xpresso.ai Open in urlscan Pro
2606:4700:20::681a:313  Public Scan

Form analysis
0 forms found in the DOM

Text Content

This website uses cookies to ensure you get the best experience on our website.
Learn more
DenyAllow
Skip to content
 * Products
   * xpresso AI/ML OS
   * xpresso Control Center
   * xpresso Version Control
   * xpresso Workflow Orchestration
   * xpresso Model Management
   * xpresso Data Management
   * xpresso Components Library
   * Pricing
 * Why xpresso.ai
   * Why xpresso.ai
   * Getting Started
   * Platform Integrations
 * Solutions
   * Case Studies
 * Resources
   * Blogs
   * eBooks
   * Videos
     * Demos
     * Podcasts
     * Webinars
   * FAQs
   * Documentation
 * About Us
 * Free Trial





LEVERAGE THE AI/ML OS THAT POWERS THE XPRESSO.AI PLATFORM

Fully hosted and secure environment focused on improving data scientists’
productivity by integrating features and functionality that result in
accelerated performance

Get Started



INTEGRATED OPERATIONS ACROSS DATAOPS, MLOPS AND DEVOPS WITH BUILT IN CI/CD/CT
PIPLELINE CAPABILITIES

xpresso.ai : AI Application Lifecycle


 


ENABLE BROAD SET OF INTEGRATED TOOLS AND BEST PRACTICES TO SIMPLIFY, ORGANIZE
AND OPTIMIZE THE JOURNEY TO BUILD COGNITIVE SOLUTIONS


XPRESSO CONTROLLER

xpresso.ai AI/ML stack incorporates open, standard software for machine
learning. xpresso’s core controller enables data science solution building with
best-of-breed security, monitoring, CI/CD, workflows, and configuration
management capabilities to

 * Setup the workspace for data scientists
 * Create solutions with pre-configured code repository, generated skeleton
   object-oriented code, automated CI/CD/CT pipelines and deployable container
   registry
 * Create pipelines, deploy experiments, and monitor the model behaviour
 * Enable creation of modular and reusable components
 * Manage each project using a standardized structure that is easy to scale
   maintain, and collaborate


DATA SOURCE & CONNECTIVITY

xpresso.ai Data Sources & Connectivity module enables to

 * Leverage existing open-source plugins and connectors
 * Connect to any data source available in structured, un-structured and
   streaming formats
 * Create custom connectors for any APIs, databases, or file-based formats
 * Manage multiple internal and external data feeds within enterprises




DATA MANAGEMENT

xpresso.ai data engineering and management architecture is capable of consuming
wide range of data sources with high volume and velocity to

 * Explore the data and visualize
 * Transform, manipulate and prepare
 * To track and refine the data with inbuilt version control libraries


DATA SCIENCE WORKBENCH

xpresso empowers data scientists to use their preferred technologies, languages
and libraries in a virtual desktop environment that can be local to their
environment or part of the broader enterprise-wide infrastructure




MODEL MANAGEMENT

xpresso.ai AI/ML Model Management enables to

 * Version control all code, models, and workflows; allows to concurrently run
   multiple versions of models to optimize results, and provides ability to
   rollback to previous versions when needed
 * Utilize code repository push/pull commands to move consistent packages of ML
   models, data, and code into Dev, Test, and Prod environments
 * Deploy machine learning systems to production with the ability to run many
   models and multiple versions of models at the same time


DEPLOYMENT MANAGEMENT

xpresso.ai Deployment Management modules are designed to

 * Alleviate some of the more tedious tasks associated with machine learning
 * Manage deployment of machine learning apps through the full cycle of
   development, testing, and production, while allowing for resource scaling as
   demand increases
 * Achieve fault tolerance and scalability for the REST services using
   containers and Kubernetes clusters for the deployments




ENTERPRISE APPLICATIONS

xpresso.ai provides a collaborative environment to share resources, reuse
components, and rapidly build AI solutions with easy-to-use tools. Leverage
MLOps platform’s capabilities and automation to

 * Empower data science teams to build, train and deploy machine learning models
   efficiently and at scale
 * Accelerate the process by which an idea goes from AI/ML development to
   production
 * Enable secure and reliable deployments to observe model behaviour in the
   production


GET STARTED WITH XPRESSO.AI

Need more information about the platform?

Request A Demo
Free Trial



Create .Collaborate . Orchestrate

 * 
 * 
 * 


EXPLORE

 * Products
   * xpresso AI/ML OS
   * xpresso Control Center
   * xpresso Version Control
   * xpresso Workflow Orchestration
   * xpresso Model Management
   * xpresso Data Management
   * xpresso Components Library
   * Pricing

 * Why xpresso.ai
   * Why xpresso.ai
   * Getting Started
   * Platform Integrations
 * Solutions
   * Case Studies
 * Resources
   * Blogs
   * eBooks
   * Videos
     * Demos
     * Podcasts
     * Webinars
   * FAQs
   * Documentation
 * About Us
 * Contact Us

Copyright © 2020 xpresso. All rights reserved. | Terms & Conditions | Support
Policy | Privacy Policy