastructure metrics: CPU, memory, latency. The AI Control Plane tracks AI-specific signals: model usage, prompt patterns, agent behaviour, and AI spend per team or use case. It's purpose-built for the governance challenges that emerge when AI workloads scale across an enterprise.
Yes. The AI Control Plane is designed for multi-cloud and hybrid environments. It consolidates visibility across AWS, Azure, and Google Cloud in a single governance layer, so you don't need separate tooling per provider.
We map Control Plane architecture to your AWS estate and compliance posture.
A 20-minute focused session on your goals and current situation.
A clear plan and scope tailored to your priorities.
No obligation - move forward when the time is right.
No obligation - just a focused 20-minute discussion about your goals.