Frequently Asked Questions

Find answers to the most common questions about Ona’s energy management platform.

Technical Questions

What are the system requirements?

Minimum Requirements:

Python 3.10+ (for Ona Terminal)
Modern web browser (Chrome, Firefox, Safari, Edge)
Stable internet connection
4GB GPU RAM (for local installations)
AWS Credentials with Bedrock Access (for AI features)

Recommended:

Python 3.10+ (for Ona Terminal)
High-speed internet connection
8GB GPU RAM (for local installations)
Latest browser versions

Operating Systems:

Windows 11, macOS 18+, or Ubuntu 22.04+

How scalable is the AI module?

The system scales effectively for 50MW+ portfolios and operates across multiple regions with proven results.

Can this system integrate with third-party monitoring platforms?

Yes, the AI module can operate as a standalone solution or integrate via API with existing monitoring platforms, regardless of whether you’re using eSUMS.

How is data secured and where is it stored?

Data security is handled through enterprise-grade encryption and secure protocols. Data can be stored regionally or on-premises based on your requirements.

What is the OODA workflow?

The OODA (Observe-Orient-Decide-Act) workflow is our proprietary decision-making framework that enables:

Observe: Real-time data collection and monitoring
Orient: AI-powered analysis and pattern recognition
Decide: Automated decision recommendations
Act: Immediate action execution and optimization

Business Questions

What is the pricing structure?

Proof of Concept:

3-Month Proof of Concept: R 13 130 / $700 ex VAT (credited toward annual contract)
Success metrics: Detection latency < 10 min, MTTR reduction > 25%, False positive rate < 10%
Auto-conversion: When 2/4 success metrics hit during 90 day PoC period → 12-month contract activates

Annual Pricing:

SaaS: R 218 945 / $11,700 annual
On-Prem: R 126 072 / $6,750 annual, R 43 770 / $2,350 with one time hardware install fee

What ROI can I expect?

10MW Portfolio Example:

25% MTTR reduction
R 82K / $4,400 annual savings per MW
60% ROI

Customer Validation: “The 4-hour detection improvement alone paid for Ona in the first month” - O&M Director, 25MW Portfolio

What is the implementation timeline?

13-week implementation process
Revenue generation begins immediately
First revenue generated within 30 days

What happens post-PoC?

Once clients move to an annual contract, the system includes ongoing support, updates, and improvements as part of the standard service.

Who is the Solar O&M AI tool for?

The tool is designed for solar asset owners, O&M teams, energy asset managers, and business decision makers looking to optimize solar performance and reduce operational costs.

How is our Solar O&M AI tool not subject to erosion by competition?

Our competitive advantages include:

Proprietary AI Models: Advanced machine learning algorithms trained on real solar data
OODA Workflow: Unique decision-making framework for energy optimization
Distributed Compute: Zero-carbon edge computing powered by renewable energy
Real-Time Processing: Live data analysis and immediate action capabilities
Proven Results: Demonstrated ROI improvements across diverse portfolios
Continuous Innovation: Ongoing R&D and model refinement

What’s the definition of value for the Solar O&M AI tool?

Value is measured through:

Cost Reduction: 25% MTTR reduction, R82K+ annual savings per MW
Revenue Generation: R1.8M+ compute revenue potential per 2.5MW system
Risk Mitigation: Proactive issue detection and prevention
Operational Efficiency: Automated monitoring and decision support
Asset Protection: Enhanced system reliability and longevity

Distributed Compute Questions

What is the customer demand?

R2.3M / $123,000 in signed LOIs globally
60+ companies in pipeline
Growing 30% annually

What deployment options are available?

We offer multiple deployment options to meet your specific needs:

Cloud Deployment: Fully managed cloud-based solution with automatic scaling
Distributed Compute: Zero-carbon edge computing powered by renewable energy (Learn More)
Hybrid Deployment: Combination of cloud and distributed compute for optimal performance
Air-Gapped Deployment: Fully isolated deployment for high-security environments
Regional Deployment: Data sovereignty compliance with local data centers

Support Information

How do I get started?

Contact us for a property assessment
We conduct financial analysis of your solar assets
Customer matching and contract terms are established
Integration and testing are completed
First revenue is generated within 30 days

What support is available?

Technical support for implementation and ongoing operations
Customer success management
Training and documentation
Regular updates and improvements

Get Help & Stay Updated

Contact Support

For technical assistance, feature requests, or any other questions, please reach out to our dedicated support team.

Email Support Join Discord