AI-driven platform optimizing data center energy consumption while maintaining performance SLAs, featuring carbon credit tracking and automated ESG compliance reporting.
EcoCap AI revolutionizes data center operations through machine learning-powered energy allocation, targeting 15-20% power savings without compromising uptime. Designed for hyperscale operators and compliance-conscious enterprises, the solution combines real-time monitoring with predictive analytics to navigate strict ESG regulations while reducing operational costs.
Core Functionality
Reinforcement learning system balancing server workloads across racks, monitoring 50+ power metrics in real-time. Compliance dashboard generates audit-ready reports aligned with CSRD standards and ISO 50001 certification requirements.
Target User Segment
- Hyperscale operators managing 10,000+ servers
- Enterprise cloud teams with sustainability KPIs
- Compliance officers in regulated markets
Recommended Tech Stack
- TensorFlow Extended for LSTM models
- GCP Bare Metal Solution infrastructure
- Apache Beam data pipelines
- Prometheus monitoring integration
MVP Development Estimate
600 development hours (€60,000 base):
- Energy prediction models: €24k
- SLA constraint engine: €16k
- Compliance dashboard: €12k
- Cloud API integrations: €8k
+20% contingency for hardware variances
SWOT Analysis
- Strengths: First-mover compliance automation
- Weaknesses: DCIM system dependencies
- Opportunities: CSRD regulation wave
- Threats: Cloud vendor in-house solutions
Customer Acquisition Strategy
LinkedIn ABM campaigns (€120/lead), green energy partnerships (15% rev share), and Open Compute Project advocacy. Target 40% pilot conversion at €8k CAC.
Monetization Model
Tiered subscriptions from €15k/month + usage fees. Break-even at 14 clients (€22k MRR avg). Core team requires €300k annual engineering budget.
Market Positioning
€2.1B EU/US addressable market. Differentiated through real-time SLA balancing vs batch processors like Cirrus Nexus. Initial focus on Frankfurt/London cloud hubs.