Best Recommendation APIs for Startups

Qloo is the “Cultural AI”, decoding and predicting consumer taste across the globe. A privacy-first API that predicts global consumer preferences and catalogs hundreds of millions of cultural entities. Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things. Our technology empowers you to look beyond trends and uncover the connections behind people’s tastes in the world around them. Look up entities in our vast library spanning categories like brands, music, film, fashion, travel destinations, and notable people. Results are delivered within milliseconds and can be weighted by factors such as regionalization and real-time popularity. Used by companies who want to incorporate best-in-class data in their consumer experiences. Our flagship recommendation API delivers results based on demographics, preferences, cultural entities, metadata, and geolocational factors.

Luigi's Box is a search and discovery solution designed specifically for e-commerce websites to improve the customer experience and achieve desired revenue. Through years of operation, Luigi's Box earned several awards for its intelligent AI-driven Search and Analytics. Our advanced features helped companies such as O2, Mountfield, and Answear successfully increase search usage and conversions. Luigi's Box is easy to use and has a user-friendly interface, making it suitable for businesses of all sizes and kinds. We understand that e-commerce businesses have unique needs, and a good product discovery solution should offer a range of advanced features to allow them to tailor the search experience to their specific needs. Luigi's Box is the easiest-to-use solution for its seamless integration. You need to just paste the tracking script into the header of your web. But we offer various types of implementation to choose from based on your preferences.

Algolia is a search and discovery API platform for building powerful and composable experiences while solving for relevance with AI and configurable rules. Algolia Search enables our customers to design and implement unique search experiences using the design language of their choice. Algolia Recommend is a robust API that allows you to add “frequently bought together” and “related items” into any digital experience with as little as 6 lines of code.

Orchestrate individual shopper experiences at scale. Empower discovery by creating an emotional connection with consumers through brand inspiration and creativity. Personalize each moment by responding to a true understanding of shopper intent at that very moment of interaction. Deliver an exceptional micro-experience that reflects the context of the engagement and their stage in the shopping journey. Connect the shopper journey by integrating all engagement moments -across devices, channels or locations. Optimize every stage of the shopper journey and still meet your commercial goals. Algorithm-driven Intelligence enhanced by your expertise. Evolve your technology stack; stay focused on innovation components that make an impact. Get rid of silos through a single intelligence layer delivering actionable insight. Use one of the world’s fastest eCommerce site search engines and recommendations APIs.

Search.io is re-engineering search to give all developers the tools to create intelligent search applications in hours, not months. With machine-learning at its core, Search.io automatically optimizes search results based on customer and business data. In a few lines of configuration code, developers can implement advanced capabilities, like A/B testing, reinforcement learning, and Bayes classification, that would take months to implement otherwise. Search.io enables thousands of businesses worldwide to provide highly-intelligent search experiences on their websites, stores, and applications.

Klevu is an intelligent site search solution designed to help e-commerce businesses increase onsite sales and improve the customer online shopping experience. Klevu powers the search and navigation experience of thousands of mid-level and enterprise online retailers by leveraging advanced semantic search, natural language processing, merchandising and multi-lingual capabilities, ensuring visitors to your site find exactly what they are looking for regardless of the device or query complexity. Klevu AI is the most human-centric based AI, designed specifically for ecommerce, and one of the most comprehensive, included in Gartner’s Market Guide 2021 for Digital commerce search. Deliver relevant search results to your customers with Klevu’s powerful and customizable search engine built exclusively for ecommerce.

Metadata aggregation, AI/ML enrichments, search & recommendation APIs, CMS, and promotion engine: Utelly brings the best content discovery toolkit for TV & OTT clients. We ingest core metadata catalogs to provide a universal view of the content available, along with ingesting individual feeds which are matched with the core metadata to provide an enriched unified dataset ready for powering content discovery. Our AI enrichment modules allow sparse data sets to be enhanced and then used to achieve improved content discovery experiences. Our search can be indexed on individual catalogs or a universal dataset, to provide an entertainment-focused search capability which is a future-proof approach to providing your customers with a great search experience. Our powerful recommendation engine leverages the latest ML/AI techniques to generate personalized recommendations based on key indicators identified throughout a user life cycle along with ingesting datasets.

