Winnin Inc
Winnin is a cultural-intelligence and AI platform that analyzes cross-platform online-video behavior to identify emerging demand, cultural territories, brand opportunities and Share of Attention. It helps brands and agencies make faster, evidence-based growth, marketing and content decisions.
At a Glance
- Global consumer packaged goods companies
- Large brands and multinational corporations
- Marketing, brand, creative and content teams
- Advertising and media agencies
- +2 more
AI Tools by Winnin Inc
(1)farol by winninjs
PR Merge Risk Analyzer CLI
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Latest News
Winnin published its eight guiding principles for responsible AI and described how it governs each one.
Winnin published cultural-intelligence research on how GLP-1 is shifting food and beverage demand.
Winnin published three beauty-behavior shifts associated with GLP-1 and demand spaces.
Winnin announced Winnin Intelligence updates described as smarter, faster and more actionable.
Products & Services
B2B cultural-intelligence software that maps trends, behaviors, audiences, creators, brands and category activity from online-video consumption across YouTube, Instagram, Facebook and Twitch, helping clients measure cultural relevance and decide where to grow.
Conversational AI integrated into Winnin Intelligence, specialized in culture and brands and designed to provide evidence-backed answers using Winnin's proprietary methodology and brand/country data.
Winnin's proprietary metric for measuring the share of consumer attention directed toward brands within a category and country using real interactions and engagement with platform content.
Integration interface that lets contracted Winnin Intelligence clients access and embed cultural intelligence in their own systems, applications and workflows.
Market Position
Winnin positions itself as a behavioral cultural-intelligence platform rather than a conventional survey or social-listening tool: it analyzes observed cross-platform video behavior and proprietary cultural taxonomies to identify demand before it appears in traditional research or sales data. Relevant competitors include video and audience-intelligence vendors such as Tubular Labs and broader social/video analytics and consumer-insight platforms; Winnin differentiates through demand-emergence prediction, cultural localization and Share of Attention. farol separately competes with code-review and static-analysis workflow tools, but is positioned as a deterministic risk-prioritization layer after AI review.
Leadership
Founders
Gian Martinez
Co-founder and CEO; previously a creative director at Coca-Cola from 2007 to 2013.
Erich Oliveira
Co-founder and CTO; leads Winnin's technology and AI/data platform work.
Carlos Camolese
Co-founder and COO; responsible for operational leadership and previously worked with Martinez and Oliveira on the Coca-Cola-originated startup initiative.
Executive Team
Gian Martinez
Co-founder and CEO
Former Coca-Cola creative director (2007-2013); co-founded Winnin after identifying the limits of traditional market research.
Erich Oliveira
Co-founder and CTO
Technology executive leading Winnin's AI, data and platform development.
Board of Directors
Founding Story
The founders saw that even Coca-Cola's extensive research resources could not answer quickly what people actually wanted to watch or engage with as audiences moved across fragmented social-video platforms. They began Winnin through Coca-Cola's startup program in 2014 to replace slow, declared-preference research with analysis of observed video consumption behavior; the commercial platform took about five years to develop.
Business Model
Revenue Model
B2B paid subscriptions/licenses for Winnin Intelligence and contracted enterprise access to its API and services; the product is provided to companies and customers subscribe to a plan. farol is free and open source.
Target Markets
- Global consumer packaged goods companies
- Large brands and multinational corporations
- Marketing, brand, creative and content teams
- Advertising and media agencies
- Companies seeking cultural, audience and demand intelligence
- Software teams using farol for AI-assisted code-review risk prioritization
- Portfolio strategy and innovation prioritization
- M&A prioritization and resource allocation
- Brand positioning and cultural-relevance measurement
- Audience and consumer-trend discovery
- Content, creative and UGC strategy
- Marketing campaign planning and optimization
- Coca-Cola
- Netflix
- Meta