GRACE AI PLATFORM
PRODUCTIONIZE AI AT SCALE
AI adds clear and measurable value in production, and only the capacity to scale AI to every corner of an organisation will ensure competitiveness for the next decade.
MEET THE GRACE AI PLATFORM
Grace AI Platform standardizes processes and workflows across such areas as data ingestion, model training, deployment, model lifecycle functionality, model monitoring, and retraining.
Grace also provides organisations with the most comprehensive AI Governance, including monitoring and surveillance as well as traceability, explainability, and other compliance options.
EFFICIENT AND PRODUCTIVE
Offer professional Data Scientists an enterprise solution to support and enhance efficiency in developing and taking AI models in production.
Offering features to install libraries, choose preferred data science tools, flexible integrations to in-house IT systems and data lakes.
Vendor neutrality in terms of major cloud providers or on-premise installations.
Focus on compliance and GDPR, as well as supporting all the necessary InfoSec and IT security features required in most organizations.
Supports traceability and explainability of events and activities on the platform, so that governance and standard processes can be enforced.
WHY AI PLATFORM?
TO TRANSFORM YOUR NEED TO GO ALL THE WAY
“An AI platform basically 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.”
IN-HOUSE DATA SCIENCE TEAMThe Grace AI Platform offers clients with in-house data science teams an enterprise AI solution to support and enhance team’s productivity and efficiency. Grace standardizes processes and workflows across the data science functions in such areas as data ingestion, model training, deployment, and model lifecycle functionality, including model monitoring and retraining.
NO IN-HOUSE DATA SCIENCE TEAMThe Grace AI Platform offers clients without in-house data science teams a fully functional AI solution, where the full AI life-cycle can be outsourced to AI expert partners like 2021.AI. Outsourcing involves responsibility for AI model development, deployment, monitoring, re-training of models and other life-cycle maintenance enabling such clients to also embark on the AI journey without the challenge of establishing an in-house expertise.
TECHNOLOGY COMPANIES (B2B2C)
We offer other AI ambitious technology companies integrating Grace to their architecture and infrastructure, enhancing them with the state-of-the-art AI technology that Grace offers.
In such B2B2C agreements, we typically take responsibility for the AI model development, making it both a fast track and low-risk route when offering advanced AI technology and models for such clients’ end-users.
GRACE AI PLATFORM
CORE & COMPONENTS
Grace supports a variety of structured and unstructured data, as well as streaming data.
The Grace core manages the entire model life cycle. Components augment the Grace core with additional features such as big data, branching and merging code, traceability, and explainability, etc.
Take models into production in a cloud environment or on-prem. Deploy models in a docker container and run them inside Grace, as well as outside.
GET IN TOUCH
Ready to transform your business and take AI into production?