Personalized recommendations for entertainment platforms. Rumo is a SaaS recommendation system engine for entertainment content platforms. Our tool helps you deliver personalized recommendations to improve user acquisition, and retention and boost the discoverability of content. The recommendation system is designed for your creative content. Rumo is a versatile recommendation tool that works for any creative industry. Our number one priority is to help your users find the content they love. Get easy insight into what recommendations can be displayed for a given piece of content. The similarity score shows how items relate to each other. Profiles generated by Rumo compile interactions from each user on your platform, collected anonymously, to give insight into the tastes and preferences of each. Each user is unique and requires unique recommendations. Make your users stay longer on your platform and become the video clerk that helps customers discover new topics and content.

roboMUA is an AI startup that is revolutionizing the way people shop for beauty products. Our platform uses advanced machine learning & artificial intelligence algorithms, augmented reality, and unique inclusive data sets for over 100 skin shades to provide personalized recommendations for beauty products including but not limited to makeup, skincare, and fashion (shape/bodywear) products based on a user's skin shade and undertones all from the comfort of their devices without having to go in-store. We also offer a variety of educational resources and tools to help our users make informed decisions about their beauty routines like curated makeup tutorial videos for specific makeup products from multiple brands. Our algorithms currently feature over 50 beauty brands. We offer custom algorithms via cloud APIs, Chrome Extension, Shopify App, Android, and iOS Mobile Apps. roboMUA is building the next-generation beauty retail with AI. roboMUA - your personal makeup artist in your pocket.

Increase your customer satisfaction and spending with AI powered recommendations. Applicable to your home page, product detail, emailing campaigns and much more. Building on our vast experience from various domains and site sizes, we write our own algorithms to fit clients needs. Explore performance metrics and configure recommendations to reflect your personalization needs. Use simple and user-friendly interface designed for all your team members. The recommendation engine is provided by RESTful API and SDKs for multiple programming languages.

Earn your customers’ trust and loyalty by proving how well you understand them. Google has spent years delivering recommended content across flagship properties such as Google Ads, Google Search, and YouTube. Recommendations AI draws on that experience and expertise in machine learning to deliver personalized recommendations that suit each customer’s tastes and preferences across all your touchpoints. Give customers more of what they love. No need to preprocess data, train or hyper-tune machine learning models, load balance, or manually provision your infrastructure to handle unpredictable traffic spikes. We do it all for you automatically. Take advantage of Google's expertise in recommendations, powered by state-of-the-art machine learning models. They can correct for bias and seasonality and excel in scenarios with long-tail products and cold-start users and items. Integrate data, manage models, serve recommendations, and monitor performance.

Personalized suggestions—discovered through the things you already love. TasteDive helps you discover new music, movies, TV shows, books, authors, games, podcasts, and people with shared interests. As a visitor, you can get instant suggestions using our recommendation engine. You can also hang around a bit longer, create a taste profile, discover interesting people, and learn about cool bands, movies, books or games from their profiles. Feel free to make a few requests to experiment with the API. If you decide to use it, you have to request an access key. Using this key, you can perform 300 requests per hour. Please provide a description of your product, together with some usage estimates. This allows us to increase the quota of certain applications that need it and get a better understanding of how the service is being used. Sign in to save your discoveries, create inspiring lists, get personalized recommendations, and find like-minded peers.

Jinni's taste-based content-to-audience platform provides revolutionary personalization solutions for video content discovery and targeted digital advertising for entertainment brands. Through its unique Entertainment Genome™, consisting of thousands of distinct content attributes or "genes", Jinni not only understands the most subtle differences in TV and movie entertainment content but also understands each individual's unique entertainment tastes, thereby providing the perfect match between individual and content titles! Our mission is to be the best-in-class content-to-audience platform for entertainment brands, using one platform to match & promote entertainment content to the right audiences, dramatically increasing profitability for platform operators and entertainment advertisers. Jinni's semantic algorithms that match content to users' personal tastes have been setting the direction for the next generation of content discovery & recommendations for the industry.

The fastest path to relevant recommendations and search. Increase engagement, conversion, and revenue with a configurable system that adapts in real time. We help your users find what they're looking for by surfacing the products or content that are most relevant to them. We do this whilst taking into account your business objectives to ensure all sides of your platform or marketplace are being optimized fairly. Under the hood, Shaped is a real-time, 4-stage, recommendation system containing all the data and machine-learning infrastructure needed to understand your data and serve your discovery use-case at scale. Connect and deploy rapidly with direct integration to your existing data sources. Ingest and re-rank in real-time using behavioral signals. Fine-tune LLMs and neural ranking models for state-of-the-art performance. Build and experiment with ranking and retrieval components for any use case.