The Challenge
Organizations today collect vast amounts of data but struggle to understand the actual experiences or thoughts of their subjects. They often rely on internal bias or incomplete information. While manual interviews provide depth, they are notoriously slow, expensive, and difficult to scale. Dactic needed a solution to automate these high-depth conversations securely and at scale without requiring prior research expertise from users.
Solution Implemented
Valere developed Dactic, a comprehensive AI interview platform featuring a tailored questionnaire generator and an automated processing engine. The solution allows participants to engage via video, audio, or text. Meanwhile, the AI aggregates these conversations to surface evidence quotes and structured reports. We built the platform on a robust AWS serverless architecture to ensure secure data handling and automatic scaling that meets fluctuating interview volumes.
About the Company
Mission
Dactic simplifies the process of gathering qualitative human input to empower organizations with clarity. The company’s platform addresses the gap between massive data collection and actual human understanding. This helps teams replace assumptions with evidence-backed confidence. By focusing on “real human input,” Dactic differentiates itself from traditional survey tools. It maintains the depth of a personal interview while leveraging the speed of automation.
Key Leadership
Gabriel Teixeira (Director at Dactic) envisioned a platform to serve as a milestone for Valere’s engineering and AI capabilities. He sought to build a system from the ground up to allow teams to make clearer decisions using real conversations. Throughout the development, his leadership focused on ensuring the platform could evolve quickly while maintaining a high standard of quality in the insights it delivers.
The Challenge: Solving Manual Research Bottlenecks
When Valere began developing Dactic, we identified a significant friction point in how teams gather qualitative insights. Traditional methods failed to keep pace with the modern need for rapid, data-driven decision-making. Manual interviews were impossible to scale due to the time and cost human moderators required.
Why Dactic Partnered with Valere for AI Native Solution Development
Valere created, owns, and operates Dactic. This partnership represents more than vendor delivery; it reflects Valere applying its own standards, frameworks, and AI philosophy to build a product from the ground up. We designed it to demonstrate how to transform qualitative human input into structured, evidence-backed intelligence at scale.
The Solution: Engineering an End-to-End Interview Platform with AWS to Automate Qualitative Research
Valere engineered Dactic as a fully integrated AI-native platform to automate the entire qualitative research lifecycle. The system moves seamlessly from context definition and intelligent questionnaire generation to AI-conducted stakeholder interviews, structured analysis, and evidence-backed reporting. Rather than layering AI onto a traditional survey tool, we built Dactic as a unified decision-support system where every stage of the workflow feeds into the next.
We designed the architecture for enterprise performance, security, and scalability from day one.
The frontend and deployment layer leverage AWS Amplify to streamline continuous delivery.
Amazon CloudFront ensures reliable global distribution of media and assets.
Elastic Beanstalk manages the application and AI processing layers, orchestrating model interactions and business logic.
SQS and SNS coordinate asynchronous workloads, enabling the platform to handle concurrent interviews and media processing without performance loss.
Amazon S3 securely stores sensitive conversational data with strict access controls.
CloudWatch and X-Ray maintain observability and reliability, providing deep visibility into system behavior.
These tools ensure Dactic can scale confidently while maintaining enterprise-grade security. The implementation moved with deliberate speed. We brought the platform to production readiness in under four months. We introduced a fully automated onboarding flow alongside a 14-day trial experience, allowing new users to complete a research project without manual intervention. The result is a production-grade AI platform that transforms unstructured conversations into defensible decision intelligence.
The Results
Valere successfully delivered a platform that transforms how organizations interact with stakeholders, moving Dactic from a concept to a scalable product.
Key Outcomes
Efficiency & Scalability Gains:
- 100% reduction in manual interview workload for research teams.
- Insight reports generated within minutes of challenge completion.
- Fully automated onboarding for non-research users.
Technical Performance:
- AWS architecture enables automatic scaling based on interview volume.
- Secure environment established for sensitive conversational data.
Business Growth & Validation:
- Significant early adoption and strong interest from SMB and mid-market teams.
- Successfully positioned Valere as both a service and a product-capable company.
The Client’s Perspective
"Dactic is a milestone for us at Valere. We built it from the ground up to help teams make clearer and more confident decisions using real human conversations. Seeing how quickly the platform evolved and the quality it delivers shows the strength of our engineering, design and AI capabilities."
