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Who We Are

AI & Data Science from Silicon Valley to the World

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Our Work

Projects

Growth & Revenue Models

FocusMonetization & PricingConsumer & Churn BehaviorPromotions & Incentives

  • Subscription Pricing and Churn Model

    Global media company

    A subscription pricing and churn model that forecasts subscriber churn and generates optimal prices that maximize long-term revenue.

  • Application Scorecard and ML1 Decision Engine

    Regional fintech

    An automated application scorecard & ML decision engine to reduce default rate.

  • Ads Inventory Optimizer

    Media and entertainment player

    Optimization of TV ad inventory allocation and budget efficiency using granular audience metrics and market data.

Tools Used

Machine learningCausal InferenceOptimization
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Marketplace Optimization

FocusRecommendation SystemsCost OptimizationDemand & Supply Forecasting

  • Marketplace Optimization

    Food delivery platform

    Pricing and marketplace optimization algorithms to maximize efficiency and reliability while reducing cost per trip.

  • Real-time Recommender System

    Smart mobility platform

    Recommender system generating personalized travel options in real-time to maximize hit rate for customers.

  • Demand Forecasting

    Retail company

    An AI-enabled demand forecasting platform and dashboard to enhance inventory management.

Tools Used

OptimizationMachine learningStatistical ModelingCausal Inference
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Tooling & Enablement

FocusProduct & Feature AssessmentAI Agents & DashboardsCross-selling / Upselling

  • Agentic Networking and Recruitment Platform

    MENA-based tech company

    An LLM-powered agent matching candidates and professional connections at scale.

  • Cross-sell Opportunities

    Transportation and delivery platform

    Unlocked cross-selling opportunities between ride-hailing and food delivery customers to increase gross bookings across both platforms.

  • A/B Testing

    Media and entertainment player

    A/B tests to identify product/feature changes that reduce cancellations and plan downgrades.

Tools Used

ExperimentationLarge Language ModelsMachine learning
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1) ML denotes Machine Learning.

Approach

How a cameoQ project runs

  1. 1

    Project Scoping

    Defining scope and business metrics, and baselining data availability.

  2. 2

    AI & Data Science

    Developing the model, agent or tool followed by required testing & validation.

  3. 3

    Business Application

    Integrating the developed model into the business, and evaluating its impact.

  4. 4

    Optimization

    Refreshing and regularly optimizing the developed model or tool.

FAQ

Frequently asked questions

What does cameoQ do?

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cameoQ is an AI and data science consultancy firm. We build custom models and tools spanning pricing, churn, forecasting, recommendation systems, optimization, AI agents, dashboards, and more, and integrate them into our clients' business environments.

What does working with cameoQ look like?

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cameoQ scopes the problem with you, builds and validates the model, deploys it into your business, and stays on to maintain and refine it end-to-end.

Which industries does cameoQ work with?

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cameoQ has delivered projects across media and streaming, fintech, delivery tech, transportation (e.g., logistics, ride-hailing) and technology.

How long does a typical project take?

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Engagements are scoped around the business needs. Most begin with a scoping phase to define the objective and business metrics, and to confirm data availability before modeling starts.

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