Machine Learning Infrastructure

The Provectus Machine Learning Infrastructure is a cloud-native solution that serves as a foundation for AI. It improves the velocity of data science teams, adds visibility and audibility to the machine learning process, allowing to rapidly launch AI projects.

Overview

Companies looking to adopt AI have to aggressively hire data scientists and ML engineers capable of using a wide variety of ML platforms, tools, and cloud products. They have to invest a massive amount of resources to come up with tangible solutions to achieve their business goals.

The Provectus Infrastructure for Machine Learning solution allows organizations to avoid these issues, offering a readily available ML infrastructure platform that is built using the best practices and processes of AI adoption.

The solution ensures ML experimentation productivity & reproducibility, transparency & auditability, and better collaboration, thereby significantly reducing the number of AI/ML’s infrastructure challenges.

ML Experimentation Productivity

Transparency & Auditability

Experimentation Reproducibility

Better Collaboration

High Customization vs. Ready to Go? Get Both

80%

  • Machine Learning experimentation environment designed for reproducibility
  • Versioned, scalable and metadata-aware Feature Store
  • Reference architecture for immutable and reusable machine learning pipelines
  • Machine Learning training augmentation with advanced instrumentation and monitoring
  • Integration with cloud services, such as AWS SageMaker
  • Integration with data enrichment platforms, such as Figure Eight and AWS Ground Truth
  • Production deployment and re-training infrastructure
20%

customizable for a
competitive edge

  • Machine Learning Pipelines architecture, implementation, and optimization
  • Migration of legacy cumbersome machine learning processes to a newly selected platform
  • Training and coaching for client’s engineers and managers

Benefits

Foundation for AI Solutions

Eliminate major infrastructure challenges and adopt AI faster

Open, Certified Architecture

The source code is fully available and can be easily customized and manipulated

Cloud Native & Vendor Agnostic

The architecture is certified to be used with different cloud vendors

Consulting & Customization

Integration and delivery, as well as training for the team, are included

Read Case Study

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TripActions enables real-time data analytics and machine learning to accelerate business growth

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ML-powered Data & Analytics Platform

NinthDecimal applies machine learning to glean insights from customers’ location data to drive precise marketing campaigns

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