Energy‑Data.io provides browser‑based tools that automatically retrieve global degree‑day data, normalize energy consumption, and perform weather‑adjusted regression analysis. The platform outputs statistical metrics, plain‑language reports, and tamper‑evident verification certificates, and offers a REST API for integration and bulk processing. Data is stored securely with end‑to‑end encryption and EU‑hosted AWS infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Energy professionals often spend extensive time manually cleaning consumption data, performing weather‑adjusted regression, and calculating degree days, which leads to errors, inconsistent baselines, and difficulty proving savings to stakeholders.
Solution
Energy‑Data.io delivers a suite of browser‑based applications that automate global degree‑day retrieval, weather normalization, and regression analysis without requiring statistical expertise. The platform ingests raw consumption files, selects optimal weather stations, tests multiple base temperatures, and outputs statistical metrics (R², p‑values) alongside plain‑language summaries. Results are stored in a secure cloud, where they can be downloaded as CSV, JSON, or interactive web reports. For verified performance claims, the system generates tamper‑evident PDF certificates with QR‑coded digital authentication, enabling third‑party validation of energy savings. An extensible REST API lets enterprises integrate these capabilities into existing workflows or bulk‑process large data sets. End‑to‑end encryption, EU‑hosted AWS infrastructure, and role‑based access controls ensure data confidentiality throughout the analysis lifecycle.
Target Audience
Primary users are energy managers, sustainability consultants, ESCOs, and solution providers who need accurate, weather‑adjusted analysis and verifiable proof of energy‑saving performance for clients and regulatory reporting.
Features
- Global HDD/CDD engine with smart station selection and support for multiple base temperatures per request
- On‑the‑fly consumption normalization that accepts CSV, Excel, copy‑paste, and PDF inputs, handling irregular data structures automatically
- Automated ordinary‑least‑squares regression with multi‑temperature testing, full statistical output (R², p‑values) and plain‑language report generation
- VERIFY certificates featuring professional PDF layout, QR‑code verification, and weather‑normalized before‑after comparisons for third‑party credibility
- RESTful API for degree‑day calculations, normalization, regression, and certificate issuance, supporting bulk and programmatic workflows
- Browser‑based preview and downloadable results in CSV, JSON, or interactive web report formats
- End‑to‑end TLS encryption, AES‑256 at‑rest storage, EU‑based AWS hosting, and granular role‑based access controls for data security