MKTiQ

9 in 10 startups fail. MKTiQ doubles their odds by accelerating Product-Market Fit with an AI-guided process that makes talking to customers and gathering insights effortless.

To date we have bootstrapped our proof of concept methodology and AI analysis with potential customers, investors, and entrepreneurs. We've sold our service to our first client before we even have our SaaS built. MKTiQ has used it's validation process and AI analysis to guide a startup from it's initial idea to bootstrap PoC to first initial injection of outside funding.

We are now seeking $450k to hire our development team that will take our AI driven workflow and analysis and built it out into a scalable SaaS platform.

We’re tackling the #1 killer of new businesses: their inability to find Product-Market Fit.

9 out of 10 startups fail, and 80% of those failures trace back to skipped validation: founders are told to talk to customers early, but too often rely on instinct, delay outreach due to rejection anxiety, or default to “build first” and end up shipping features nobody wants.

MKTiQ embeds proven research practice into a seamless, AI-driven five-step workflow—Calibrate, Design, Collect, Analyze, Decide—that guides founders through every customer conversation, automatically mapping assumptions, generating the right questions, recording interviews, and instantly distilling feedback into clear “Go,” “Pivot,” or “Kill” recommendations.

By re-packaging proven Big Corporate research methodologies into a self-serve Ai-driven SaaS for startups, we boost startup success rates to ≥20%—more than doubling the 10% industry baseline

MKTiQ’s revenue model blends tiered SaaS subscriptions with on-demand validation services: founders can run a one-off AI-guided validation for $50–200, subscribe to Solo and Growth plans ($300–2,500/year), or license Partner and Enterprise editions ($5,000–25,000+/year) for accelerators, incubators, and corporate innovation teams. This approach ensures predictable recurring ARR, seamless upsells as customers scale, and high-margin add-ons—like on-demand user panel recruiting and psychographic chatbots—capturing value throughout a startup’s journey