Enriched data to accelerate value and improve transparency

By ingesting, standardizing and enhancing millions of data points, Clir accelerates the speed of analysis, improves analytics and enables data transparency for efficient, industry-leading outcomes.

A client typing on a laptop while using the Clir dashbaord

Step 1 illustration where Clir collects raw SCADA data

1. Raw SCADA data

Clir leverages millions of data points — including SCADA data, project metadata, and operations and sensor data — to provide a holistic view of asset performance, health and risk.

Step 2 illustration of Clir ingest and standardizing

2. Ingest and standardize

Machine learning algorithms and programmatic labelling transform the disparate data into a clearly defined standard, allowing deeper insights into KPIs and accelerated time to analysis.

Step 3 illustration of Clir enriching and enhancing your data

3. Enrich and enhance

Clir combines your data with external renewable energy sources — including 200 GW of industry benchmarking data — to add context to your asset's performance. This improves overall data quality and integrity.

Step 4 illustration of Clir benchmarking data and doing comparsions

4. Benchmark

With 200 GW of benchmarking data, we compare project performance, health and data against industry peers. This enables context on relative performance and opportunities for optimization.

Step 5 illustration of the final Clir report with actionable insights

5. Actionable insights

Our data model — enhanced with market intelligence — enables a deeper understanding of production, lost energy, contractual availability and other KPIs across every asset in your portfolio.