The AI Compute Control Plane.
Compute decisions are static while cost, energy, and performance are dynamic. GREENPOW closes that gap - optimizing workloads across the global compute supply chain in real time.
AI and energy constraints are reshaping compute.
Each of these shifts is structural. Together they make static cloud strategies unworkable and force a control plane into the stack.
- AI
AI demand has hit an energy wall
GPU, inference, and training demand is growing faster than any single provider can absorb at workable economics. Compute is no longer a software problem - it is a global supply chain problem.
- Energy
Grid signals are now operational inputs
Power-constrained regions, volatile pricing, and time-varying carbon intensity make where and when compute runs a financial and compliance variable.
- Sovereignty
Sovereignty becomes the default posture
Data residency, jurisdictional control, and regulatory exposure push enterprises off pure hyperscaler dependence into hybrid and sovereign topologies.
- Regulation
Regulation enters the operational layer
CSRD, the EU AI Act, and carbon emissions reporting are moving from reporting overhead to live operational input that affects placement decisions.
One decision engine across the entire compute supply chain.
Not a new cloud provider. A control plane that observes signals, decides placement, and learns continuously - routing workloads across public, private, sovereign, and edge infrastructure.
Move All Into Zone X
Every workload makes MAIZX smarter. Every deployment makes GreenPow harder to replace.
Carbon Ledger
Per-workload carbon emissions attribution with evidence labels. Drives both active optimization and compliance reporting.
Sovereign and distributed cloud
Private, sovereign, and distributed compute orchestrated under a single control plane without lock-in.
Cross-provider intelligence compounds with every deployment.
Hyperscalers optimize within their clouds. GREENPOW optimizes workloads across the global compute supply chain.
- Signal layer
Cross-provider intelligence
MAIZX learns across public, private, sovereign, and edge infrastructure simultaneously - building a view no single provider can replicate.
- Engine
Proprietary optimization engine
Independent infrastructure signals - energy, carbon, workload behavior, availability, and economics - unified into a single optimal placement decision.
- Data flywheel
Compounding data advantage
Every deployment improves future routing accuracy. More deployments produce better outcomes, which generate more deployments.
- Network
Infrastructure network
Enterprise deployments and infrastructure partnerships create durable supply-side advantages that grow with scale.
Hyperscalers optimize within their clouds. GreenPow optimizes across the global compute supply chain.
Land with AI. Expand into infrastructure. Become the control plane.
Each successful deployment expands into the layer above it - growing recurring infrastructure revenue, customer lifetime value, and the volume of workloads MAIZX can optimize.
Applied AI products
Fast sales cycle. AI products give enterprises a clear starting point customized per industry. Workloads run on GreenPow infrastructure from the start.
Private AI infrastructure
As deployments scale, GreenPow expands into sovereign inference, private cloud, and energy-aware orchestration. Higher ACV, longer retention.
Infrastructure control plane
Enterprise deployments evolve into full MAIZX orchestration across public, private, sovereign, and edge compute. Recurring infrastructure revenue and strategic switching costs.
The numbers live in the deck.
Detailed metrics, customer evidence, unit economics, and financial materials are shared privately with qualified investors. The deck is the starting point.
Built and validated with real enterprise customers in production.
GREENPOW has moved beyond concept into commercial validation, technical deployment, and institutional recognition. Detailed metrics, customer evidence, and financial materials are shared with qualified investors through the investor deck and data room.
Commercial validation
Revenue-generating deployments across distributed compute and private cloud use cases. High-margin compute business evolving into orchestration.
Technical validation
Production workloads, orchestration logic, and carbon-aware infrastructure workflows tested in real operating environments. Pilots transitioning to repeatable deployments.
Institutional validation
Backed by EIT Climate-KIC and co-funded by the European Union. Selected by Plug and Play Energy and active Berlin R&D.
Backed by EIT Climate-KIC and co-funded by the European Union.
Seed round open. Building a syndicate of strategic and institutional investors.
GREENPOW is raising its Seed round to scale enterprise sales, deploy MAIZX orchestration, build hyperscaler partnerships, and expand its sovereign compute footprint. Round details, financials, use of funds, and projections are shared privately with qualified investors.
Enterprise sales
Scale the enterprise pipeline and accelerate pilots transitioning to repeatable deployments.
MAIZX deployment
Deploy orchestration at scale and deepen the compounding data advantage across providers.
Ecosystem and infrastructure
Hyperscaler partnerships, sovereign compute footprint, and strategic infrastructure network.
Operators spanning infrastructure, distributed systems, and enterprise.
A founding team combining cloud infrastructure, AI systems, operations, ESG, and international expansion experience across five countries in the EU and LATAM.
Federico Ruilova
CEO
Serial tech entrepreneur with a master's in cloud computing and network infrastructures. Years of experience building cloud and AI ventures. Leads product vision and corporate strategy.
Jose Pablo Valverde
COO
MBA with a background in international relations and ESG. Former operations head of a large public-sector organization. Drives operational excellence and sustainability.
Alejandro Salazar
CTO
Computer scientist and former CTO of a distributed IoT startup. Oversees platform architecture, cloud technology operations, and scalability.
Olimpia Demetraki-Paleolog
Head of Strategic Growth
Business, computer science, and fintech background. Former SAP consultant. Drives strategic growth and commercial development.
Talk to us.
Pick the path that fits where you are: deck for context, call for depth, data room when we are aligned.
Investor materials are shared selectively with aligned investors, strategic partners, and institutional capital groups.
Detailed evidence and financials live in the deck and data room.
Forward-looking statements are projections, not commitments. Figures carry evidence labels per the GREENPOW claims policy.