Area99 Platform
Your next DL model is a few clicks away
A centralized AI transformation platform that helps you build enterprise AI at scale, powering the development lifecycle of AI applications while also ensuring full operationalization of machine learning models in production.
Build & train Multi-Agent Reinforcement Learning models in one platform
Area99 platform is designed to enable multi-disciplinary teams to quickly bootstrap and develop AI applications and empowers them to overcome most of the challenges that face organizations while implementing machine learning systems.
Through a set of well-integrated tools and selected practices, your team can now perform the experiments it needs in order to leverage artificial intelligence to your advantage.
Visual ExplorationMaximize the value of your exploration through visualizing your data cleansing, wrangling and data mining process
Multi-agent AIDesign & train artificial neural networks and enrich inference results with data and actions to build a rich AI experience
Cognitive ComputingPowerful computer vision, NLP, NLU and NLG capabilities that enable adaptive, iterative and interactive analysis of data
Connected IoTUse off-the-shelf integrations with IoT platforms for a faster data exchange, analysis and AI deployment on the edge
Robotics SkillsRealtime communication with robotics middleware and ROS that helps you build and control powerful robot applications
Full OperationalizationA guided shortcut to automate data engineering and machine learning operations through DataOps and MlOps practices
A Playground
for creative minds
Built from the ground up for both technical and non-technical users to enable iterative exploration, faster data wrangling, mining, and visualization and to offer a seamless experience of AI implementation at scale.
Accelerated discovery, exploration, and training of AI models at Enterprise level
A shared platform for data scientists, engineers and product managers to collaborate on designing and implementing AI products while having a quick access to all project assets, data sources, code-snippets, wikis, and visual interfaces that allow for quick discoveries through sharing insights and experiments results with less-technical users.
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Run your DSML experiments through a flexible and a pre-configured environmentNo-Code Environment
Every step in your data lineage process can be designed using a visual interfaceTensorFlow at Core
Leveraging the capabilities of the most powerful machine learning framework
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Run your Data Science experiments through a flexible and pre-configured environmentNo-Code Environment
Every step in your data lineage process can be designed using a visual interfaceTensorFlow at Core
Leveraging the capabilities of the most powerful machine learning framework
One Centralized and Controlled environment for your data and AI transformation
A unified and central way to dealing with access control, data privacy and governance in one place. It's designed to enable central management of machine learning models and allows data scientists to import data from any source or API into their experiments, while complying with data privacy, security and governance requirements.
Controlled Access
Full control over the access to your models and data through advanced policiesCollaborative Tools
Shared components, packages, wikis and channels designed to accelerate new discoveriesExperiment Versioning
Keep track of all the changes made to your code and ML models during your exploration
Controlled Access
Full control over the access to your models and data through advanced policiesCollaborative Tools
Shared components, packages and wikis designed to accelerate new discoveriesExperiment Versioning
Keep track of all the changes made to your code and ML models during your exploration
Data plumbing and complex ETL pipelines made simpler, manageable and much more efficient
Designed with full automation in mind, Area99 platform allows data engineers to keep track of all the changes and dependencies between their datasets and allows for the management of their data lineage process, while adjusting the behavior of the data pipelines and scheduled jobs based on metrics and checks in a fully automated way.
Robust ETL Pipelines
Advanced configuration and management of your Apache Spark ETL pipelines at scaleKafka as a Backbone
A distributed architecture for your messages pipelines, event streaming and data analyticsK8s Infrastructure
Built on top of the most reliable heterogeneous infrastructure with simplified operations
Robust ETL Pipelines
Advanced configuration and management of your Apache Spark ETL pipelines at scaleKafka as a Backbone
A distributed architecture for your messages pipelines, event streaming and data analyticsKubeflow/k8s Infrastructure
Built using the most reliable heterogeneous infrastructure with simplified operations
Continuous Delivery to multiple user channels, devices and echo-systems
A continuous delivery platform designed to address the hidden technical debts in traditional machine learning systems, it comprises of a set of integrated tools that enable building and releasing software based on incremental changes to code, data, and machine learning models while optimizing for desktop, mobile and edge devices.
Automated AIOps
Automated machine learning and data operations following CI/CD best practicesCanary Releases
Gradually roll our your new AI and measure the results to mitigate any possible risksAdvanced Monitoring
Outlier and drift detectors, explainers and metrics servers designed for your ML models
Automated AIOps
Automated machine learning and data operations following CI/CD best practicesCanary Releases
Gradually roll our your new AI and measure the results to mitigate any possible risksAdvanced Monitoring
Outlier and drift detectors, explainers and metrics servers designed for your ML models
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