Minds EU Hosting and Data Security FAQ

Minds processes synthetic research workloads in dedicated European Union infrastructure for European workspace deployments, protecting uploaded stimuli with end-to-end transport encryption and isolated workspace storage. Simulated outputs generated by Minds PRISM provide directional, context-dependent insights without processing human participant personal information, helping enterprise teams maintain strict data hygiene across commercial research workflows.

Below is an overview of the data architecture, infrastructure isolation, and procurement requirements for security teams evaluating Minds.

Enterprise Security Context for Procurement and Information Security Teams

This technical FAQ is designed for Chief Information Security Officers, enterprise procurement leads, data protection officers, and insights directors conducting vendor due diligence on synthetic audience simulation infrastructure. When enterprise teams transition directional research from external human panels to internal synthetic workflows, vendor review shifts from human participant privacy management to infrastructure security, source isolation, and tenant segregation.

Minds provides a unified environment for commercial synthetic research. It combines qualitative exploration, survey methodologies, and quantitative designs such as MaxDiff in a single platform. Ensuring that early-stage product concepts, unreleased campaign messaging, and confidential UX prototypes remain secure is critical to enterprise adoption.

Deep Walkthrough of the Minds Security and Hosting Architecture

Understanding the Minds data protection model requires examining how research assets move through the platform from initial stimulus upload to final simulation export.

Minds PRISM and Tenant Data Isolation

At the foundation of every simulation is Minds PRISM, the proprietary reasoning, inference, and source-modeling engine beneath every Mind. When your team uploads concept copy, brand guidelines, product specifications, or Figma prototypes where enabled, PRISM combines these permitted research inputs with public-source context to simulate audience responses.

Tenant data isolation ensures that your proprietary inputs, custom audience configurations, and research results are strictly partitioned. Customer inputs are not blended across unrelated enterprise workspaces. Specific customer data handling and deployment requirements should be assessed for the configured workspace during onboarding.

Cryptographic Standards and Access Governance

Minds enforces strict encryption standards across the entire application lifecycle:

• Data in transit is protected using modern TLS 1.3 encryption protocols, preventing eavesdropping and interception across all API calls and interactive sessions.
• Data at rest is encrypted using industry-standard AES-256 protocols across databases, object storage, and backup systems.
• Workspace access controls allow administrators to invite unlimited team members and free viewers with role-based access, ensuring that internal collaborators only access authorized Studies.

Zero Human Participant PII Exposure

Traditional consumer research introduces severe compliance friction because teams must gather, store, and process personal data from thousands of external human respondents. This requires complex consent tracking, GDPR Subject Access Request mechanisms, and vendor data processing agreements across multiple third-party panel providers.

In contrast, Minds runs synthetic research on simulated Minds. No human participants are recruited, incentivized, or monitored. By removing human respondent tracking from the research loop, teams eliminate respondent identity leakage risks while evaluating high-velocity product concepts.

Comparing Synthetic Security Models Against Traditional and Point Tools

When enterprise security teams evaluate synthetic research, they typically weigh Minds against legacy panel aggregators, generic enterprise LLMs, and fragmented point tools.

Legacy Human Panel Providers

• Advantages: Traditional panels provide observed real-world human feedback for late-stage regulatory or physical sensory testing.
• Disadvantages: High PII overhead, complex multi-processor data chains, cross-border data transfer concerns, and recurring incentive costs.
• Security posture: Requires continuous monitoring of external panelist privacy compliance and vendor audit trails.

Generic Chatbot and LLM Interfaces

• Advantages: Low initial friction for ad-hoc internal brainstorming.
• Disadvantages: Generic chat interfaces lack structured research workflows, deterministic calculation engines, and validated survey question structures like MaxDiff. They often risk cross-contamination unless configured with strict commercial enterprise contracts.
• Security posture: Poor research reproducibility, lack of structured audience isolation, and no specialized quant or qual research controls.

Minds Synthetic Research Platform

• Advantages: Unified end-to-end synthetic research platform combining qualitative open-ended questions, structured scales, and quantitative MaxDiff on PRISM. Hosted in EU infrastructure for configured workspaces with zero human participant PII risk.
• Disadvantages: Outputs are directional and context-dependent; physical testing and regulated clinical trials still require real-world human evidence.
• Security posture: Isolated workspace storage, robust encryption, and centralized administrative controls.

When Minds Fits Your Security Framework and When It Does Not

Minds is built for commercial synthetic research across marketing, brand strategy, UX exploration, and product innovation.

Ideal Scenarios for Minds

• Pre-testing confidential campaign claims, packaging concepts, and product positioning before public disclosure.
• Simulating user interaction on Figma prototypes, app flows, and website copy where enabled, without exposing unreleased designs to public panel recruits.
• Executing rapid qualitative and quantitative Studies, including MaxDiff trade-off analyses, within an enterprise-controlled environment.
• Reducing external vendor data sprawl by consolidating synthetic qual and quant workflows into one platform.

Scenarios Outside Minds Scope

• Regulated clinical, medical, or legal trials requiring certified human subjects.
• Representative price-point elasticity research demanding audited economic transactions.
• Political polling and statutory public opinion measurement.
• Final physical or sensory product validation requiring tactile human observation.

Transparent Pricing and Enterprise Onboarding

Minds offers transparent pricing tiers designed to accommodate individual research teams through global enterprise deployments:

• Pay as you go: 0.12 EUR or 0.12 USD per response. Includes unlimited workspace users, free viewers, shared prepaid responses with carryover, up to 10 saved Audiences per workspace, 200 Minds per Audience, Studies, methods, exports, standard integrations, API, and MCP access. Single Sign-On is excluded. DE-account EUR and USD prices include applicable tax; US-account USD prices exclude applicable sales tax.
• Pro: 199 EUR per named user monthly or 1,990 EUR yearly including VAT. Includes 5,000 shared responses per user monthly and 25 saved Audiences per user.
• Enterprise: Starting at 15,000 EUR yearly excluding VAT. Includes custom contractual usage, custom deployment terms, dedicated security review support, and organizational administrative governance.

Registration is free and creates your workspace without upfront response allocations. To evaluate enterprise deployment options and begin configuring secure synthetic research for your team, create your account and review workspace options directly at Minds Platform Registration.