Metaforms is "honest and solid" AI infrastructure for research delivery teams, and more than 35 research organizations are already using it for research operations. It helps market research agencies and sample providers standardize and scale delivery, with its agents working alongside teams within the workflows they already use.
Purpose and Positioning
Metaforms primarily addresses bottlenecks in research delivery, especially questionnaire programming. Most teams see questionnaire programming as the tightest bottleneck, so this is the most logical starting point. Its questionnaire programming agent takes a questionnaire, applies a base template and custom coding conventions and rules, and generates code for 3-5 questions at a time. Users can accept or reject suggested changes one by one, directly edit the output, or ask the agent to make revisions; the agent carries the corrections into the next generation round.
Key Capabilities
- Questionnaire programming: collaborate with the agent on the questionnaire platform you already use. Metaforms supports Decipher and Dimensions in its programming workspace; in Qualtrics and Confirmit, the agent works through in-platform extensions.
- Tracking and revision management: upload revised questionnaires as the new single source of truth, and Metaforms compares them with the version in programming and raises clarifications, then presents suggested changes question by question, with controls to protect collected data and tracking history.
- Support for tracking workflows: help teams compare versions, review affected questions and logic, and protect IDs, labels, stored values, data layout, quotas, and history.
- Delivery process: smoother from intake to handoff, with less stalling between stages; take on more projects without adding staff; keep output auditable and standards consistent.
How It Works
Teams can choose two ways to collaborate:
- Professional services process: used alongside the current platform. Questionnaires remain on the current platform, and Metaforms helps teams execute faster, with auditable output and unified delivery standards.
- Agent process: takes on projects end to end. Starting from research objectives or documents, Metaforms helps turn them into research that the team can review and publish, with human checkpoints set up along the way.
Applicable Scenarios
Suitable for research delivery teams such as market research agencies and sample providers, and especially for organizations that want to improve questionnaire programming efficiency, expand delivery capacity, and protect quality and margins. Teams need several weeks of actual use, templates, AI rules, and support to see the full efficiency curve. Once programming speeds up, the next constraint (such as questionnaire design, QA, tracking waves, validation, tabulation, or reporting) becomes easier to see, Metaforms design supports adding incrementally once the next workflow genuinely becomes a delivery constraint.
Support and Pricing
Metaforms provides 24/7 support, with support requests monitored by real people, targeting a response within 30 minutes. Support channels include Slack or Microsoft Teams account channels, support email and tickets, help center materials, and recorded courses. Pricing is per project rather than per seat or token: a fixed price is paid for the projects and modules included in an annual plan, and seat and token usage within a project does not drive billing.
Security and Compliance
Metaforms has passed information security reviews by some of the world's large research institutions and sample suppliers. Its security posture is independently verified through ISO/IEC 27001 certification and a SOC 2 Type II report, and an independent penetration test is commissioned annually. Other measures include: HIPAA compliance; data is not used to train or improve any AI models; every AI output requires user review and approval; data isolation; AES-256 at rest and TLS 1.2+ in transit; HTTPS-only endpoints; enterprise SAML SSO and MFA; role-based permissions; multi-Availability Zone automatic failover; continuous backups supporting point-in-time recovery; incident response within 5 minutes; code change review and testing; dependency and software supply chain scanning; US or EU data residency support; configurable retention periods and permanent data deletion.
Limitations and Notes
Official materials do not provide details such as a free trial, specific pricing, supported languages, or a complete list of platform integrations, and these are not yet available. Before adopting, teams should note that several weeks of actual use and configuration of templates and AI rules are needed to see the full efficiency gains.