Bridge the Machine Learning production gap with Bridge!

Take your ML models from conception to widespread use effortlessly. Deploy, manage, and monitor your machine learning modules, ensuring correct usage and staying close to your model end-users with Bridge by CalibroAI!

Our solutions common values

Secure and scalable ML deployment
Seamlessly deploy and scale machine learning models for large user bases, guaranteeing stable performance, secure deployment, and data protection.
Seamless new module versions integration
Integrate new features, versions, and module updates, with zero down-time for the end user.
User-friendly interface for everyone
Intuitive and mobile friendly UI bridges the gap between ML experts and non-specialized users, ensuring ease of use and accessibility for all.
Simplified billing automation
Accurate and easy-to-use billing system for your modules.
Get end-user feedback in real-time
Gather insights from module users to quickly align with their experiences and feedback
Alert end-user of inappropriate module use
Ensure expected and accurate utilization of your module via alerting end-users of any misusage.
Enable/disable modules on demand
Instantly enable or disable modules based on user feedback, maintaining system performance and user satisfaction.
Enhance modules with end-user experiments
Leverage end-user data – with their approval – to refine your modules and implement user-centric enhancements.

Main Product: Bridge

Unlock Business Potential: Bridge Your ML Models to Market!

Struggling to get your ML pipelines and models into the hands of your business customers? Bridge is a comprehensive AI platform that streamlines the transition of ML models from development to large-scale production. It does not only automate deployment and guarantee uninterrupted feature integration, but also puts a heavy emphasis on real-time performance insights, model management, and unwavering security. With an intuitive and easy-to-use UI, Bridge alerts your module end-users of misuse. Bridge’s admin dashboard delivers insights on module health and end-user engagement. As an admin, Bridge helps you to improve your model performance from the end-users' data under their consent. Moreover, Bridge is equipped with an integrated license, billing, and subscription management system to allow admins organize end-users’ usage of their modules.

You aim to scale up and administer your machine learning model for a large/small user base

Let’s break bridge Story

Phase 1

Industries Prefers Bridge

Engineers and scientists in different businesses and markets are continuously creating powerful machine learning models to solve challenges in various areas (e.g. healthcare, aerospace, automotive, insurance, chemical, etc.). Once they reach the point where their models should be produced, they opt for Bridge.
Phase 2

Bridge - More Than Just a Platform

Bridge is a dual-sided platform (admin/company and end-user) developed to allow admins to simply produce, manage, and track their machine learning modules and end-users to interact with these modules.
Phase 3

The End-User Experience

End-users desire simplicity and efficiency. With Bridge, they get what they want. End-users can effortlessly use your ML modules, benefit from its features, and provide feedback. Additionally, end-users can allow admins to use their data to improve module performance. Furthermore, Bridge can be used from a workstation or from a phone.

Features

Admin Centric Dashboard
  • Track your modules performance and end-user interactions thoroughly
  • Upgrade the module capabilities with successive module version uploads and zero downtime
  • Enable or disable modules/versions as required
  • Leverage user data to enhance module accuracy in future versions
  • Manage end-user usage of your modules via an integrated system for licensing, billing, and subscription management
  • Scale resources to meet fluctuating user demand
  • Maintain data integrity with comprehensive security measures
End-User Centric Dashboard
  • Select and utilize the preferred version of the module
  • Get real-time alerts for model misuse (e.g. when employing low-quality or irrelevant data)
  • Utilize the functions from a workstation or a phone
  • Inform admins of your feedback at the end of every experiment
  • Allow admins to utilize your experiments’ data to improve module performance
  • Interact with an intuitive UI for non-specialized and specialized users

Our team work(ed) at

Customer life cycle

01

Your module requirements are within Bridge defaults

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03

Create an instance from your module

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02

We realize your custom requirements

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04

Drop your model and the related functions to your module

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05

Staging

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06

Production

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07

Your end-users can now use your module

LEVERAGE OUR ML ENGINEERING TEAM
IF YOU DON'T HAVE A MACHINE LEARNING MODEL

Are you ready to grow your business with us?

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