Extraordinary intelligence from every day teams

Unlock the value of your data with low-code AI software.

Simple enough to be used by those with limited AI experience and robust enough to provide data scientists with pre-built workflows and APIs that increase their production, Kepler can automate and transform even the most complex AutoML workflows.

EASY TO USE AI

Embrace a business-first approach to AI projects.

Step-by-step walkthrough for common AI use cases
High touch customer engagement model with AI roadmap planning
Guidance on how to build, run, and use AI models

DATA PREPARATION

Prepare, cleanse, and augment data for AI readiness.

Automated feature engineering and data preprocessing
Up to 10GB training data for a single model
Support for tabular, text and image data

AI MODEL TRAINING

Accelerate model development with intelligent AutoML.

Supervised and unsupervised machine learning tasks including Segmentation, Classification, Tabular regression, Anomaly detection, & Time Series Forecasting
Each AI pipeline is custom built and optimized based on your data and ML objective
Over 100 data transformation processes and algorithms
5 AI technologies including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Time Series

AI INSIGHTS AND INTERPRETABILITY

See beyond the black box with easy to interpret evaluation tools.

Visual indicator confirms when model is ready for production
Contextual explanations on how to interpret model results and recommendations on next action
Workflow-driven dashboards configured according to machine learning task
Model performance metrics for data science validation
Interpretability reports show how data correlates with each prediction

INTEGRATE AND PREDICT

Effortlessly send AI models into production.

On-demand batch predictions available within directly in the platform
One-click API deployment
Model export for on-premise or private cloud deployment

AI IN OPERATION

Monitor and retrain models from a central location.

User-based permission management supports production model governance
Drift detection with model re-evaluation with new datasets
Model retraining with new datasets
Version management and one-click replacement of existing production models
Model API usage analytics and tracking

What our customers say

“Our global search for partners that can help us to accelerate and maximize the delivery of predictive models using AI and ML led us straight to Stradigi AI and Kepler. The ease of use, the 60% acceleration of the time-to-market of our predictive models, combined with the technical expertise and efficiency of Stradigi's customer success team were the main reasons for that choice.”

Edu NevesCo-Founder and CEO, ReclameAQUI

"Data analytics is critical for us to gain accurate user insights. Rooter has amassed a large amount of data, but a shortage of experience and infrastructure around AI and machine learning has held us back from implementing data-powered applications. Having an AI company like Stradigi AI will empower us to utilise our data and improve our product, personalise content, churn superior interactive content, create prediction models to help users to make fantasy teams, and enhance user experience."

Dipesh AgarwalCo-founder and COO at Rooter

“We needed to add more certainty to our demand predictions. Getting a product from concept to shelf can take between 9 and 12 months. Often, if we don’t stock the right amount of inventory, by the time we realize it, it’s too late to fix. Improving our demand forecasting is a top priority, and we see the Kepler platform as a critical tool in building more accurate demand prediction models so we can actively drive down shortfalls and excess inventory.”

Oswaldo Moreira Neto Director of Marketing and Innovation at Seculus