Loading...
Loading...
A zero-trust architecture designed from the ground up to protect sensitive research data at every layer of the stack.
End-to-end data flow from respondent voice to actionable insights, secured at every step.
Voice interview conducted via browser or phone. All connections secured with TLS 1.2+. No plugins or downloads required.
Speech-to-text via Deepgram, emotion detection, and speaker diarization. Audio is processed in real time and never stored.
Transcripts stored on AWS US-East infrastructure. Encrypted at rest with AES-256. Anonymized by default with configurable retention.
Thematic coding, sentiment scoring, and PEP (Purchase Enthusiasm Potential) calculation. Your data is never used to train models.
Role-based access with full audit logging. Export data in standard formats. Granular permissions at project and team levels.
Defense in depth: multiple independent layers protecting your data at every level.
VPC isolation with private subnets, Web Application Firewall (WAF), and DDoS protection via AWS Shield. All traffic is filtered and inspected at the edge.
TLS 1.2+ for all data in transit. AES-256 encryption for data at rest. Encryption keys are managed through AWS KMS with automatic rotation.
SSO integration (SAML 2.0, OIDC), multi-factor authentication, and JWT tokens with short expiry windows. Session management with automatic timeout.
Role-based access control (RBAC) with least-privilege defaults. Every data access is logged. Permissions configurable at org, team, and project levels.
Tenant-level data separation ensures no cross-contamination between clients. Each organization operates in a logically isolated environment.
24/7 automated alerting with anomaly detection. Real-time threat monitoring, structured incident response, and quarterly penetration testing.
Our team is ready to walk through our architecture in detail, provide compliance documentation, or answer your security questionnaire.