
Metaforms
Honest, useful, and effective AI infrastructure for every research delivery team in the world.
Metaforms Overview
What is Metaforms?
Metaforms is the Agentic OS for Market Research. We build AI infrastructure that helps agencies and panel providers operate with the speed, quality, and scale of an AI-native company.
In plain language, we make research delivery faster and easier, with AI agents that work alongside your team at every step — from designing the research to the final report.
These agents help draft questionnaires, program surveys, test live links, handle revisions and trackers, validate data, clean and code open ends, create tables, and prepare reporting output. They run inside a shared unified workflow, so the context your team adds in an earlier stage is preserved across the lifecycle of the project.
Your team gets value from Metaforms without changing the platforms, templates, workflows, and review habits it already works with. We support all major survey programming platforms such as Decipher, Confirmit, Qualtrics, and Dimensions.
Headquartered in New York, Metaforms serves the world’s top agencies and data partners like Dynata, Konovo, GLG, Purespectrum, Escalent, Human8, Prodege, and Strat7.
A unified agentic platform, organized by one module for each stage
Usually, teams start with Survey Programming, their tightest bottleneck. From there, they may add other modules as more of their delivery work moves into Metaforms.
Here’s the full suite of modules inside Metaforms:
Research Manager
Helps your team review and shape questionnaires before programming begins.
Survey Programming
Turns a questionnaire into a survey your programmer can review in batches before launch. We’ve designed it to work with the survey platforms your team already uses, including Decipher, Dimensions, Confirmit, and Qualtrics.
Change Management
Compares revised questionnaires and helps your team review downstream dependencies, including tracker wave updates.
QA and Link Testing
Tests a live survey link against the questionnaire so issues can be fixed before fieldwork.
Data Validation
Checks collected responses against questionnaire logic and project rules.
Open-End Coding
Cleans and codes open-text responses with your team reviewing the code frame and assignments.
Tabulations
Creates tables from validated data and the analysis plan.
Reporting
Helps turn validated data and tables into report-ready output.
You may only use one of these modules today. That is fine. Metaforms is designed so each module can be useful on its own, while still fitting into the same project workflow when your team adds more.
A reliable way for any research team to integrate AI in their delivery operations
Working with agents isn’t quite like using regular software. It’s still software, sure, but now it can actually think. Which means, now, you’re also teaching the system how your team likes things done!
Metaforms lets seasoned research teams hand work to agents without handing over judgment, because every output still passes through someone who knows what good looks like. An agent programs a small batch of questions, your team checks it and gives feedback, and the next batch uses that feedback. If the output needs a frequent correction, that correction can become an AI rule. If a setup is going to repeat, it can become a template.
This is what makes agents useful in real research operations. Your standards become part of the next piece of work the agents generate. And this is also how agents become dependable enough for real production work. They do the heavy lifting, your team checks and corrects what comes out, and the whole system sharpens as your team feeds it better rules.
