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Optimize your ML operations with Refract, the Fosfor Decision Cloud’s ML platform
Refract allows ML teams to reduce model development efforts by up to 70% by streamlining the preparation, building, training, deployment, and monitoring of ML models
Hear what our customers say
From global banks to leading tech firms, here’s what our customers have to say about their experience with Refract.
From a business gain perspective, we have managed to reduce our turnaround time for model output by 30%, reduce our overall total cost of ownership and most importantly establish robust governance.
- Ankita Gupta, Head, Enterprise Risk Management Technology, Standard Chartered Bank
- Swastika Somaddar, Director, Enterprise Risk Management Technology, Standard Chartered Bank
Harness MLOps
to enhance
organizational agility
Streamline your MLOps journey with a scalable and interoperable ML platform. Discover the key elements of an ideal ML platform and the questions you must ask while picking an MLOps partner in our buyer’s guide.
What makes Refract your go-to solution?
Let’s consider a few use cases across industries:
Transforming healthcare with MLOps and CI/CD for disease prediction
In healthcare, for example, institutions developing ML models to predict disease outcomes can use MLOps deeply integrated with CI/CD for an automated pipeline that validates model accuracy, evaluates performance based on feedback from medical professionals, and quickly deploys up-to-date versions.
Enhancing online retail with data preparation for superior CX
Online retailers must maintain data reliability across ML pipelines to consistently deliver superior customer experiences in a competitive landscape. With a data catalog integrating various sources and providing enrichment, they gain accurate recommendations, improve their production environment, and streamline order fulfillment.
Elevating video streaming with real-time monitoring for recommendations
Video streaming service providers, for example, need to ensure the quality of their recommendation system to stay relevant to their users. An MLOps solution capable of autonomously monitoring data and model changes and providing auto alerts and insights into performance discrepancies can help maintain high-quality user recommendations.
Impact corner
Dive into the narratives of our clients’ journeys toward success. Explore how the Fosfor Decision Cloud is shaping industry perspectives, inspiring innovation, and provoking meaningful conversations.
Watch our fireside chat with Standard Chartered Bank
Learn about Refract’s native Snowflake integrations and GenAI capabilities
Customer success stories
Explore real-world case studies of how Refract has transformed businesses in various industries
A popular travel experience provider accurately forecasted footfall and improved customer separation multi-fold.
Results
From 4 to ~200 airports provisioned for elastic scalability
2-4 weeks taken to
realize time-to-value
5 reduction in processing time for model monitoring
A global banking giant operationalized ML at scale and improved the efficiency of its ML-powered risk analytics.
Results
4x improvement in end-to-end process efficiency
30% saving in TCO using open-source ML technologies
60% reduction in processing time for model monitoring
A Danish retailer conducted deep, AI-driven analysis to prevent Point-of-Sale (PoS) fraud issues.
Results
80K+ provisioned for
elastic scalability
70% automated detection of known fraud scenarios
7,00,000 kroner in revenue
leakage eliminated
Scale enterprise
AI initiatives
Begin your AI/ML journey with a top ML platform that’ll grow with your business
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