Deep Learning Analytics, Llc
BioThreatID application: a deep learning algorithm optimized for mobile deployment that identifies potentially harmful plants, insects, arachnids, and reptiles from photographs on resource-constrained
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Updated · deeplearninganalytics.com
- Sector
- Defense
- Total capital
- $13M
- Federal grants
- $224K
- 1 award · 2017
- Rank in peer group#11 of 24
- Private capital raised
- None on recordNo Form D filings on SEC EDGAR. Some raises are not filed.
- Federal contracts
- $12.8M
- 2 awards · Defense, Interior
- Rank in Defense#350 of 1442
- Granted patents
- 2
- 2 pending · first 2018
- Rank in peer group#2 of 24
Capital timeline
Latest events
- Federal contractInterior · Deep Biothreat Id$500K
- Federal grantDefense · Phase I · Deep BioThreatID$224K
- Federal contractDefense · Igf::ot::igf Target Recognition And Adaption In Contested Envir (trace)$12.3M
Node area is scaled to amount. Form D reports securities sold, which can differ from an announced round; filings are numbered in the order they were made.
Standing among 24 peers
Line = medianDefense · Software
- Federal grants#11 · top 46%
- Granted patents#2 · top 8%
Cumulative measures favor older companies. Rankings describe position today, not outcome. Below the median, ranks show as a band rather than a number.
Founders and team
No founders are linked to this company yet.
Founders appear once a person is matched to the company through its own patents, grants or filings. We never infer people from social profiles.
Checked: USPTO inventors; federal award principal investigators; SEC Form D related persons · Oct 23, 2026
Claim this profile to add your teamWhat it has protected
USPTO · 2 granted of 4- GrantedSystems And Methods For Fast And Repeatable Embedding Of High-dimensional Data Objects Using Deep Learning With Power Efficient Gpu And Fpga-based Processing PlatformsUSPTOUS 9,990,687
- GrantedSystems And Methods For Recognizing Objects In RADAR ImageryUSPTOUS 9,978,013
- PendingSystems and Methods for Fast and Repeatable Embedding of High-Dimensional Data Objects Using Deep Learning With Power Efficient GPU and FPGA-Based Processing PlatformsUSPTOApplication 62448170
Show all 4 patent records
- Systems And Methods For Fast And Repeatable Embedding Of High-dimensional Data Objects Using Deep Learning With Power Efficient Gpu And Fpga-based Processing PlatformsJun 5, 2018 · US 9,990,687Granted
- Systems And Methods For Recognizing Objects In RADAR ImageryMay 22, 2018 · US 9,978,013Granted
- Systems and Methods for Fast and Repeatable Embedding of High-Dimensional Data Objects Using Deep Learning With Power Efficient GPU and FPGA-Based Processing PlatformsApplication 62448170Pending
- Deep Model Translation GenerationApplication 62395841Pending
Related companies, and why
- ADVANCED ONION INCSimilar federal contract value in Defense · $13.4M in contracts
- AKAMAI PHYSICS, INC.Similar federal contract value in Defense · $13M in contracts
- TECHNICAL PRODUCTS INCSimilar federal contract value in Defense · $12.8M in contracts
- AKITA INNOVATIONS LLCSimilar federal contract value in Defense · $12.7M in contracts
- AMERICAN MAGLEV TECHNOLOGY OF FLORIDA, INC.Similar federal contract value in Defense · $12.7M in contracts
- Quantum Engineering Design, Inc.Similar federal contract value in Defense · $12.6M in contracts
Regulatory activity · Defense
- Danger Zone; Waters of Carr Creek and Whitehall Bay in the Vicinity of the Naval Support Activity AnnapolisEngineers Corps
- Federal Acquisition Regulation; Federal Acquisition Circular 2026-01; IntroductionNational Aeronautics and Space Administration
- Federal Acquisition Regulation: Trade Agreements ThresholdsNational Aeronautics and Space Administration
- Federal Acquisition Regulation; Federal Acquisition Circular 2026-01; Small Entity Compliance GuideNational Aeronautics and Space Administration
- Federal Acquisition Regulation; Federal Acquisition Circular 2025-06; Small Entity Compliance GuideNational Aeronautics and Space Administration
- Federal Acquisition Regulation; Federal Acquisition Circular 2025-06; IntroductionNational Aeronautics and Space Administration
Rules are matched to sector, not to company. Recent activity in a sector is context rather than a signal about this business — until rules are matched to what a company actually builds, the section is shown as context and nothing more.
Sources
Federal grants from SBIR/STTR, NIH, NSF and DoD records. Federal contracts from USAspending.gov. Private capital from SEC Form D. Patents from USPTO. Publications from OpenAlex. Regulatory activity from the Federal Register. Press matched on company name.
How to read this page
Figures show associations in public records, not causes or predictions. Nothing here is investment advice. An em-dash means no record was found under this company's name, not that none exists.
Data freshness
SEC Form D filings through . SBIR and STTR awards through .