Information Asymmetry Is Killing the Labor Market

Job seekers miss the majority of available opportunities because traditional platforms only capture jobs that employers post publicly. Most roles are filled through channels invisible to standard job boards.

Workforce development programs spend $8.5B annually in the US alone - with zero visibility into whether their training leads to employment. Programs can't measure what works, so effective programs can't scale and ineffective ones waste public funding.

The result: Job seekers waste months searching. Programs lose funding because they can't prove ROI. And $240B in OECD labor programs globally are operating blind - until now.

Token-Based Pricing. Pay for What You Use.

Every platform interaction consumes tokens. No seats. No licenses. No procurement wall. Clients buy tokens and scale usage naturally.

Consumer (High Volume, Lower ARPU):

• Free tier drives user growth and data collection - every user generates behavioral data
• $4.99/month premium subscriptions (8.2% conversion rate, improving 0.4% monthly) (2027 roadmap*)
• Current metrics: 1.8M active users, $0.32 CAC

Enterprise & Government (Lower Volume, High ARPU):

• Token-based pricing eliminates procurement walls - under threshold requires no RFP
• Multi-year contracts with 22+ month average lock-in
• 4-6 week deployment vs 7+ months for legacy systems
• Current traction: $6M contracted value, $13-27M active pipeline, 45+ demos booked, 20+ bids across the U.S. and abroad

Data & Financial Services (High Margin, High ACV) (2027 roadmap*):

• Institutional-grade workforce intelligence for hedge funds, PE firms, and corporates
• 94.7% earnings correlation - hiring velocity predicts stock movement before earnings
• Delivered via API, Snowflake, S3, or flat files
• $150K-$300K annual contracts in a $30B+ alternative data market

Why This Model Works: Consumer side generates the supply-side behavioral data no one else has. Enterprise side monetizes it through compliance-mandated contracts. Financial data licensing turns the same asset into a high-margin revenue stream. 80-85% gross margin across all three engines.

This statement contains forward-looking information and projections. Actual results may differ materially.

This Isn't a Pitch. It's Proof.

We didn't build a deck. We built a product that 1.8M people use and programs are buying - without a sales team.

Key Metrics:

• $6M - Multi-year enterprise contracts, $500K current ARR, growing to an estimated $1.2M by Q1 2027
• 1.8M - Active users generating supply-side data at $0.32 CAC
• 21 Nodes - On-prem K8s cluster, 600+ CPUs, 2TB RAM, self-hosted RKE2. No cloud lock-in. 20x cheaper than enterprise average.
• $13-27M - Government sales pipeline across multiple states ($5-15M replacement cycles)
• 45+ demos - Booked across universities and workforce boards with 100% follow-up rate

Enterprise Pipeline Highlights:

• International government ministry - 15,000+ participants deployed
• University and higher ed clients - ~500,000 students across multiple institutions to start in Fall

These statements contain forward-looking information. Actual results may differ materially. Past performance is not indicative of future results.

Beachhead: $22B US. TAM: $240B OECD Global.

Government workforce programs represent the largest underserved B2B opportunity in employment technology. Unlike consumer job platforms, no one provides comprehensive workforce intelligence to the agencies spending billions on employment programs.

Our addressable markets:

• $240B - OECD Labor Programs: Global active labor market spend
• $30B+ - Alternative Data: Hedge funds and quant trading firms buying workforce signals
• $22B - US Workforce (Beachhead): 550+ WDBs, WIOA-mandated compliance
• $2.1B - Career Services Tech: 4,500 universities, career centers

Why Now: Three forces converged in 2025. (1) WIOA mandates $3.9B in annual funding with outcomes tracking requirements. (2) AI made supply-side data processing possible at scale for the first time. (3) Incumbent architecture cannot adapt - Geographic Solutions' .NET stack dates to 2002, major 2022 breach, 40+ states actively replacing. The window is 2026.

Go-to-Market Phases:

1. Government Workforce (NOW) - Captive buyers with compliance mandates and allocated budgets
2. Higher Education (2026-27) - 5,800+ schools, enrollment declining, "what happens after graduation" is mandatory
3. Financial Data (2027+) - The $30B play. Supply-side signals that institutional buyers cannot get elsewhere

$2M Bridge to A

Seed extension accelerates enterprise platform development and government workforce market capture. The A round will end up going towards:

• Enterprise platform development (compliance/FERPA, SOC2, etc.) - $6M
• Core AI/ML development (deepen our technical moat) - $5M
• Key hires (engineering, enterprise sales) - $2M
• Enterprise sales and marketing (pilot program costs) - $1M
• Operations + extended runway - $1M

18-Month Milestones to Series B:

• Scale to $3M+ ARR through 50 institutional clients
• Launch financial data product with 2-3 hedge fund clients
• Grow to 5M+ consumer users and deepen supply-side data moat
• Win 4+ government contracts from submitted RFPs
• Expand engineering team to 8 and build dedicated sales org

This section contains forward-looking information. Actual results may differ materially.

Built by People Who Understand Both Sides

Lacey Kaelani (CEO) Former recruiter who placed thousands of candidates across industries. Built labor marketplace at previous startup (acquired 2022). Understands the broken labor market from the inside and a passion to fix it. Built Metaintro from zero to 1.8M users. Leads enterprise and government sales directly.

Brad Larson (CTO) Experienced CTO with 10+ years scaling HR technology platforms, from zero to one. Passion for using AI to disrupt legacy markets. Built Metaintro's real-time matching engine.

Natan Dahan (CPO) Ex-Moody's, JPMorgan lead engineer with extensive experience building data-driven products used by millions. Architect of Metaintro's web intelligence engine (Snappy), 20x infrastructure cost advantage, and kai AI memory system. Expert in data privacy and compliance.

Backed by:

• Brownstone Research (raised via Republic, 2022)

• Druid Ventures (partners now leading ARK Venture's early-stage efforts)

• Google for Startups, AAVE, NEAR, Untapped, Ziba Capital