July 21, 2025
KeCaps

Overview

Client and Business background

  • Our Client is country’s leading Fashion Forecasting service for Indian Wear
  • It is a creative strategy firm, focused on catalysing fashion brands for fashion Designers and Retailers to launch and scale according to the upcoming fashion trend
  • The forecast is inclusive of multiple seasonal reports including consumer sentiments, colour, and pattern trends, that are released all through the year.

    Client Requirements

    Kecaps is a video entertainment platform that offers content and commercial

    experiences in a new unique way.

    The platform is composed by 3 main areas:

    APPs: For smartphones and smartTV that interact with each other in symbiosis.

    Content Platform: To analyse and categorise video contents.

    ADV Platform: To create and manage ADV campaigns available on Kecaps Apps.

     

    Kreedalabs helped Kecaps develop the the second and third area of the platform.

     

     Our Solution Approach

    KreedaLabs has developed an Artificial Intelligence-based content discovery system

    aiming to analyze video scenes by identifying

    content, objects, locations and people and understand the characteristics in such a way as to deduce value categorizations such as:

    • The mood (e.g., cheerful, gloomy, sentimental, energetic, )
    • The context (e.g., sports, identifying its type, dialogue, fantasy, action, )
    • The places (sea, mountain, city, house interiors, hotels, )
    • The colors (prevailing coloring)
    • The sound (dialogues, type of soundtrack, type of sounds)

     

    The AI engine and System of categorizing and cataloging film scenes, developed as a part of this solutions, will be constantly evolving in semantics, linguistics, and information architecture according to the interactions and usage patterns of the platform’s ADV users and advertisers.

    KeCaps System Architecture

    Features & Services

    The KeCaps ADV Management system provides a tool, for both internal and external use, capable of crossing 3 distinct areas:

    CATALOGED AND CATEGORIZED VIDEO CONTENT

    All contents enriched by all the information resulting from the process of the Content Discovery system

    PROFILED USERS

    All user profiles fed by the information provided by the user explicitly(registration, experiences, main actions) and implicitly (viewing times, interaction with ADV content and contents, methods and frequency of research and use, etc.)

    ADV CAMPAIGNS

    All campaigns created by partners, media centers and the internal ADV team of Kecaps with all their logic, specifications and objectives.

    The intersection of data from these worlds will allow Kecaps algorithms to offer the most effective ADV campaign to the correct user, at the right time and on the best device in reference to the actual content being played. Global ADV campaigns for mass market content can be as effective as hyper-local campaigns associated with niche content.

    AI Architecture

    Content Platform Portal

    Technology Stack