Seed Round — Open to Accredited Investors

Alpha Hub is an AI-native operating system for private capital, serving 16 customer types on a single platform. These range from individual founders and angel investors to fund managers, family offices, and institutional allocators.

Our sourced universe includes approximately 240,000 total addressable accounts (TAM), with approximately 90,000 serviceable accounts (SAM) and a Year 5 target of 6,000 accounts (SOM). The plan projects approximately 3,350 active customer accounts by Year 5.

Each strategy serves a different purpose. Our self-service, product-led growth model is designed to acquire high volumes of smaller accounts at a very low cost while helping seed the network. Our sales-led strategy focuses on acquiring fewer, significantly larger accounts and expanding those relationships over time. We evaluate each strategy based on its own unit economics.

Using benchmark-stressed acquisition costs, blended LTV/CAC is approximately 3.8x at maturity, with a payback period of approximately 14.5 months. Self-service reaches approximately 6.7x LTV/CAC with a payback period of approximately six months, while sales-led reaches approximately 3.4x with a payback period of approximately 18 months. CAC represents approximately 0.4x ACV for self-service customers and 1.1x ACV for sales-led customers.

The blended figure reflects the composition of our customer base. Approximately half of our customer accounts are prosumer or episodic users, such as founders whose needs may peak during a fundraising cycle. These accounts naturally experience higher churn. Our recurring and sales-led customer base retains approximately 92% of customers and reaches approximately 119% net revenue retention.

Yes. Sales-led net revenue retention reaches approximately 119% at maturity, helping increase blended net revenue retention to approximately 112%. Self-service is primarily treated as a customer acquisition channel, with approximately 99% net revenue retention. Growth therefore comes from a combination of new customer acquisition and expansion within sales-led accounts.

Segments that reach the five-year lifetime cap are clearly identified as capped, while the underlying differences between uncapped segments remain visible. LTV is deliberately capped to avoid overstating customer lifetime value.

The P&L is based on our planned operating CAC, which reflects our expected channel mix. Importer partners, including accelerators, syndicate leads, and brokers, can bring entire customer cohorts onto the platform at very low acquisition costs, while self-service customers require no direct sales expense. For LTV/CAC reporting, however, we use the more conservative industry-benchmark CAC. This prevents our reported unit economics from being overstated by our lower planned acquisition costs. If our channels perform as expected, actual acquisition costs will be lower. If they do not, the reported LTV/CAC ratio already reflects benchmark acquisition costs.

We have modeled this as a downside scenario within the financial model. Under full benchmark CAC assumptions, EBITDA breakeven moves from Year 5 to Year 6, and the business would require approximately $15 million to $17 million in additional capital. This scenario allows investors to evaluate the planned CAC assumptions against a more conservative benchmark case.

The model projects EBITDA breakeven in Year 4.

The initial build is front-loaded to support product development and establish both go-to-market strategies. Approximately 74% of the team is based in Costa Rica, which helps contain Year 1 operating costs. Revenue per employee is then projected to increase significantly beginning in Year 2.

Gross margin is projected to increase from 57% in Year 1 to approximately 75% at maturity. The model accounts for AI inference costs and nearshore customer success expenses, resulting in a conservative mature margin assumption for the category.

The primary valuation methodology is a Gordon Growth DCF, which produces an enterprise value of approximately $361 million. This is cross-checked against public company comparables at approximately $392 million, with an exit-multiple DCF of approximately $594 million used as an additional upper-range reference. The primary DCF and public comparables are within approximately 8% of each other.

Alpha Hub plans to raise a total of $15.2 million across two rounds. Seed 1.0 consists of $5.2 million to fund general product availability, initial revenue generation, and the core team. Seed 2.0 consists of $10 million to support continued scaling toward Year 5 breakeven. Investors are projected to own approximately 15.1% of the company on a fully diluted basis.

Based on the modeled exit, Seed 1.0 investors are projected to receive approximately a 6.5x return, equivalent to an approximately 45% IRR. Seed 2.0 investors are projected to receive approximately a 5.6x return, equivalent to an approximately 33% IRR.

Terminal value represents approximately 70% of the Gordon Growth DCF. This is slightly above the company's target range of 55% to 65% and is disclosed accordingly. The public comparables analysis provides an additional cross-check on the overall valuation.

The financial model is fully driver-based, with revenue generated from underlying funnel assumptions rather than manually entered revenue figures. It includes 33 integrity checks, monthly and annual reconciliation, a balancing balance sheet, and a single scenario selector for Conservative, Base, and Aggressive cases.