
Model Share AI helps teams manage and put machine learning work into production by combining project management, model tracking, and deployment tools in one platform. It is an MLOps SaaS product that provides model versioning, ML analytics and reporting, a model registry of reusable and reproducible models and code, and instant deployment capabilities. The platform is designed for data scientists and machine learning engineers to iterate on models, build portfolios, and share reproducible work. It integrates core MLOps workflows—experimentation, tracking, registry, and deployment—into a single hub. Model Share AI targets organizations and teams adopting machine learning who need unified tooling for development, governance, and reuse of models.

Model Share AI helps teams manage and put machine learning work into production by combining project management, model tracking, and deployment tools in one platform. It is an MLOps SaaS product that provides model versioning, ML analytics and reporting, a model registry of reusable and reproducible models and code, and instant deployment capabilities. The platform is designed for data scientists and machine learning engineers to iterate on models, build portfolios, and share reproducible work. It integrates core MLOps workflows—experimentation, tracking, registry, and deployment—into a single hub. Model Share AI targets organizations and teams adopting machine learning who need unified tooling for development, governance, and reuse of models.
Product: MLOps SaaS platform for model versioning, tracking, registry, analytics, and deployment
Headquarters: New York, New York, United States
Founded: 2022
Funding: Pre-Seed; $180,000 disclosed (Antler listed as investor)
MLOps — managing, reproducing, governing, and deploying machine learning models for teams and organizations.
2022
Data and Analytics
180000 USD
“Antler participated in Pre-Seed”