Industrialise machine learning across your organisation

Get to production-grade machine learning microservices in minutes, with a reproducible process for automating and managing your workflows
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Slow time to market for ML models
Models get thrown over the wall, it is hard for ML teams own their success and to demonstrate impact on product and business
Model rot bogs down ML teams
Manual efforts in maintaining and retraining models slow teams from accelerating impact and time-to-market
Lack of oversight and governance
Difficult to track different components of the entire ML workflow from training code, run parameters, model artefacts and endpoints

Bedrock is designed to fully leverage your machine learning teams

Bedrock accelerates the time taken to deploy machine learning models, and reduces technical debt for data science teams. If you’re deploying multiple models, it will save teams weeks of machine learning engineering effort each month.
Puneet Garg
Head of Data Science, Carousell
Ready to industrialise your ML?
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