Energy Data Is Unreliable.
Your Decisions Can't Be.
Asoba turns fragmented, vendor-locked operational data into decision-grade intelligence — forecasts, risk signals, and financial outputs your systems can trust. Built on an open standard, designed so you never get locked in.
Why Energy Intelligence Fails Today
Three structural barriers prevent energy operators from extracting value from their own data.
Vendor Lock-In
Every OEM speaks a different data language. Huawei, SolarEdge, SMA, Enphase — each exports data in proprietary formats, forcing 120–160 hours of integration engineering per OEM. Switching vendors means rewriting pipelines. Your team spends more time wrangling data formats than extracting value from the data itself.
Data Fragmentation
SCADA data sits in silos. Owners lack cross-portfolio visibility. O&M contractors react to faults instead of predicting them. Traders miss price spikes because their systems are too slow. Insurers process claims in weeks. Every disconnected system represents revenue left on the table and risk left unmanaged.
AI Hallucination Risk
General-purpose LLMs fabricate citations and produce confident-sounding analysis without evidence. In energy regulation and intelligence assessment, this is not just unhelpful — it is dangerous. GPT-class models drop to 43.8% consistency on multi-turn epistemic stress tests, producing contradictory conclusions from the same source material.
Three Layers, One Platform
An open standard, a commercial platform, and domain AI — engineered as a single stack. Each layer reinforces the next.
ODSE — Open Data Schema for Energy
The open standard for energy asset data interchange. CC-BY-SA / Apache 2.0 licensed. One schema for all OEMs — transform data from any inverter manufacturer with a single line of code. Eliminates 120–160 hours of per-vendor integration engineering. Free forever, community-driven, independently verifiable.
Ona — Commercial Intelligence Platform
The commercial monitoring and intelligence platform built on ODSE. Per-meter anomaly detection at $15/meter/month, carbon/ESG reporting, PPA management, and trading & settlement intelligence. Physics-based fault detection with completeness tracked as a first-class metric — not just accuracy, but data integrity.
Nehanda & Zorora — Domain AI
A 27B model fine-tuned from Qwen3.6-27B via a 5-stage stacked QLoRA pipeline for epistemic synthesis in energy regulation and intelligence analysis. 88.7% on FACTS Grounding — above Gemini 2.5 Pro (87.8%) — and outperforms GPT-5.5 and Opus 4.8 on document grounding in the internal six-dimension eval. 262K context, native vision encoder, inline citations with conflict preservation. Apache 2.0.
Why Customers Choose Asoba
Not another monitoring dashboard. Not another chatbot. A fundamentally different architecture — and it's why teams switch.
| Dimension | Asoba | Traditional / General AI |
|---|---|---|
| Data Integration | ✓ One open schema. pip install odse. Hours to integrate any OEM. | ✗ Per-vendor pipelines. 120–160 hrs per OEM. Vendor lock-in. |
| Anomaly Detection | ✓ Physics-based. 5-minute telemetry. Financial impact per inverter. | ✗ Threshold alerts. Manual investigation. No financial attribution. |
| AI / Analysis | ✓ Domain-specific. Epistemic robustness. 100% cited sources. | ✗ General LLM. Hallucination risk. Fabricated citations. 43.8% consistency. |
| Reporting | ✓ Automated ESG, investor, and wheeling reports from existing telemetry. | ✗ Weeks of manual assembly from disconnected sources. |
| Cost to Switch | ✓ Open standard. Switch vendors without rewriting your analytics stack. | ✗ Proprietary formats. Switching = full reintegration. |
| GTM Model | ✓ Free open-source → you install → upgrade when ready. No sales pressure. | ✗ Enterprise sales. Long demos. Procurement cycles. You pay for the sales team too. |
How the Open Standard Works for You
A developer-led growth loop that turns a free open-source standard into a seamless upgrade path. No sales calls, no lock-in — just a better way to work with your data.
Parser Hell
Developer hits OEM data format errors. Finds ODSE via search for exact exception messages.
pip install odse
Data layer normalized in minutes. Integration barriers removed. Schema validated automatically.
Seamless Upgrade
Your data is now ODSE-native. Zero friction to upgrade to Ona's paid monitoring & intelligence platform when you need it.
Network Effect
Each new ODSE installation strengthens the standard. More developers → more data → better models → more value.
Every developer who installs the SDK to resolve their daily parser hell normalizes their data layer. This removes all integration barriers — so when you're ready for continuous monitoring, carbon reporting, or trading intelligence, the upgrade is seamless. The open standard isn't a teaser — it's the foundation.
Proven in Production
Real assets, real losses identified, real revenue recovered. Not a pilot — deployed and generating results.
Start With the Standard. Scale to the Platform.
Install ODSE for free today. When you need continuous monitoring, carbon reporting, or trading intelligence, Ona is already compatible — zero reintegration.