Solutions

ElectrifAi's TurboPipeAi simplifies ML integration and deployment by automating ML DevOps. With TurboPipeAi, data scientists continue to use notebooks to create and share end-to-end workflows and use TurboPipeAi to automate DevOps into AWS native services. Eliminate investment in separate data and ML platforms and related operating overhead, including the learning curve to start using new platforms productively. Lastly, launch your ML efforts with ready-to-use high-value business use cases

ML DevOps Automation

PipelineAi's DevOps automation allows you to go from the convenience and flexibility of notebooks to natively deploy using AWS services without having to deal with the complexity of integration and deployment from monitoring, alerting, data governance, data security, workflow, and orchestration.

ML devops automation image
Ready to use ML Solutions

Ready to use ML Solutions

Start your ML journey with 15+ high-value use cases, such as demand forecasting, inventory optimization, customer engagement, call summarization, and more. Developed with deep domain expertise, the pre-built solutions drive top-line revenue growth, cost reduction, and operational efficiency in just 6-8 weeks.

Single Source of Truth

Simplify access to data and confidence in data by using S3, data lake foundation, and data catalog as the single source of truth. Never look for data in an on-premises or cloud data warehouse or deal with ETL. Avoid Vendor lock in with easy portability with scripts and avoid steep learning curve.

Single Source of Truth