Label
Prepare and store your data sets. Label your training data.
Build
Build your own models or leverage pre-built algorithms and models.
Train
Train and validate your models in multiple pipelines.
BlackFabric
Applying AI in your organisation can be challenging. BlackFabric helps you address this business challenge with a centralised AI/ML platform.
Accelerate your company’s digital transformation with a platform that allows your developers and data scientists to build, train and deploy machine learning models faster.
BlackFabric’s AI/ML engine has been built with the TensorFlow framework and scaling in mind, providing an end-to-end pipeline for training and inference tasks. Components are created in separate containers, allowing for deployment in container-orchestration tools such as Kubernetes, Docker Swarm, ECS, AWS Fargate or Azure Containers Services.
BlackFabric is omni-cloud and hot pluggable into your applications, data sets or IoT devices.
How it works
Deploy
Prepare and store your data sets. Label your training data.
Manage
Build your own models or leverage pre-built algorithms and models.
How it works
Label
Prepare and store your data sets. Label your training data.
Build
Build your own models or leverage pre-built algorithms and models.
Train
Train and validate your models in multiple pipelines.
Deploy
Prepare and store your data sets. Label your training data.
Manage
Build your own models or leverage pre-built algorithms and models.
Functional overview
Visualisation
Present data in your preferred BI tools (Power BI, Tableau, etc.)
Machine Learning models
Put ML into action with pre-built models that can be used within minutes or build your own algorithms and upload them directly into BlackFabric.
Computer vision
The object detection model allows you to identify objects in images and videos. Pipe AI is a sub-set of this component, allowing water utilities organisations to detect pipe defects and anomalies.
Prediction
The prediction component allows you to apply different time series forecasting models to any data set and generate forecasts/predictions. This is particularly useful for IoT data.
Anomaly
The anomaly component allows you to ingest both labelled (supervised learning) and unlabelled data sets (unsupervised learning) to look for any significant anomalies or clusters of anomalies that may be of interest to the use case.
Custom model
The custom model component allows you to utilise your own models, or any open source model architectures that are not currently included off the shelf with BlackFabric.
Computer vision
The object detection model allows you to identify objects in images and videos. Pipe AI is a sub-set of this component, allowing water utilities organisations to detect pipe defects and anomalies.
Prediction
The prediction component allows you to apply different time series forecasting models to any data set and generate forecasts/predictions. This is particularly useful for IoT data.
Anomaly
The anomaly component allows you to ingest both labelled (supervised learning) and unlabelled data sets (unsupervised learning) to look for any significant anomalies or clusters of anomalies that may be of interest to the use case.
Custom model
The custom model component allows you to utilise your own models, or any open source model architectures that are not currently included off the shelf with BlackFabric.
Pipelines
Our AI/ML engine offers several pipelines that can support multiple training and inferencing tasks simultaneously.
Training pipeline
Learn a new capability from existing data.
Inference pipeline
Apply the capability to new data.
Reinforcement learning pipeline
Run simulations.
Closed learning pipeline
Allow for closed loop systems.
Training pipeline
Learn a new capability from existing data.
Inference pipeline
Apply the capability to new data.
Reinforcement learning pipeline
Run simulations.
Closed learning pipeline
Allow for closed loop systems.
Data curation, cleansing & analysis
Turn independent data sources into unified data sets for analytics. Our process involves curation, augmentation, cleansing and analysis.
Data aggregation & brokering
Use of Databricks to ingest data from multiple sources and provide conditioned data sets.
Data storage
Designed to work omni-cloud or on-premise, you can use Oracle, SQL, AWS, Azure or Google Cloud to stage data for faster processing.
Become an AI driven organisation today
Plug in ML models into workflows
Deploy and integrate your models into workflows and systems so actions can be taken on model decisions.
Infuse AI in your business applications
Deploy and integrate your models into workflows and systems so actions can be taken on model decisions.
Launch your own AI-powered application
Deploy and integrate your models into workflows and systems so actions can be taken on model decisions.
Pipe AI
Pipe AI
Part of BlackFabric is Pipe AI, an asset management platform powered by machine learning and computer vision. As a game-changer for the engineering and construction industry, Pipe AI uses artificial intelligence to predict maintenance and failures, and review CCTV footage to identify cracks and anomalies in pipes.