Built by
Researchers
...for
Researchers

Started with a simple goal: make research x8 better. Twice as fast, twice as many surveys, and half the price. Hence MX8 Labs was born.

Backed by $1.5m in seed funding, we fielded our first surveys at the end of 2023 and formally launched in August 2025.

Megan Daniels
Megan DanielsCEO
Tom Weiss
Tom WeissChief Product & Technology Officer
  • 20+ years in market research at Forrester, Phoenix, and MarketCast
  • Led 60+ analysts delivering for AT&T, eBay, Chewy, Pfizer, and Liberty Mutual
  • Former Chief Data Scientist at Inscape and MarketCast
  • Created multiple data solutions now part of GfK, Ericsson, Verimatrix, and MarketCast
Michael Collette
Michael ColletteChairman of the Board
Shannon Jessup
Shannon JessupChief Revenue Officer
Roger Bird
Roger BirdCFO

What We Believe

Research Should Be Fast

The best insights are the ones that arrive while they're still actionable. Speed isn't a luxury—it's a necessity.

Quality Without Compromise

Automation doesn't mean cutting corners. Every survey we run meets enterprise-grade standards for data quality.

Researchers Are Essential

AI handles the operations. You focus on strategy, design, and insights. That's how it should be.

Transparency Matters

Simple pricing, clear processes, and full control over your research. No black boxes.

Why we built this company

We spent years inside large research firms watching smart teams lose weeks to work a computer should be doing. Programming a survey took days. QA took days more. Fielding was opaque. Reporting was a deck-building exercise. By the time an answer landed on a stakeholder's desk, the decision had often already been made. That gap between question and answer was the whole problem.

The economics didn't help either. Pricing was negotiated study by study, rarely transparent, and padded with fees that had nothing to do with respondents. Buyers never knew what a study should cost. Research teams never knew what they could promise. Everyone worked around the same broken middle.

AI changes the math. The mechanical work — programming, checking, tabulating, writing first-draft commentary — is exactly the work large models are good at. That means a research team can run more studies, field them faster, and spend their time on the parts of the job that actually require a researcher: framing the question, interrogating the data, and telling the business what to do. Buyers get answers in days instead of weeks, at a fraction of the cost. That's the company we wanted to work at, so we built it.

Ready to join us?

Let's transform how research gets done.

Get in Touch