SBIR/STTR Research Award
Accelerated in-storage analysis of multi-dimensional data
Award amount
$650,000Program and phase
SBIR · Phase IIAward year
2023Award details
- Awarding agency
- Department of Commerce
- Branch
- National Oceanic and Atmospheric Administration
- Recipient company
- AIRMETTLE INC
- Proposal award date
- 2023-08-01
- Contract end date
- 2025-07-31
- UEI
- Q1QLYRH7BWS3
- Solicitation number
- NOAA-OAR-TPO-2023-2007785
- Topic code
- 9.1
Research 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.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Accelerated In-Storage Data Mining of Light Sources
- Scalable, Accelerated Genomic Sequence Analysis
- H-WFQ for Isolation through Resource Allocation in HPC Storage
- Accelerated In-Storage Data Mining of Light Sources
- Accelerated in-situ analysis of multi-dimensional data
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Extreme event real-time modeling, data fusion and actionable information dissemination to decision makers and the general public
- Quantification of the Risk of Extreme Weather for Wind Energy Systems for Insurance Markets
- Veery Fledgling Nanosatellite Pathfinder for Coarse Sea Wind
- Mitigating the Impact: Advancing Extreme Event Simulations with Machine Learning-Enhanced Meshfree Methods
- Space based and In-situ measurement of pre-season soil moisture and land surface temperature to estimate wildfire extent and risk
Research funding history
7 SBIR/STTR records share this UEI (2022–2025). Reported award amounts total $2,875,500. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Energy, Department of Commerce, National Science Foundation