"Every major AI company is burning millions on bad training data while risking massive regulatory fines. We're solving this by integrating Google and Meta products as our first two customers - confirmed integrations that will generate $8-13 million in first-year revenue alone. These companies, plus the broader Fortune 500 implementing AI, need clean, compliant data at scale, but current solutions are built for marketing, not AI training. We're building the only platform designed specifically for AI training data with compliance built in from day one."
"The AI training data market is fundamentally broken. Companies are spending over $2 billion annually on low-quality data that doesn't meet their needs. 73% of AI projects fail due to data quality issues, and that number is getting worse as models become more complex.
But here's the real problem: new regulations like the EU AI Act and expanding privacy laws mean that using non-compliant data isn't just inefficient - it's illegal. Companies face fines up to 4% of global revenue for non-compliance. Current data brokers were built for consumer marketing, not AI training, so they can't solve this compliance nightmare.
Enterprise AI teams are stuck choosing between fast, cheap, dirty data that could get them sued, or spending months building internal compliance systems that slow down their AI development. There's no good option."
"We're building the only fully compliant AI data marketplace. Think of us as the Amazon Web Services for AI training data - enterprise-grade infrastructure that just works.
Our platform provides three core capabilities: First, curated and cleaned datasets specifically optimized for AI training, not marketing. Second, built-in compliance framework that handles GDPR, CCPA, EU AI Act, and emerging regulations automatically. Third, real-time data quality scoring and validation so teams know exactly what they're getting.
This isn't just another data marketplace - it's compliance infrastructure disguised as a data platform. We handle the regulatory complexity so AI teams can focus on building great models."
"We're going after a $47 billion AI training data market growing 25% year-over-year. Our specific focus is the $8.2 billion enterprise segment, where compliance and quality matter most. Within that, we're targeting the $850 million compliant enterprise data market - companies that absolutely cannot afford regulatory risk.
This market is exploding because AI model complexity is increasing exponentially, regulatory compliance is becoming mandatory, and enterprise AI adoption is accelerating. Every Fortune 500 company will need compliant AI data infrastructure within the next three years."
"We're building a B2B SaaS business with three revenue streams: platform subscriptions from $500K to $5M annually, data licensing fees of $1 to $10 per data point, and compliance services from $1M to $10M per implementation.
We have confirmed integrations with Google and Meta as customers 1 and 2, representing $8-13M in first-year revenue. We're also targeting Fortune 500 companies implementing AI initiatives and government agencies requiring compliant AI solutions. Average contract values range from $2-8M annually, with customer acquisition costs around $200K and gross margins scaling to 85%."
"Here's our path to $25-40 million ARR in 12-18 months: We'll spend the first 6 months completing our Google and Meta integrations, then launch with Google generating $5-8M and Meta generating $3-5M in annual contracts. We'll add 2-3 additional tier-1 customers to reach $10-15M ARR by end of year one. In year two, we'll scale to 8-12 enterprise customers to hit our $25-40M ARR target.
Our unit economics are exceptional: $2-8M average contract value, 130% net revenue retention, and 85% gross margins. This puts us in position for a premium Series A valuation with Google and Meta as anchor customers proving our model works at scale."
"I'm bringing proven experience as a former COO who has scaled companies from startup to large enterprise. I have deep relationships across the AI and data ecosystem, and I know how to build and lead high-performing teams.
We're implementing a unique talent strategy: a beachfront campus in Ormond Beach or Laguna Niguel with free housing, eBikes, oceanfront pool and gym. This lets us attract exceptional new college graduates at competitive costs while building a tight-knit, high-performing culture.
Our competitive advantage is simple: we're the only player building AI-native compliance from day one, and we're already brokering interactions between all major AI players except DeepSeek and OpenAI. We're not retrofitting marketing tools for AI - we're purpose-built for AI training data with the relationships already established."
"We're raising $10-15 million in seed funding to build this mission-critical infrastructure for the AI economy. With confirmed Google and Meta integrations as our anchor customers, this is your ground floor opportunity in AI infrastructure with validated demand from trillion-dollar companies.
The AI data infrastructure market is massive, growing, and we have the relationships and execution ability to dominate it. We're not just building another startup - we're building the neutral platform that enables the entire AI ecosystem to share data safely and compliantly. Are you ready to build the infrastructure that powers the AI economy?"
On Competition: "Current data brokers weren't built for AI training data. They're retrofitting marketing tools for AI use cases. We're building purpose-built infrastructure with compliance at the core."
On Regulatory Risk: "This is actually our biggest opportunity. As regulations tighten, demand for compliant solutions will explode. We're positioned ahead of the curve."
On Customer Acquisition: "We have confirmed integrations with Google and Meta as customers 1 and 2, generating $8-13M in first-year revenue. This isn't about prospecting - we're the neutral platform that trillion-dollar companies trust to facilitate compliant data sharing between competitors."
On Technical Differentiation: "Our data quality scoring, compliance automation, and enterprise security features are built specifically for AI training workflows. This isn't just another data marketplace."
On Market Timing: "AI adoption is accelerating, regulations are tightening, and current solutions are inadequate. The convergence of these trends creates a massive opportunity window."