StackStr
Real-time production monitoring for machine learning systems.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
$900k | Seed | ||
| Total Funding | 000k | ||
StackStr provides a production monitoring platform designed for tracking the performance of machine learning models. Based in Ann Arbor, Michigan, the company enables clients to maintain data integrity, detect model bias, and receive alerts for a wide range of issues in their models in real-time. The platform is designed to be framework-agnostic, allowing it to serve models developed in any environment and integrate performance metrics into other services.
The company was founded by Aaron Tatum (University of Michigan, Computer Science), Kimia Kavanroodi (Georgia Institute of Technology, Computer Science), and Dustin McAllister (West Virginia University and Georgia Institute of Technology, Computer Science). StackStr participated in Georgia Tech's CREATE-X accelerator program in 2020. The firm operates in the Business-to-Business software market, specifically within the Artificial Intelligence and Machine Learning vertical.
StackStr is a venture capital-backed company. It completed an accelerator/incubator round in October 2020 and subsequently raised a $900K seed round in November 2020. Noteworthy investors in the company include Knoll Ventures, Tom Noonan, Christopher Klaus, and Paige Craig.
Keywords: machine learning monitoring, AI observability, model performance, data integrity, model bias detection, MLOps, production AI, real-time monitoring, B2B software, data science