Enterprise AI Platform
We design and build a custom-made AI Platform that best fit your data and use cases
DataOps
End-to-end DataOps life cycle
Data Integration and Ingestion
Connect your data fathom AI Platform can easily access a wide variety of data connectors (Built-in connectors, cloud, on-prem, modern and legacy systems and public APIs to build custom connectors
Data Preparation and Enrichment
Extract, transform, load (ETL) for Batch and streaming data low-code no-code ETL framework to create repeatable data transformation pipelines
Data Lineage/Data Versioning Supports Data Lineage/Data Versioning for data governance best practices specifically designed to successfully manage and deliver AI projects at scale
Data labeling and Annotation Supports Videos, Images, Text,Audio and Time series collaborative labeling and annotation for machine learning
GPU-Accelerated Supports GPU-acceleration for ultra-fast data processing speed
Exploratory Data Analysis and Visualization
The platform offers low-code and no-code Exploratory Data Analysis
Understand your data
Discover patterns
Investigate your data
Spot anomalies
Analyze and summarize your data
A Fully Executed Digital Strategy
The platform offers low-code and no-code Exploratory Data Analysis
Uncover the insights hiding in your high-dimensional data
Analyze, and visualize your data with speed, power, and flexibility Visualize your data quickly, easily, and beautifully
Flexible tools for representing geospatial, time series, and connected data
MLOps
End-to-end MLOps life cycle
Feature Engineering and Store
Our platform help Data Engineers with the process of Feature Engineering raw data including
Feature extraction
Feature selection
Feature construction
Automated feature engineering
Feature Reuse Across Organization
Feature Store lets teams organize the features in such a way that it can be reused in many projects
Streamline Model Training and Serving
Use the same feature definitions for training and serving. Feature Store is the fastest path to operationalizing analytic data for model training and online inference
Model Training
- No code environment to build Machine Learning workflows
Visual Programming Environment to make AI development more accessible (One visual environment to build, train, validate, and deploy models)
- Rich component library
AI Lab provides a comprehensive ecosystem of popular AI packages, Includes machine learning and deep learning (200+ algorithms). Includes supervised and unsupervised learning. Includes classification, regression, anomalies, time-series prediction and clustering algorithm
- Combine workflow with validation logic
Organize your workflow with ready-made components. Our unique framework lets you also control how the workflow is validated
- Customizable components
Control every aspect of your workflow, including specialized components for common industrial problems like predictive maintenance, anomaly detection, etc
Model Interpretation and Deployment
- Explainable AI (XAI) in low-code & no-code Visual environment
Interpret your machine learning and deep learning models via low-code & no-code environment. Investigate and explain the behaviour of trained your models in a visual way
- Accelerate your ML models into production
Deploy your trained models to production with a single click
Model Monitoring
Monitor your machine learning and deep learning models in Production via low-code & no-code environment
Ensure your model is performing well on the new data in production
Detect input changes in feature distribution (Data Drift)
Detect output changes in target and feature behavior (Target Drift)
Model Governance
Analyzes your model performance
Evaluate Model quality
Identify and prevent potential model risks
Engagement Process
