Energy infrastructure intelligence is often scattered across inconsistent public sources, PDFs, project pages, and manual spreadsheets with weak provenance control.

The platform structures solar and regional energy infrastructure data into verified, evidence-linked records for research, strategy, and market mapping.

• Energy investors
• Infrastructure analysts
• Developers
• Regional planners
• Research teams

Data subscription, research product, advisory support, and enterprise intelligence licensing for energy and infrastructure teams.

Evidence-controlled import workflow with source capture, validation states, structured project records, regional tagging, and analytics-ready exports.

• Python
• Data ingestion
• Evidence tracking
• Next.js
• TypeScript
• Analytical datasets

Product architect and data-system designer responsible for source methodology, import controls, intelligence model, and product strategy.

• Prioritises evidence control and verification rather than raw scraped aggregation.
• Connects project-level infrastructure records with regional intelligence use cases.
• Designed for repeatable imports, quality checks, and analytics-ready outputs.

• Expand verified regional solar and energy project coverage.
• Add evidence review workflows and confidence scoring.
• Build dashboards for regional capacity, project status, and infrastructure trends.