AI that knows where to run.
Every AI application in the GREENPOW ecosystem is powered by the Adaptive Computing Platform. MAIZX decides where inference, training, and agent workloads run - on carbon, cost, latency, and compliance constraints, continuously.
Infrastructure to control plane to applications.
The GREENPOW stack has three layers. Cloud infrastructure runs the compute. MAIZX, the Adaptive Computing Control Plane, decides where and when. AI applications sit at the top - each one inheriting adaptive placement, governance, and carbon intelligence from below.
Infrastructure
Cloud Compute, VMs, Containers, GPU, Networking, Storage across EU-sovereign and multi-region deployments.
Adaptive Computing Control Plane
MAIZX continuously routes workloads based on live signals: grid intensity, energy cost, latency, compliance, and availability.
AI Applications
Coretex, Enterprise AI, Legal AI, Energy AI, and AI Agents - each inheriting adaptive placement and operational carbon intelligence.
Five AI applications. One platform.
Coretex
The GREENPOW AI platform for enterprise. Coretex brings together governed inference, institutional memory, and adaptive compute placement into one enterprise-ready runtime.
Enterprise AI
AI for large organizations with compliance, sovereignty, and audit requirements. Runs inside your jurisdiction. Governed by your policies. Audited end to end.
Legal AI
AI built for legal teams and law firms. Contract analysis, due diligence, and research - with the evidence traceability and data residency controls legal practice requires.
Energy AI
AI for energy companies, grid operators, and sustainability teams. Optimization, forecasting, and reporting grounded in operational data - not models disconnected from the grid.
AI Agents
A private, governed runtime for AI agents with IAM, audit, and tool governance built in. MAIZX places compute inside compliance limits; Cortex anchors agents to institutional memory.
Powered by GREENPOW Adaptive Computing Platform
AI inference costs scale fast. Adaptive compute controls them.
When AI workloads run on static infrastructure, they inherit whatever cost and carbon the host region happens to carry that hour. The GREENPOW Adaptive Computing Platform changes that.
- Cost-aware inference
- MAIZX routes inference and training workloads to the lowest-cost available capacity that meets latency and compliance constraints.
- Operational carbon intelligence
- Every AI workload carries a carbon attribution in the Carbon Ledger. Reduce Scope 2 through placement, not offsets.
- Governance by design
- Data residency, IAM, audit trails, and tool governance are not bolted on. They are built into every layer of the stack.
- Continuous adaptation
- As grid conditions, pricing, and capacity shift, MAIZX shifts your AI workloads with them - without manual intervention.
Ready to run AI on adaptive compute?
Whether you want to launch AI inference today or bring enterprise AI workloads under governance, the right path starts here.