MACHINE LEARNING OPERATIONS

Efficiency and agility across the ML lifecycle

Improve models time-to-production by seamlessly connecting all your stakeholders, from data science to IT operations and more, to orchestrate enterprise-wide AI

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Machine Learning Operations - intro

··········MLOps quote
A platform lowers the barrier of entry and enables fewer engineers to reinvent less, allowing them to focus on implementing AI that is specific to the business.

Danny Lange, Board Member & SVP at Unity Technologies

GRACE for data science

As a data scientist, you want to have the freedom to build models using open source components you trust. With GRACE, you have the flexibility to do so and the platform reduce the engineering work required.

Grace for DS - Data ingestion

Data ingestion & transformation

Data source catalog


Tabular, text, video, image


Ingest from any data source


Data connectivity with code

Grace for DS - Analysis tools

Analysis tools

Dash apps


Python and R libraries


Notebooks

Grace for DS - Model development

Model development

Multi projects and models


Model performance logging


R & Python


GPU/CPU

Grace for DS - Model deployment

Model deployment

Docker based deployment


Pipeline supported model runs


Load balanced APIs

GRACE for IT operations

With GRACE, you get the tools to manage models in production efficiently. From monitoring dashboards to alarms and retraining schedules. GRACE makes your daily routine easy.

Production

One click deployment


Horizontal scaling


Kubernetes pipeline builder


Image, video and NLP supported

Grace for IT - Production

Business Integration

Application builder


Secure APIs


Dashboarding

Grace for IT - Business integration

Analytics & dashboards

Metrics logging


Dashboarding


PDF exporting of model stats


Usage stats

Grace for IT - Analytics & dashboards

Model lifecycle management

IT Operations dashboard


DS and IT KPIs


Infrastructure cost control


MLOps monitoring

Grace for IT - Model lifecycle

GRACE for platform administration

GRACE offers a platform to ease the way to administer the platform. You manage one software rather than multiple single components which can save you time and resources as well as reduce risk.

Grace for admin - Access management

Access management

User management


Permission


User authentication integration

Grace for admin - Platform resource management

Platform resource management

Platform resource allocation


Platform cost administration

Grace for admin - Platform operational management

Platform operational management

Platform KPI monitoring


Platform alert administration


Custom image management


Deployment administration

Grace for admin - Project administration

Project administration

Project management


Project resource allocation


Project/user access management


Project collaboration

Cloud agnostic

Our platform support Microsoft Azure, Google Cloud Platform, Amazon Web Services, as well as on-premise installations and hybrid options.

Vendor-neutral

Want to orchestrate enterprise-wide AI?

Speak to one of our experts to find out how we can help