Fabrique.ai is democratizing AI and ML by making AI/ML deployment a simple and reliable business process, enabling medium companies and enterprises to easily integrate AI and ML into their businesses and transform their business processes to become truly Data-driven.
Even though AI/ML are very trendy right now, very few organizations have been able to figureout how to integrate these technologies deep into their businesses.
We are building an enterprise platform that will enable medium to large companies to start making use of ML/AI in business critical processes on a regular basis with minimal risks.
Role-based AI / ML model life-cycle management: data stream processing, AI / ML training, validation, deployment, execution, computational resource management, role-based access control, monitoring, alerting.
Training of AI / ML pipelines for business-critical applications: initial AI / ML models training, AI / ML models re-training, AI / ML models optimisation.
Processing of intensive data streams and execution of AI /ML pipelines in real-time: Distributed Stream Processing, Online Event Processing (OLEP).
Setting up and maintaining data streams quality: data quality validation, data typing, anomaly detection, aggregation, filtering.
Control and validation of AI / ML predictions: AI / ML decisions reliability control, data stream quality control, anomaly detection, monitoring, alerting.
Build and deployment of AI / ML models: seamless AI / ML models deployment, data versioning, AI / ML models versioning.
Delivery of data consistency, high performance, fault tolerance in real-time data stream processing and AI / ML execution.
