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We fund the build. You keep equity. Revenue share starts when systems ship.
Irvine founders in biotech, medical devices, and enterprise software know the value of operational leverage. The right automation eliminates manual handoffs, accelerates sales cycles, and makes a ten-person team feel like thirty. But custom agent work and pipeline infrastructure require upfront capital and engineering focus most companies can't spare in growth mode. MarketStra funds the build—agent development, integration, testing, deployment—in exchange for a share of revenue over twenty-four months. You keep your equity. We cover the operational cost of getting systems into production.
Irvine sits at the center of Southern California's tech and life sciences economy. Companies here span clinical diagnostics, semiconductor design, fintech infrastructure, and education technology tied to UCI. The operational rhythm is precise. Teams move fast but expect systems that don't break. Manual Salesforce updates, spreadsheet-based forecasting, and email-driven customer onboarding don't scale when you're coordinating clinical trials or managing enterprise sales pipelines across time zones.
We've worked with founders whose engineering teams were stretched thin—product roadmaps backlogged, integration debt mounting. They needed custom agents to handle lead qualification, meeting scheduling, CRM hygiene, and document extraction without hiring another engineer or diverting internal resources. That's where our capital goes: funding the people who build, configure, and maintain Claude-based agents tailored to your specific workflows. If your company is in the Irvine Spectrum, near UCI Research Park, or anywhere in the tech corridor, this model fits the way you already operate.
MarketStra deploys operating capital to fund the team, infrastructure, and execution required to build and launch AI agents and automation workflows. We cover agent development costs—prompt engineering, API integration, testing, monitoring, iteration. We fund the people doing the work: strategists, engineers, QA, account managers. You fund any third-party service costs that aren't labor (Anthropic API usage at scale, data storage, external integrations with per-seat fees). The distinction matters: we pay for the build and the team running it; you cover infrastructure that scales with usage. You don't give up equity. We take a percentage of revenue over twenty-four months. The partnership starts with a diagnostic—we map current workflows, identify automation opportunities, estimate ROI, and scope the build. Then we move into production. If the agents don't ship or deliver measurable lift, the model doesn't work for either of us.
We build agents that fit your workflow. Common use cases: lead qualification and routing, meeting scheduling and follow-up, CRM data enrichment, document parsing for contracts or clinical data, customer onboarding sequences, sales handoff automation. If the task is repetitive, rule-based, or involves structured data extraction, it's probably automatable. We scope based on your team's actual bottlenecks, not a prebuilt feature list.
Our capital funds the additional capacity needed to build and maintain agents without pulling your engineers off product work. We bring in the people, tools, and process to handle agent development in parallel. Your team stays focused on core product. We handle the automation layer. You're not paying us upfront—we take revenue share once systems are live and delivering value.
We fund operational costs: the team building agents, strategy, integration work, testing, account management, ongoing iteration. You fund third-party usage costs that scale with volume—Anthropic API calls beyond the base tier, data storage, per-seat SaaS tools we integrate with. If it's labor or execution, we cover it. If it's infrastructure that grows with usage, that's on your side. We make this split clear during the diagnostic so there's no confusion.
First agent typically ships within 60 to 90 days depending on complexity and integration requirements. Simple lead qualification or scheduling agents can go live faster. More involved workflows—document extraction tied to internal databases, multi-step approval chains—take longer. We prioritize quick wins first, then layer in more sophisticated automation as we prove value.
We own the build and the ongoing maintenance. If an agent underperforms, we iterate until it works or we kill it. If it breaks in production, we fix it. Our incentive is to deliver systems that generate measurable lift, because we only make money when you do. If we can't get it right, the revenue share model self-corrects—you're not stuck paying for something that doesn't work.
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