CoDomain: AI Market Intelligence Map for Product Teams

CoDomain is an open, structured market intelligence map for AI product teams. It isn’t a dashboard you refresh for vanity metrics, and it isn’t a static report that goes stale the moment it’s published. It’s a living, versioned map of where AI markets are forming, where adoption is ready, where investment is running ahead of real-world use, and where AI can create meaningful public or community benefit. CoDomain helps you read the terrain before you commit to a direction.

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What CoDomain Is

Most AI product teams enter a category based on intuition, investor pressure, a customer request, or a competitor sighting. CoDomain gives you something better: a structured, signal-backed map of where the market actually is right now, across major AI product categories and industries. The map helps teams explore AI markets through three lenses:

• Market Opportunity — where spend, demand, and category momentum are forming
• Adoption Readiness — where users, buyers, and workflows may be ready to absorb AI products
• Social Impact Potential — where AI could expand access, reduce burden, support underserved users, or create meaningful public benefit

That intelligence doesn’t tell you what to build. It tells you what you’re walking into.

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The Mathematical Foundation

The name isn’t cosmetic. In mathematics, the codomain of a function is the full set of possible output values — the complete space your function could map to, before you know which outputs actually get reached. The range is what lands. The codomain is the whole landscape of what’s reachable. That’s exactly what this map is. Before the market confirms where your product lands, CoDomain shows you the full landscape of where it could reach — every category, every industry, every signal state. You navigate from there.

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What the Map Covers

The map is organized around two dimensions: AI product categories (called subpatterns) and industries. Every frame in the map represents one specific subpattern operating in one specific industry. The five subpatterns currently covered are: Industries covered include financial services, healthcare, legal, software and SaaS, retail and CPG, manufacturing, customer support and BPO, media and content, and government and education — with coverage expanding across map versions.

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The Three CoDomain Lenses

CoDomain is not only a map of where money is moving. It is a map of where AI markets are becoming commercially meaningful, operationally adoptable, and socially relevant.

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How Teams Use CoDomain

The map is built for the moments before a major product decision. Teams use it to:

• Validate or challenge a category assumption before committing to a build or pivot
• Pressure-test a market narrative ahead of a fundraise, board conversation, or strategy review
• Find whitespace in adjacent industries where demand, readiness, or impact potential may be emerging
• Avoid over-indexed categories where everyone is building into the same validated signal
• Understand adoption risk before assuming a market is ready for AI
• Identify impact-aligned opportunities where commercial relevance and public benefit may reinforce each other

You don’t need to read every frame. You need to know how to read your frames — the intersection of your product category, your target industry, and the lens that matters most for your decision.

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What CoDomain Does Not Do

CoDomain does not make the product decision for you. It does not tell you that a market is guaranteed to work, that a product should be built, or that a category is automatically worth entering. It gives you structured market terrain so your team can make a sharper decision about what to build, validate, refine, or avoid. CoDomain is the map. Your product strategy is the route.

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Current Status

CoDomain is live. The map is published at codomain.cosentriq.com and updated in versioned releases. Each version carries a data refresh date so you always know how current the intelligence is. Some adoption and impact lens data may appear as early or illustrative signal while the full scoring pipeline is being developed. These directional signals are intended to support exploration, not replace validation.