Intelligence Infrastructure for Distributed Energy Markets
Every inverter OEM ships its own proprietary data format. ESCOs, traders, and grid operators cannot produce a coherent view across brands. Asoba builds the intelligence infrastructure that makes distributed energy legible at scale.
How the Stack Works
Asoba's architecture is three layers. The protocol standardizes energy telemetry across manufacturers. The commercial platform turns that data into operational intelligence. The research layer provides regulatory, policy, and market analysis built for African energy systems.
ODS-E
ODS-E is an Apache-licensed open protocol that standardizes inverter and operational data across manufacturers. It translates proprietary OEM telemetry into a common schema that energy operators, municipalities, and trading platforms can actually use.
The current v0.4.0 release includes OEM transforms and market reform extensions for wheeling, settlement, and municipal reconciliation. The design logic is explicit: a paid standard where municipalities cannot service existing debt is dead on arrival. An open protocol that solves a real interoperability problem gets adopted.
eSUMS
eSUMS is Asoba's commercial SaaS operations and maintenance platform built on top of ODS-E. It provides portfolio-wide performance monitoring, forensic fault analysis, yield optimization, and operational intelligence for ESCOs, IPPs, and energy asset managers. The strategic model is straightforward: the protocol is open; the operational intelligence layer is commercial.
Zorora
Zorora is Asoba's research and intelligence platform powered by Nehanda, a 7B domain-specific language model fine-tuned on African energy policy, grid regulations, O&M data, and operational telemetry. It handles policy analysis, forensic research, and regulatory intelligence in regional energy contexts where general-purpose AI models consistently fail.
Platform Screenshots
These are the operational interfaces behind the platform: portfolio monitoring, maintenance intelligence, forecasting, and model observability built for distributed energy portfolios that do not live inside a single OEM dashboard.
Performance Dashboard
Fleet KPIs at a Glance
Distributed renewable portfolios rarely live in a single monitoring system. eSUMS aggregates telemetry across inverter manufacturers, sites, and operators into a unified operational view, allowing teams to understand system health without navigating multiple OEM portals.
- Generation, yield, and availability in one view
- Unified KPIs across heterogeneous OEM systems
- Operational visibility without vendor lock-in
Maintenance Intelligence
AI-Driven Fault Detection and OODA Alerts
Operational failures in distributed solar often hide inside fragmented monitoring systems. eSUMS continuously evaluates telemetry streams to detect performance anomalies and fault conditions early, reducing downtime and the operational overhead of manually correlating vendor dashboards.
- Faster detection of underperformance and faults
- Alert workflows for maintenance teams
- Less time spent correlating vendor dashboards
Forecasting
Day-Ahead and Site-Tuned Production Forecasts
Accurate generation forecasts are essential for energy trading, wheeling settlements, and portfolio planning. eSUMS forecasting models combine site-specific telemetry and weather signals to produce day-ahead and medium-horizon forecasts calibrated to real operational conditions.
- Day-ahead and medium-horizon forecasting
- Site-tuned models grounded in operational telemetry
- Forecast outputs aligned to settlement and trading workflows
Model Observatory
Production Model Health and Challenger Tracking
Forecasting models drift as weather patterns, equipment behaviour, and grid conditions evolve. The Model Observatory gives operators visibility into deployed models, tracks performance changes, and supports challenger evaluation without interrupting production systems.
- Production monitoring for deployed forecasting models
- Challenger evaluation without interrupting production
- Visibility into model drift and performance change
Platform Pricing
ODS-E is free. The protocol standardizes energy data across systems. When operators need forecasting, operational intelligence, and portfolio management, the commercial platform layer scales with them.
For small teams getting started with portfolio visibility.
- Entry-level monitoring
- Core dashboards
- Self-serve onboarding
For operators who need recurring intelligence and reporting workflows.
- Automated reports
- Performance summaries
- Operational export workflows
For teams running serious distributed renewable operations.
- Forecasting and operational intelligence
- Maintenance and anomaly workflows
- Full platform access
For organizations that want monitoring plus operational support.
- Managed workflows
- Custom service scope
- Deployment-specific support
Open Research
Asoba's data architecture work is published openly and focuses on the infrastructure required for Southern Africa's emerging wholesale electricity markets, including standardized data exchange, distributed generation telemetry, and settlement readiness.
Published Research
AI That Works for African Energy Systems
General-purpose AI models fail on Southern African energy policy, grid regulations, and operational contexts. Our published research demonstrates why domain-specific neural networks outperform generic LLMs for decision-making and probabilistic inference in distributed energy systems.
Our Partners
Our Story
See the Platform in Action
Watch how Asoba's intelligence infrastructure supports distributed energy markets across Southern Africa — from real-time telemetry to settlement-ready data exchange.
Start Building the Energy Data Layer
Adopt the open protocol. Standardize energy telemetry across systems. When operational intelligence becomes necessary, the platform layer is already there.