Customer Data Fusion & Algorithmic Depth
Effective personalization requires seamlessly combining fragmented customer data points—from browsing history and purchase patterns to real-time search context, and feeding them into sophisticated hybrid models that learn faster than competitors.
Sub-Second Recommendation Delivery
Engineering the data layer to ingest browsing activity, search queries, and inventory levels instantly, ensuring recommendations are relevant to the customer's current session context.
Collaborative & Content-Based AI
Utilizing hybrid recommendation algorithms that combine "people like you also bought" logic with product attribute matching to deliver highly relevant, diverse suggestions.
Visual Search Integration
Incorporating Computer Vision models that allow users to search for products using images, enabling style matching and "shop the look" capabilities within the app or website.
ROI Measurement Infrastructure
Building dedicated infrastructure to rigorously measure the uplift and attribution of every recommendation placement, proving the direct financial return of the system.
Smart Pillars of CX Intelligence
Creating truly personalized experiences relies on advanced machine learning models for insight and generative AI for customer interaction, all wrapped in a flawless user experience.
Custom AI Model Development
Training deep learning or matrix factorization models tailored to your specific catalog size and sparsity, ensuring highly accurate "next best offer" suggestions.
Generative AI Development
Integrating LLMs to create intelligent, conversational shopping assistants that guide users through product discovery and answer complex purchasing questions instantly.
Product Design & UX
Designing the precise placement, format, and emotional impact of recommendations (e.g., size charts, scarcity alerts) to maximize engagement and conversion without being intrusive.
Case studies
Go beyond the obvious. Co-create with teams who value impactful experiences and products.
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Automating mortgage underwriting with multi-agent AI
Friday Harbor
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Helping candidates perform better at job interviews using AI
Monster AI
Helping students learn and understand basic math using artificial intelligence
Fibo — AI Math Tutor
Leveraging AI to build a content summarization app for better knowledge retention
taim
Creating a personalized audio listening experience with content curated by artificial intelligence
Audioburst
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