QGNai, Inc.
Relation-oriented machine learning platform that models object interrelationships using category theory and quantum physics principles to improve AI learning efficiency
- Sector
- Software
- Headquarters
- CAMBRIDGE, MA
- Total capital
- $256K
- Federal grants
- $256K
- 1 award · 2021
- Rank in peer group#38 of 86
- Private capital raised
- None on recordNo Form D filings on SEC EDGAR. Some raises are not filed.
- Federal contracts
- None on recordNo federal contract awards found.
- Granted patents
- 0
- 4 pending
Capital timeline
Latest events
- Federal grantNSF · Phase I · SBIR Phase I: Categorical Representation Learning in Artificial Intelligence$256K
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 86 peers
Line = medianSoftware
- Federal grants#38 · top 44%
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 · 0 granted of 4- PendingSystems And Methods For Categorical Representation LearningUSPTOApplication 17518313
- PendingSystems And Methods For Categorial Representation LearningUSPTOApplication PCTUS2021058323
- PendingSystems And Methods For Categorical Representation LearningUSPTOApplication 63168171
Show all 4 patent records
- Systems And Methods For Categorical Representation LearningMay 12, 2022 · Application 17518313Pending
- Systems And Methods For Categorial Representation LearningApplication PCTUS2021058323Pending
- Systems And Methods For Categorical Representation LearningApplication 63168171Pending
- Systems And Methods For Categorical Representation LearningApplication 63110906Pending
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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 .