Privacy
Keep sensitive workloads inside controlled enterprise environments.
PRIVATE & HYBRID AI
Run AI where your business needs it to run.
Private and hybrid architectures across data center, private cloud and public cloud.
01PrivacyKeep sensitive workloads inside controlled enterprise environments.
02PerformancePlace compute close to data and latency-sensitive workloads.
03EconomicsBalance owned GPU capacity and cloud consumption.
04FlexibilityUse common operational patterns across multiple execution environments.
START HERE
What do you need to accomplish?
Start with the outcome. Newneo connects only the layers required to move from the current state to a production system.
Performance
Place compute close to data and latency-sensitive workloads.
Economics
Balance owned GPU capacity and cloud consumption.
Flexibility
Use common operational patterns across multiple execution environments.
PRODUCTION FIRST
Designed as part of one enterprise AI system.
Infrastructure, compute, agents and operations are separate layers, but they are engineered to work together when the business case requires it.
Business before technologyStart from the process and measurable outcome.
Model-agnosticChoose models and platforms according to the workload.
Operational by designSecurity, observability and lifecycle controls are part of the architecture.
LET'S START WITH THE PROBLEM
Talk to an AI Architect →What should this layer enable for your business?
Bring us the workload, process or production challenge. We will help define the smallest useful next step.