WIND
Unlock 10x more locations for wind development, at less than half the cost of legacy turbines.
The most affordable wind-scale power, period.
Mattur delivers up to 60% lower installation costs and the lowest LCOE in the market—starting at $16/MWh. The result: faster payback, stronger returns, and viable projects in far more locations than any competing technology.
- $12k
- $9k
- $6k
- $3k
- $0
(Offshore)
Gas
(Onshore)
(Utility)
- $75
- $150
- $225
Source: Leveled Cost of Energy (LCOE)
Same wind, more power
Mattur’s modular wind system unlocks sites legacy turbines can’t — transforming overlooked land into high-return energy assets.
Mattur Wind Turbine
U.S. Wind Resource Map Showing Areas Deployable by Mattur
Mattur Operates in Wind Classes 1-10
Size Comparison
Legacy Turbine
U.S. Wind Resource Map Showing Areas Deployable by Legacy Turbines
Legacy Turbines Limited to Classes 1-4
Instead of ever-larger machines, Mattur scales like solar or data centers—horizontally, with compact units that add output acre by acre. This maximizes energy density, adapts to land constraints, and delivers utility-scale performance where others can’t. Our proprietary design drives lower costs, faster payback, and a broader wind market.
Same wind, more power
Mattur’s modular wind system unlocks sites legacy turbines can’t — transforming overlooked land into high-return energy assets.
Mattur Wind Turbine
U.S. Wind Resource Map Showing Areas Deployable by Mattur
Mattur Operates in Wind Classes 1-10
Size Comparison
Legacy Turbine
U.S. Wind Resource Map Showing Areas Deployable by Legacy Turbines
Legacy Turbines Limited to Classes 1-4
Instead of ever-larger machines, Mattur scales like solar or data centers—horizontally, with compact units that add output acre by acre. This maximizes energy density, adapts to land constraints, and delivers utility-scale performance where others can’t. Our proprietary design drives lower costs, faster payback, and a broader wind market.
Reengineering wind-scale wind from the ground up
From its wind-accelerating diffuser to its ultra-dense power output, every component is built for maximum efficiency—especially in low and variable winds. Mattur’s system delivers over 3x the power density of traditional onshore turbines, making it one of the most efficient wind energy systems ever built for wind-scale deployment.

Diffuser Shroud
Boosts wind speed by up to 1.5x, accelerating airflow for wind-class performance in a compact frame.
PulseTech Generator
Network of micro-generators optimized for low-speed efficiency, reducing torque and enabling earlier cut-in.
Intelligent Inverter
Optimized for real-time power extraction with seamless OTA updates from the Adaptix AI system to improve performance over time.
Adaptix AI
Manages and optimizes the full system using live wind and fleet-wide performance data.
Self-Orienting Design
Passive 360° auto-slew captures wind from any direction—no motors, no complexity.
Purpose-built from the ground up
to capture more energy in more places.
Twice the Output.
Half the Cost
We’ve benchmarked Mattur’s system against a legacy wind-scale wind farm using the same land and wind conditions. The result: a step-change in energy density and capital efficiency—without expanding the footprint or relying on high wind speeds. Our modeled results:
Mattur produces nearly twice the electricity from the same footprint—despite lower average wind speeds.
Smaller turbines, streamlined design, and vertically integrated manufacturing drive down installation costs.
Mattur’s turbine layout enables significantly more generation per acre of land.
Performance and cost comparisons are based on a modeled repowering of the Dry Lake I Wind Power Project in Navajo County, Arizona.
Every design decision
drives performance
Our diffuser shroud accelerates airflow. PulseTech micro-generators minimize torque to spin earlier. The intelligent inverter maximizes energy extraction and adapts via OTA updates. Adaptix AI continuously optimizes system performance. Together, they deliver a fast-ramping power curve that starts earlier, runs longer, and captures more wind across more hours.
| Specifications | Value |
|---|---|
| Hub Height: | 15 m |
| Diameter: | 5 m |
| Rated Power: | 14 kw |
| Cut-In Speed: | ~2.0 m/s |
| Turbine Type | Rated Power | Rotor Area (m²) | W/m² (Typical) |
|---|---|---|---|
| Mattur Wind Turbine (DAWT) | 14 kW | ~20 | 700 W/m² |
| Large wind-scale (onshore) | 2-5 MW | 3,000-10,000 | 200-350 W/m² |
| Mid-size community wind | 100-500 kW | 300-1,000 | 150-300 W/m² |
| Small wind (<100 kW) | 1-50 kW | 10-300 | 100-250 W/m² |
Every design decision
drives performance
Our diffuser shroud accelerates airflow. PulseTech micro-generators minimize torque to spin earlier. The intelligent inverter maximizes energy extraction and adapts via OTA updates. Adaptix AI continuously optimizes system performance. Together, they deliver a fast-ramping power curve that starts earlier, runs longer, and captures more wind across more hours.
Every design decision
drives performance
Our diffuser shroud accelerates airflow. PulseTech micro-generators minimize torque to spin earlier. The intelligent inverter maximizes energy extraction and adapts via OTA updates. Adaptix AI continuously optimizes system performance. Together, they deliver a fast-ramping power curve that starts earlier, runs longer, and captures more wind across more hours.
| Specifications | Value |
|---|---|
| Hub Height: | 15 m |
| Diameter: | 5 m |
| Rated Power: | 14 kw |
| Cut-In Speed: | ~2.0 m/s |
| Turbine Type | Rated Power | Rotor Area (m²) | W/m² (Typical) |
|---|---|---|---|
| Mattur Wind Turbine (DAWT) | 14 kW | ~20 | 700 W/m² |
| Large wind-scale (onshore) | 2-5 MW | 3,000-10,000 | 200-350 W/m² |
| Mid-size community wind | 100-500 kW | 300-1,000 | 150-300 W/m² |
| Small wind (<100 kW) | 1-50 kW | 10-300 | 100-250 W/m² |
We’ve benchmarked Mattur’s system against a legacy wind-scale wind farm using the same land and wind conditions. The result: a step-change in energy density and capital efficiency—without expanding the footprint or relying on high wind speeds. Our modeled results: