PredictionIO services
Build, evaluate and deploy predictive engines powered with machine learning algorithms
We have a skilled AI team that has experience in using PredictionIO to build and deploy predictive applications to drive the sales of your offerings. Our predictive analytics services augment your upselling and cross-selling efforts with accurate recommendations
Predictive Analytics Solutions
We explore several machine learning models to build smart AI applications with predictive engines to achieve your customer engagement goals
PredictionIO Recommendation engine
We build custom recommendation engines to improve sales and strengthen customer relations
E-commerce recommendation engine
We integrate product recommendation engine with your e-commerce platform to deliver personalized offers
Content recommendation engine
Our content recommendation engines ensure that your users receive relevant content recommendations with accurate analysis of their browsing habits
Sentiment analysis services with NLP
We build advanced NLP-based applications using PredictionIO’s machine learning mechanisms to accurately analyze customer sentiments for better decision-making
Predictive analytics solutions
Our predictive analytics services deliver accurate results using PredictionIO so you can formulate effective business strategies
Benefits You Get With PredictionIO
Our seasoned AI team builds scalable recommendation engines using PredictionIO
Custom Templates
We develop smart applications with built-in customizable templates that fulfill your business requirements
Dynamic Queries
Our AI team is skilled at developing predictive engines that provide real-time responses to dynamic queries
Data Management
We develop AI applications that manage and monitor your data sources to identify potential loopholes and avert data losses
Availability of Multiple Engines
Our predictive engines extract data from multiple sources for a comprehensive analysis and provide real-time solutions to solve complex business problems
Machine Learning Models
We align machine learning models with your business strategies and tweak them to seamlessly integrate them with predictive engines
PredictionIO Recommendation Engines
We use the following components as part of our Predictive analytics and machine learning services
PredictionIO platform
An open-source machine learning stack for building predictive engines based on machine learning algorithms
Event Server
An open-source machine learning analytics layer that consolidates events from several platforms
Template gallery
A collection of pre-built engine templates subject to download for various machine learning applications
FAQs (Frequently Asked Questions)
PredictionIO is an open-source machine learning server for building and deploying ML models. Use it for recommendations, similarity search, and prediction APIs when you need a scalable, REST-based ML serving platform.
It supports collaborative filtering, content-based filtering, and hybrid engines. We implement custom engines for your data and use case. We optimize for real-time and batch recommendations.
PredictionIO uses Event Server for real-time event collection. We connect to Kafka, databases, and APIs. We build pipelines for user actions, item metadata, and feedback with proper schema design.
Yes. We deploy on AWS, GCP, and Azure. We use Docker and Kubernetes for orchestration. We set up scaling, monitoring, and backup for production.
We integrate with Shopify, Magento, and custom stores. We sync product catalogs and user behavior. We build recommendation widgets, "customers also bought," and personalized homepages.
We set up scheduled retraining (daily to weekly) based on data velocity. We add incremental updates where supported. We monitor model performance and trigger retraining on drift.
MVP recommendation systems take 6–8 weeks. Full deployment with custom engines and integration takes 10–14 weeks. We provide ongoing support and optimization.
