MX8 Labs

MX8 Labs is an AI-native research platform that speeds up rigorous survey research: tailored design and fielding, real respondents and researcher control from setup through interpretation. It was started in 2022 by researchers who spent years inside large research firms, watching smart teams lose weeks to work a computer should be doing. The company is led by CEO Megan Daniels and Chief Product and Technology Officer Tom Weiss.

The problem. AI has every business making more decisions, in less time. At the same time, the passive signals marketers relied on are degrading: cookies, mobile IDs, location data and search intent. Asking real people directly is becoming the most durable signal left. The legacy research model cannot keep up.

The platform. MX8 Labs automates the production work of survey research while leaving the methodology in researchers' hands.

• Programming: the most complicated Word document becomes a fully programmed survey in minutes, with edits made in plain English.
• QA: automated link testing, simulated responses and logic checks. Sourcing: 70+ integrated panels, first-party customer lists, bring-your-own sample, conversational SMS and AI voice, all from a single survey build, with live incidence and quality reporting in field.
• Analysis: automatic open-end coding, weighting, statistical testing, crosstabs and report generation.
• Output: export to Excel or pull results through an API into BI tools, data warehouses and AI workflows.

Methods. The platform handles secure creative and concept testing, brand lift measured as exposed versus control with tracked ad exposure, always-on tracking, segmentation, conjoint, MaxDiff and fully custom studies. Multi-country, multilingual studies run from one survey.

Real first. Every study fields on 100% real respondents. Synthetic Twins, AI personas trained on a client's own respondents, allow follow-up questions after field closes. They extend real data and never replace measurement.

Results. Clients see 80% faster delivery and 70% lower production cost. Wunderkind went from two studies a year to more than 24 with no budget increase. Mado Dynamic cut pre-launch testing from two months per study to two days.

Who it is built for. Research agencies, consultancies and corporate insights teams that need to deliver more without losing rigor. Common use cases are creative testing, brand lift and tracking, segmentation, conjoint, MaxDiff and custom studies.

MX8 Labs is SOC 2 attested, with team members in Boston, San Francisco, Mumbai and London.