Aible vs Datarobot - See how easy it is to deploy AI in your business.

Aible, the DataRobot Alternative

Aible understands that the only AI metric that really matters is business impact. All other platforms train a model on log loss or accuracy, and at best simply evaluate on profit/ROI. Any AI provider that focuses on any other metric is wasting your time and money and could actually be destroying business value.

How We Measure Up

Aible is a fully automated 1-click process from beginning to end – from installation and data prep to modeling, deployment and model management. With Aible, the process is simple and helps business teams get started and see value quickly, while DataRobot’s process across installation, data prep, training and deployment is time-consuming. See the difference.

1 Month

To Business Impact
with Aible – Guaranteed

The Aible 1-Click

FULLY AUTOMATED INSTALLATION

Fully deployed into user's own cloud account via templates
User account monitored for configuration drift to ensure proper configuration
Fully configured security model ensuring no external access to data or models
Full configuration transparency and auditability for security review and compliance
Automatically configured VPC, network, compute resources
Complete system log configuration on native log services for monitoring and auditability
Configured for secure updates of resources and software for fully managed up-to-date service
Automated cost-effective scalability through deployment via serverless and on-demand managed clusters

FULLY AUTOMATED DATA PREP

Detect and fix data quality problems such as outliers, missing data, etc.
Autogenerates features such as Day of the Week from date fields, transformations, interactions, etc.
Blueprints encode & generate domain specific features such as revenue / sq. ft. for CPG marketing
Evaluates which of the variables and variable interactions are good predictors of the outcome
Detects and warns of potential data leakage issues that can be fixed with a click
Enables creation of custom data imputation models with simple feedback UI
Auto-creates Helper AI for image and language feature creation
Auto explores data repositories to inventory data assets, data relationships, and tracks changes to the source data

FULLY AUTOMATED MODELING (RETRAINING)

Training and evaluation of models based on Spark, H2O, TensorFlow, GBM, etc.
Custom Loss Functions to deliver business impact for the users' unique business circumstances
Model explanation including model proxies for 'Deep' or unexplainable models
Using the most appropriate resources for training - serverless for small data, appropriately sized Spark clusters for large data
Conduct all appropriate model tests from overfitting to bias
Identifying a portfolio of models (efficient Frontier) that would be more effective based on different business conditions and user preferences
Blueprints dial in best practices for unique use cases
Transparent cloud cost tracking for model training expenses

FULLY AUTOMATED DEPLOYMENT

Deployment into users private cloud account
Security configuration to expose end points
Routing for multiple models including Champion Challenger
Data Quality / Feature Generation code is auto generated and deployed
Generates Docker image with all relevent code, models, configurations
Dynamic load balancing and auto scaling (extremely efficient due to serverless deployment)
Minimizes cost of model operation as serverless can cost less than 1% of the cost of servers
Enables end users to configure / personalize the model to their unique preferences

FULLY AUTOMATED MODEL MANAGEMENT

Evaluates ongoing ROI of model checkpoint 1
Evaluates model drift and data drift
Recommends when to adjust, specialize, retrain models with one click
Evaluates Champion Challenger models
Evaluates the effectiveness of end-user individualizations compared to organizational optimal
Collects data for model retraining (stored in user account with no data access by Aible)
Periodically evaluates whether data is sufficient for retraining AI