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Accelerated in-storage analysis of multi-dimensional data

Award Information
Agency: Department of Commerce
Branch: National Oceanic and Atmospheric Administration
Contract: NA23OAR0210342
Agency Tracking Number: 3148875
Amount: $650,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 9.1
Solicitation Number: NOAA-OAR-TPO-2023-2007785
Timeline
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-08-01
Award End Date (Contract End Date): 2025-07-31
Small Business Information
2700 Post Oak Blvd., 21st Floor
Houston, TX 77056-5797
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Donpaul Stephens
 PRINCIPAL INVESTIGATOR
 (646) 872-2124
 donpaul@airmettle.com
Business Contact
 Donpaul Stephens
Title: Founder & CEO
Phone: (646) 872-2124
Email: donpaul@airmettle.com
Research Institution
N/A
Abstract

AirMettle Inc. is transforming big data analytics for NOAA and the broader scientific community with a
real-time smart data lake solution. Our innovative method utilizes massively parallel in-storage data
processing within a versatile software defined storage framework, deployable on-premises or as a cloudbased service. Building upon our successful NOAA SBIR Phase I project, we strive to improve the
handling of large, multi-dimensional NetCDF4 datasets vital to climate and weather forecasting.
This project incorporates on-demand rescaling, allowing users to directly load only the required data at
their desired resolution from the storage service. We will validate the benefits for climatologists and
enhance the solution's commercial robustness. Our goal is to accelerate basic operations by 100x and
reduce the data retrieved from storage by over 10x for typical requests.
The potential commercial applications span meteorology and climatology across various sectors, making
it easier and faster for experts to access and analyze crucial climate and weather data. AirMettle's
cutting-edge data lake solution is poised to revolutionize big data analytics and garner widespread
interest from both public and private stakeholders.

* Information listed above is at the time of submission. *

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