Opportunity 01 · MPR Platform
Applications repeatedly need identity, access controls, usage tracking, notifications, and customer feedback. MPR Platform brings these capabilities together with AI and media services, so teams can focus on what makes their product valuable.
Founder pitch · 1:59
The founder explains the customer problem, the platform position, and the financing plan.
The platform
Build common capabilities once and use them across applications. Each application uses the services it needs, from user access and credits to notifications, feedback, AI, and media.
Application capability · AI
One customer-facing route for text, image, video, speech, and other provider capabilities. LLM Proxy is the current gateway foundation. The media-provider migration is planned and remains an implementation gate.
Application capability · Media
A production workflow for generation, composition, review, validation, and YouTube publication. MediaOps uses the gateway for provider work while retaining product workflow ownership.
Dictator is a private execution runtime behind the AI Gateway. It is not a separate customer product.
The application platform starts with an AI-native SaaS team with 2–20 engineers, multiple model or media providers, and no dedicated platform team. The funded work turns existing services into one commercial offering with a clear entry point and measurable expansion path.
Evidence boundary
The round starts with working components and public contracts. Customer demand, gateway consolidation, and paid adoption remain the central risks to prove.
Established
To establish
From pilot to repeat business
The 30-account target is a test of a repeatable business. Each account must establish customer value, delivery economics, and a reason to stay.
Start with a founder or technical lead at a team of 2–20 engineers. Review a provider integration or usage problem, then run a proposed 14-day assisted trial using the customer's own workflow.
Recurring pricing will be established from observed value, usage, and support needs. Paid conversion requires an actual payment.
Record provider costs, infrastructure usage, and hands-on support time for each pilot. Compare the workflow with the customer's current approach.
Use collected revenue and measured delivery costs to establish contribution per account and the support capacity needed to grow.
Verify repeated use during the trial and a 30-day retention check. Track whether the same customer adopts another service for a recurring need.
Renewals and wider use establish the case for expansion. Those results guide acquisition spending and commercial staffing.
The financing plan
Two engineers begin immediately. Four senior GTM hires begin in month three. Market capital releases as commercial gates convert.
Seven-service demo, 40 ICP interviews, and 5 active pilots.
Production provisioning, 30 pilots, 12 paid, and a retention baseline.
30 paid production accounts, 8 references, and deeper platform use.
Financing allocations and milestones are planning targets, not statements of current traction.
Marco Polo Research Lab LLC is seeking $5.5M to commercialize MPR Platform, its first defined investment opportunity. Platform is a product offering of the company. This proposal finances the company’s Platform plan; it does not propose a separate Platform entity.
The founder is open to converting the company to a Delaware C corporation as part of financing. The financing instrument, valuation, and final terms remain to be agreed with investors.
Founder
Technical founder and engineering leader
Three decades across infrastructure, AI, financial systems, and product delivery. MPR Platform is the operating layer developed while building and running the lab’s product portfolio.
