Run Enterprise AI
Where Your Data Is
Allowed to Live.
On-premise. Private cloud. Hybrid. Air-gapped. Fluid AI meets your environment. Not the other way around.
Cloud-only AI dies in the security review.
The technology works. The deployment model doesn't.
The technology works. The deployment model doesn't.
Agentic AI is not like ordinary software. It reads your unstructured enterprise context, connects to your core systems, processes proprietary and customer data, and takes real actions.
When that runs on a third party's multi-tenant cloud, you inherit their data handling terms, their logging, and their jurisdiction. For a regulated enterprise, that means residency risk, audit gaps, and a security review that stalls before it starts.
Banking regulators, defense procurement, and government CISOs don't reject AI because it doesn't work. They reject it because the deployment model fails their data sovereignty requirements.
Most enterprise AI pilots never reach production. Deployment is why.
Four ways to deploy. Same agents underneath.
On-Premise
Full data residency. Full control.
The complete stack — models, orchestration, data, agents — runs inside your own data center. Nothing crosses the perimeter.
Private Cloud
Cloud infrastructure. Zero multi-tenant exposure.
Deployed inside your own isolated cloud environment on AWS, Azure, or GCP. Cloud scale without shared tenancy risk.
Hybrid
You draw the line. Workload by workload.
Sensitive workloads and customer data stay on-premise. Scale-elastic workloads run in the cloud. You decide what goes where.
Air-Gapped
Physically severed from the internet.
The entire stack runs disconnected from the public internet. Zero outbound path. Zero external exposure.
Cloud AI vs. On-Premise AI. The difference is your data.
Most enterprise AI pilots fail not because the technology doesn't work — but because the deployment model fails the security review. Here's what that looks like, side by side.
Fluid AI is the only enterprise agentic AI platform that supports on-premise deployment, private cloud, hybrid, and air-gapped models — giving regulated industries in banking, defense, government, and energy a compliant path to production AI without SaaS exposure.
Deployment flexibility is not a technical footnote.
It's the difference between an AI project that ships and one that dies in the security review.
Data Residency, Guaranteed
Sensitive data stays where regulation requires. In your environment. In your country.
Full Audit Trail
Every agent action logged and inspectable. Show any regulator exactly what happened.
Enterprise Security by Default
RBAC, agent verification, SOC 2 Type II, ISO 27001. Baked in, not bolted on.
No Vendor Lock-In
Not dependent on any single cloud provider's availability, pricing, or jurisdiction.
Pick the model that matches your reality.
Not sure which fits? Book a deployment assessment and we'll map it to your environment.
Agentic AI in production. Not in the pilot.
Enterprises that deploy Fluid AI ship production-grade AI agents — on-premise, air-gapped, or private cloud — without compromising data sovereignty, regulatory compliance, or security posture.
"You get the speed of AI without trading away the control your regulators require."
Built for Regulated Environments.
On-Prem and Customer Cloud
All deployments run inside your environment. Your data never leaves your infrastructure.
60-Day Go-Live
Launch channels like Email and Agent Assist first. Start with information retrieval and add integrations as you scale.
Concurrent User Pricing
Pay for 100 concurrent users, not 500 seats. Enterprises save up to 40% versus per-seat licensing.
INFRASTRUCTURE OVERVIEW
Customer Channels
Fluid AI Platform
Bank Infrastructure
Where Should Your AI Live?
We map your workloads to on-premise, private cloud, hybrid, or air-gapped based on your compliance requirements. One session. Clear answer.