Venture Studio compresses that to 30-90 days (median time to first revenue in pilot cases) using AI-powered venture creation, productized execution, and smart capital.
Early-stage B2B founders, dev studios, and corporate innovation teams face structural inefficiencies that burn capital and time before achieving market proof.
6-12 months wasted before first revenue, with expensive teams burning cash before demand is proven.
Founders struggle with what to build, relying on fake validation from interviews and surveys instead of actual sales.
High burn rates before demand proof, with capital wasted on building the wrong product.
Traditional agencies sell execution hours, not outcomes. No skin in the game, no accountability for results.
Result: Capital and time burned before real market proof
INFINITI Idea Factory is a repeatable AI-powered venture creation system that delivers speed, structure, and risk reduction.
We sell outcomes, not hours
AI-generated B2B ideas based on real market signals, ICP analysis, and demand proof.
Complete packaging: landing page, MVP scaffold, GTM plan, and pricing hypothesis.
AI agents plus human experts for sales, research, and product development.
Median 30-90 days from idea to first revenue in pilot cases. Revenue-first validation approach.
Productized services with clear deliverables and optional equity upside
Margin: 76% | Delivery: 7-14 days
Margin: 67% | Delivery: 3-6 weeks
Margin: 56% | Delivery: 6-12 weeks
Target unit economics based on pilot case performance and productized service model
5-Year Projection: $360k → $4M revenue
Based on conservative growth scenario with proven unit economics
A compounding system that improves with every launch
Analyzes ICP, market signals, pain points, and budgets to generate and rank venture ideas. Filters by budget, urgency, MVP speed, and GTM clarity.
Auto-generates value propositions, landing copy, pricing hypotheses, and GTM plans. Human review only at the final step.
MVP scaffold generator, sales agent for outreach and qualification, research agent for competitors and pricing, analytics and feedback agent.
Tracks what sold, which ICP, which pricing worked. Improves future idea quality and creates a compounding advantage. This is the moat.
ICP TAM (Focused Addressable Market)
$500-800M
B2B dev studios, early-stage founders, corporate innovation teams
SAM (Serviceable Addressable Market)
$150-250M
English-speaking markets with digital product focus
SOM (Serviceable Obtainable Market, 5-year)
$15-25M
Conservative capture rate with current resources
Growing shift from idea-first to revenue-first validation in B2B product launches.
Valuation shifts from services multiple to platform multiple
Answers to common investor questions about our model, market, and defensibility
Our ICP TAM focuses on three specific customer segments: (1) B2B development studios and agencies (15,000+ globally), (2) early-stage founders seeking productized launch services (30,000+ annually), and (3) corporate innovation teams with venture-building mandates (5,000+ teams). We calculate TAM based on average spend per customer ($15k-50k annually) on product development, validation, and GTM services. This is a conservative, bottom-up calculation focused on our Ideal Customer Profile rather than the broader $2.5-5B venture studio market.
We don't guarantee it—30-90 days represents the median time to first revenue observed in our pilot cases, not a contractual guarantee. This timeline depends on multiple factors including customer responsiveness, market conditions, ICP fit, and execution quality. Our productized playbook and AI-powered tools significantly compress the traditional 6-12 month timeline, but actual results vary by project. We focus on revenue-first validation to prove demand quickly, but timing can differ based on specific circumstances.
Our pilot cases include B2B SaaS products launched through our productized service packages (Launch Kit, MVP-in-a-Box, Full Launch Partner). We track time from initial engagement to first paid customer, gross margins, customer acquisition costs, and customer lifetime value. Pilot data informs our target unit economics (65% gross margin, 10-15x LTV/CAC) and median time-to-revenue metrics. As we scale, our AI learning loop continuously improves these metrics by identifying which ideas, ICPs, and pricing strategies perform best.
Our moat is the proprietary learning loop built into our AI Core. With each venture we launch, we capture data on what sold, which ICP responded, which pricing worked, and which GTM strategies succeeded. This creates a compounding advantage—our Idea Engine and Packaging Engine improve with every project, making our recommendations more accurate over time. Traditional agencies lack this data flywheel, venture studios can't scale it, and AI dev tools don't have the full-stack context. Our dataset becomes more valuable as we grow, creating network effects that are difficult to replicate.
Traditional agencies sell hours, we sell outcomes. They bill $100-200/hour with no accountability for results, while we offer fixed-price packages with clear deliverables and revenue-focused validation. Our AI Core automates 80% of the packaging and research work that agencies do manually, allowing us to deliver 10x faster at a fraction of the cost. We also have skin in the game—we can take equity stakes in successful ventures, aligning our incentives with customer success rather than maximizing billable hours.
Our SAM reflects realistic constraints: we focus on English-speaking markets (US, UK, Canada, Australia, EU) where we can deliver services with our current team capabilities. We target B2B SaaS ideas compatible with AI-automation and low-code/no-code approaches, which is a subset of the broader venture studio market. This conservative scoping ensures we can maintain quality and achieve our target unit economics. As we scale our AI capabilities and expand geographically, our SAM will grow, but we prefer to underpromise and overdeliver rather than present inflated market sizes.
Raising $250k-500k Pre-Seed
Schedule a meeting with Paul Dealman to discuss the investment