TripleBlind, Inc.
KANSAS CITY, MO · Founded 2019 · CIK 0001845774 · Cybersecurity · Private
Privacy-preserving software platform for secure data collaboration and sharing
tripleblind.com →- Grants
- —
- No SBIR or STTR on record
- Sector median: 0
- Raised
- $24M
- 2 Form D · Oct 2021
- 59 months since last filing
- Contracts
- —
- No federal contracts on record
- Patents
- 40
- 27 granted · 13 pending
- Sector median: 0
Capital Timeline
Federal ↑Equity ↓202020212022
| Date | Event | Source | Amount |
|---|---|---|---|
| Private capital raised | Form D · SEC | $8,170,000 | |
| Private capital raised | Form D · SEC | $24,000,000 |
Form D · SEC
Peer position
| # | Company | Contracts | Disclosed equity |
|---|---|---|---|
| 347 | QPoint, Inc. | — | $12M |
| 348 | Averlon, Inc. | — | $11M |
| 349 | Lookout, Inc. | — | $40M |
| 350 | TripleBlind, Inc. | — | $24M |
| 351 | MATTERFI INC. | — | $9.8M |
| 352 | IronVest, Inc. | — | $27M |
| 353 | Crash Override, Inc. | — | $27M |
Ranked on federal contract value rather than capital raised. The equity column is the comparison worth making — companies at the same procurement position often sit at very different points in their funding history.
Founders & Team
- Ben BayatDirector
- Quentin ClarkDirector
- Riddhiman DasDirector · Executive Officer
- Andrew KrowneDirector
- Thad LangfordDirector
- Greg StormDirector · Executive Officer
Patents
- Systems And Methods For Providing A Split Inference Approach To Protect Data And Modelgranted
- Systems And Methods For Blind Multimodal Learninggranted
- Systems And Methods For Quantifying Data Leakage From A Split Layergranted
- Systems And Methods For Providing A Private Multi-modal Artificial Intelligence Platformgranted
- Systems And Methods For Privacy Preserving Training And Inference Of Decentralized Recommendation Systems From Decentralized Datagranted
- Systems And Methods For Efficient Computations On Split Data And Split Algorithmsgranted
- Systems And Methods For Encrypting Data And Algorithmsgranted
- Systems And Methods For Providing A Marketplace Where Data And Algorithms Can Be Chosen And Interact Via Encryptiongranted
- Fast Secure Multiparty Comparison Optimized For Common Computing Architecturesapplication
- Systems And Methods For Secure Averaging Of Models For Federated Learning And Blind Learning Using Secure Multi-party Computationgranted
- Privacy-preserving Fuzzy Tokenization And Across Disparate Datasetsapplication
- Systems And Methods For Providing A Systemic Error In Artificial Intelligence Algorithmsgranted