Arthur AI, Inc.
New York, NY · Founded 2019 · CIK 0001832497 · Software
AI model monitoring and governance platform for detecting and managing model drift, bias, and performance degradation in production
arthur.co →- Grants
- —
- No SBIR or STTR on record
- Sector median: 0
- Raised
- $51M
- 2 Form D · Nov 2022
- 47 months since last filing
- Contracts
- —
- No federal contracts on record
- Patents
- 13
- 5 granted · 8 pending
- Sector median: 0
Capital Timeline
Federal ↑Equity ↓2020202120222023
| Date | Event | Source | Amount |
|---|---|---|---|
| Private capital raised | Form D · SEC | $17,712,499 | |
| Private capital raised | Form D · SEC | $32,874,958 |
Form D · SEC
Peer position
| # | Company | Contracts | Disclosed equity |
|---|---|---|---|
| 2143 | Unspendable Labs Inc. | — | $2.2M |
| 2144 | Pingbase, Inc. | — | $350K |
| 2145 | Gridium Inc. | — | $6.2M |
| 2146 | Arthur AI, Inc. | — | $51M |
| 2147 | Instabids, Inc. | — | $250K |
| 2148 | FingerprintJS, Inc. | — | $60M |
| 2149 | ModelML Inc. | — | $60M |
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
- Theresia GouwDirector
- Michelangelo VolpiDirector
- Mike VolpiDirector
- Adam WenchelDirector · Executive Officer
Patents
- Media For Generating Fast Counterfactual Explanations Using Reinforcement Learninggranted
- Machine Learning Monitoring Systems And Methodsapplication
- Machine Learning Monitoring Systems And Methodsgranted
- Systems And Method For Automating Detection Of Regions Of Machine Learning System Underperformancegranted
- Systems And Methods For Detecting Drift Between Data Used To Train A Machine Learning Model And Data Used To Execute The Machine Learning Modelgranted
- Methods And Apparatus For Generating Fast Counterfactual Explanations For Black-box Models Using Reinforcement Learninggranted
- Systems And Methods For Detecting Drift Between Data Used To Train A Machine Learning Model And Data Used To Execute The Machine Learning Modelapplication
- Systems And Method For Automating Detection Of Regions Of Machine Learning System Underperformanceapplication
- Systems And Methods For Detecting Drift Between Data Used To Train A Machine Learning Model And Data Used To Execute The Machine Learning Modelapplication
- Machine Learning Monitoring Systems And Methodsapplication
- Systems And Method For Automating Detection Of Regions Of Machine Learning System Underperformanceapplication
- Methods And Apparatus For Generating Fast Counterfactual Explanations For Black-box Models Using Reinforcement Learningapplication