The Challenge
Organizations collect more data than ever, yet they often struggle to understand what people actually think or experience. Teams rely on assumptions, internal bias or incomplete information, making it difficult to move forward with clarity.
Manual interviews can help, but they are slow, expensive and hard to scale.
Valere identified the need for a platform that:
- helps teams make confident decisions backed by real conversations
- automates interviews without losing human depth
- reduces operational friction for research
- handles sensitive data securely
- scales automatically based on interview volume
- provides insights in a structured, easy to use format
The challenge was to design and build a platform that solved all of this without requiring research expertise from the user.
The Solution
Valere developed Dactic, an end to end AI interview platform that captures real human perspectives at scale and transforms them into actionable insights.
Platform Workflow
- Users define the context, problem and objective
- Dactic generates a tailored questionnaire
- Participants complete interviews through video, audio or text
- AI processes all conversations together
- The platform generates insights, evidence quotes and a full report
Technical Architecture (AWS Powered)
Dactic is built fully on AWS using:
- AWS Amplify for frontend deployment
- Amazon CloudFront for global app and media delivery
- Elastic Beanstalk for API and AI processing layers
- Amazon S3 for secure storage
- SQS and SNS for asynchronous AI workloads
- CloudWatch and X Ray for observability
This architecture ensures performance, reliability and data safety, even as interview volume grows.
Results
With Dactic, Valere successfully delivered:
- A platform that automates qualitative research end to end
- A faster and more reliable way for teams to make informed decisions
- A polished onboarding experience for any non research user
- Structured reports that surface insights, risks, opportunities and recommendations
- A secure environment for sensitive conversational data
- A scalable foundation that positions Valere as both a service and a product company
Main KPIs
- 14 day trial launched with fully automated onboarding
- The whole process from discovery to deliver in no longer than 4 months
- Insight reports generated within minutes of challenge completion
- 100 percent reduction in manual interview workload for research teams
- AWS architecture enabling automatic scaling and secure processing
- Significant early user adoption and strong interest from SMB and mid market teams
"Tax planning stops between January and April. Then what? Clients wait until next year to hear from you? That’s not advisory. That’s seasonal work. We built something different... because tax advisory can be better, and I’m going to keep building until it is."
