We build digital systems that accelerate the energy transition.
- Energy monitoring platforms — MQTT, SCADA, OPC-UA, real-time dashboards
- ESG reporting systems — carbon tracking, audit-ready compliance
- AI-powered energy forecasting — peak shaving, anomaly detection
- TimescaleDB + Grafana dashboards for time-series energy data
- Full code ownership — zero vendor lock-in
Average time to MVP: 4-6 weeks
No obligations. NDA on request. Response within 24h.
Every month without digital monitoring costs you energy, compliance and competitive edge.
- Scattered data in spreadsheets — manual Excel reports, errors, decisions based on yesterday's data
- No energy forecasting — balancing costs spiral, no peak shaving strategy
- No ESG auditability — lost contracts, failed compliance audits
- No peak shaving — overpaying for energy during peak demand periods
Source: IEA — digital energy management reduces operational costs by 10-25%.
Energy costs: unoptimized vs. digital monitoring
3 pillars of digital transformation for energy and renewables.
Energy monitoring platforms
MQTT/SCADA integration, TimescaleDB for time-series data, Grafana dashboards. Full-stack TypeScript, real-time APIs, multi-site architecture.
AI forecasting and anomaly detection
TensorFlow/scikit-learn models for energy demand forecasting, peak shaving optimization, equipment anomaly detection. RAG chatbots for operational support.
MVP in 4-6 weeks
Fast-track from discovery to working monitoring system. ESG dashboards, energy data pipelines, compliance reports. Code ownership from day one.
Results you can verify.
Problem
10 MW solar farm with no real-time production visibility. Energy balancing costs rising 20% YoY. Manual Excel reports, 2-day delay on data.
Was wir getan haben
Real-time monitoring platform: MQTT data ingest, TimescaleDB, Grafana dashboards, automated balancing alerts, weather-based production forecasting.
−15% balancing costs
Problem
Multi-site corporation failing ESG audits. Carbon data scattered across 12 subsidiaries. No unified reporting, compliance deadline approaching.
Was wir getan haben
Unified ESG platform: automated data collection from all sites, carbon footprint calculator, audit-ready reports (GRI, CSRD), AI anomaly detection on emissions data.
Audit-ready in 3 weeks
Problem
EV charging network startup with no backend for charger management. OCPP integration needed. Investors expecting working MVP before next funding round.
Was wir getan haben
OCPP-compliant charger management platform: real-time status, billing integration, mobile app for drivers, admin dashboard with analytics.
Launch in 5 weeks
From diagnosis to result — no guessing.
Each step has a measurable deliverable. You know what you're getting before we start.
Discovery & Risk Assessment
Current systems audit, data source mapping, protocol analysis (MQTT, OPC-UA, Modbus). KPI baseline, ESG compliance gap analysis.
Data Architecture
Time-series database design, API contracts, data pipeline architecture. Integration plan for SCADA/IoT systems. Fixed scope document.
Build with CI/CD
2-week sprints with working demo after each. Data ingest pipelines, dashboards, AI models. Daily standups, automated testing, continuous deployment.
QA + SLO Validation
Full regression, security scan, data integrity validation. SLO thresholds confirmed. Blue-green deployment, rollback plan.
Deploy + Handover
Production deployment, monitoring setup, knowledge transfer to your team. SLA-based support or continued partnership.
Definition of Done
- 80%+ test coverage (unit + E2E)
- All data pipelines verified (ingest → store → visualize)
- Security scan passed (OWASP)
- SLO thresholds confirmed in production
- ESG reports audit-validated
- Knowledge transfer completed
Packages for energy digital transformation.
Discovery
Audit & architecture plan
2-3 weeks
- Current systems & data audit
- Protocol analysis (MQTT, OPC-UA, Modbus)
- ESG compliance gap assessment
- Architecture recommendation
- Fixed-price estimate for build phase
Pilot / MVP
Working system in 4-6 weeks
4-6 weeks
- Real-time energy monitoring dashboard
- MQTT/SCADA data ingest pipeline
- TimescaleDB + Grafana setup
- Basic alerting system
- CI/CD pipeline
Full Build
Complete platform + AI
10-16 weeks
- Multi-site energy monitoring
- AI forecasting & peak shaving
- ESG reporting (GRI, CSRD)
- Carbon footprint calculator
- Role-based access control
- Mobile app for field teams
Maintenance & Growth
SLA support + new features
Ongoing
- SLA-based monitoring & support
- AI model retraining
- New integrations & data sources
- Performance optimization
- Knowledge transfer to your team
Final price depends on number of data sources, integrations, and AI model complexity. Free estimate after consultation.
What's included in the price
- Full source code ownership
- Git repo with complete history
- CI/CD pipeline setup
- Staging + production environments
- Knowledge transfer session
- Post-launch support (30 days)
What we DON'T promise
- Savings guarantees without real data analysis
- Integrations without protocol documentation
- Copy-paste dashboards without customization
- Promises without data and timeline
Stack and integrations for energy & renewables.
IoT & Protocols
Backend & Data
AI & ML
Frontend
Infrastructure
Full code ownership. Your repo, your infra — zero vendor lock-in.
Most common concerns — our ironclad principles.
FAQ: energy monitoring, ESG reporting, renewable platforms.
- Predictive Maintenance
- Using AI and sensor data to predict equipment failures before they occur — reducing unplanned downtime and maintenance costs for turbines, inverters, and grid infrastructure.
- ESG Reporting
- Environmental, Social, and Governance reporting — standardized disclosure of a company's carbon emissions, energy usage, and sustainability metrics. Required by CSRD, aligned with GRI standards.
- Smart Grid
- An electrical grid that uses digital communication and IoT sensors to detect and react to local changes in usage, optimizing energy distribution and enabling bidirectional power flow from distributed sources.
- Peak Shaving
- A strategy to reduce energy consumption during peak demand periods — using battery storage, load shifting, or demand response to flatten the consumption curve and lower energy costs.
- SCADA
- Supervisory Control and Data Acquisition — industrial system for monitoring and controlling physical processes. In energy, SCADA manages power plants, substations, and renewable installations via protocols like OPC-UA and Modbus.
Ready to digitize your energy operations?
You'll get: systems audit, architecture plan, quote. NDA on request. Zero spam.
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