Our Modules
A modular solution that integrates seamlessly with your stack.
Data Collection
Kainic's robust data engineering infrastructure ensures scalable and efficient data collection from all your platforms – web and mobile apps. We track every crucial event, from user interactions to demographics, providing a comprehensive data foundation.
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Cutting-edge, scalable data engineering technologies.
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Comprehensive event tracking across web and mobile platforms.
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Seamless upload of your historical data.
Analytics
Gain unparalleled insights with Kainic's powerful analytics capabilities. Our rich, intuitive dashboards provide clear visibility into your collected data, allowing you to understand user behavior and recommendation performance at a glance.
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Rich, intuitive dashboards for clear data visibility.
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ATools to build your own tailored dashboards and reports.
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Apply your own analytics for deeper insights.
AI & Recommendations
At the heart of Kainic lies our advanced AI engine, leveraging state-of-the-art machine learning models to deliver truly personalized recommendations. We automatically tune models to fit your unique data.
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State-of-the-art models for personalized recommendations.
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Automatically tunes and selects the most suitable model.
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Advanced A/B testing capabilities.
How It Works
Open Account & Create Project
Get started quickly by setting up your Kainic account and creating your first project. Our intuitive interface guides you through the initial configuration.
Watch an instructional video
Integrate and Start Data Collection
Seamlessly integrate Kainic with your existing web or mobile platforms using our plug-and-play integrators. Once integrated, data collection begins automatically.
Watch an instructional video
Create Models and Watch the Magic
With your data flowing, Kainic's AI automatically builds and tunes recommendation models. Deploy our recommended item widgets and witness the immediate impact.
Watch an instructional videoKainic is Suitable for
Able to work with all organizations in different sectors including
Ecommerce
Retail
Media & News
PropTech
Travel
Automotive
Ecommerce
Personalization engines are the growth engine of modern e-commerce. By analyzing real‑time user behavior, Kainic delivers tailored product recommendations that increase cart size, reduce bounce rates, and boost customer lifetime value. From “Frequently Bought Together” to “You Might Also Like,” every suggestion feels intuitive—turning passive browsers into loyal buyers. Recent research shows AI recommendation engines can increase conversion rates by up to 25% and average order values by 10%–30%, and are credited with driving up to 31% of e‑commerce revenues.
Retail
In retail, personalization isn’t just a luxury—it’s a competitive edge. Kainic empowers retailers to understand customer preferences across channels and serve up intelligent recommendations that drive in‑store visits, repeat purchases, and upsell opportunities. Whether online or in‑store, every shopper’s journey becomes more relevant, engaging, and profitable. Studies indicate recommendation engines can boost average order value by ~10% and significantly improve retention—click‑through rates on recommended items being 5× higher.
Media & News
For media platforms, engagement is king—and personalized content is how you win it. Kainic’s recommendation engine learns from every view, click, and pause to suggest articles, videos, or podcasts that keep users coming back. It’s not just about more content—it’s about the right content at the right moment, increasing watch time, ad revenue, and retention. Indeed, about 60% of Netflix recommendations come via recommendation engines.
PropTech
In PropTech, relevance is everything. Kainic leverages user behavior and preference signals to recommend properties, listings, or investment opportunities tailored to each visitor’s intent. This intelligent matchmaking reduces search fatigue, shortens decision cycles, and improves conversion rates in a high‑stakes industry where personalization drives trust and action. With global content‑recommendation market growing from $7.9 bn in 2024 to $10.7 bn in 2025, PropTech is riding this wave.
Travel
Travel decisions are deeply personal—and so should the experience be. Kainic enhances the traveler’s journey from the first search by recommending destinations, packages, or activities based on behavioral cues and past preferences. The result? Increased bookings, higher package value, and a truly personalized travel discovery experience that delights users before they even pack. Industry forecasts project the recommendation engine market in travel & tourism to grow at an annual growth rate of approximately 33–40% through 2028.
Automotive
Whether browsing cars online or exploring financing options, customers expect tailored experiences. Kainic enables automotive brands to recommend vehicles, trims, or after‑sale services based on user history and preferences. It simplifies the discovery process, increases lead quality, and accelerates the buyer’s path from curiosity to commitment. Automotive “inspiration recommendation” systems using hybrid models (implicit + explicit signals) are showing strong gains, and predictive analytics in auto is transforming customer engagement and satisfaction.
Our Numbers
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Blog
Get the latest AI strategies, use cases and stay connected.
How Kainic Supercharges Your E-Commerce Store
How Kainic Supercharges Your E-Commerce Store with Hyper-Personalized Recommendations ...
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What Is a Recommendation Engine
Introduction: Welcome to the Age of Personalization In today’s digital economy, attention is the most...
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From Data to Dollars
Introduction: The Invisible Engine Behind Conversion Wins The success of any personalization platform isn’t just measured by its ability to make ...
Read MoreTalk to Expert
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Kainic is an AI-powered personalization platform launched to redefine how businesses connect with their users. It delivers a transformative impact on its clients utilizing its advanced machine learning driven recommendation engine, real-time data tracking, and seamless integration with e-commerce, media, and enterprise platforms—boosting engagement, conversions, and user satisfaction.
