About Convira
Inspiration
Interviews are one of the most important ways organizations evaluate candidates, conduct research, and gather insights. However, traditional interviews are often repetitive, time-consuming, and difficult to scale. Interviewers spend significant effort preparing questions, managing participants, taking notes, analyzing responses, and creating summaries manually.
We wanted to build an intelligent AI-powered platform that could automate and improve this entire workflow while keeping the interaction natural and human-like. This inspired us to create Convira, a smart interview platform capable of conducting adaptive interviews, understanding context, generating meaningful follow-up questions, and producing actionable insights automatically.
Our goal was to create a system that not only saves time for enterprises but also improves interview quality, consistency, and candidate experience.
What it does
Convira is an AI-powered interview and conversational intelligence platform designed for enterprises, recruiters, researchers, and organizations.
The platform enables users to:
- Create AI-powered interviews within minutes
- Share interview links via Gmail, WhatsApp, and other platforms
- Conduct interviews using voice and text interactions
- Upload supporting documents and interview context
- Generate dynamic AI follow-up questions
- Track interview completion and participant status
- Generate AI summaries and clean transcripts automatically
- Share interview results securely with stakeholders
- Store and download interview recordings
- Support multilingual interview experiences
The system intelligently adapts the conversation based on user responses and uploaded documents, making interviews more natural and contextual instead of static questionnaires.
Convira also includes enterprise-level features such as:
- CSV-based participant management
- Automated email reminders
- OTP verification for secure authentication
- Dashboard analytics and interview tracking
- Shared admin access
- Profile and branding customization
- Free-trial management and usage limits
- AI-generated testimonials based on interview transcripts
The platform currently uses Gemini Flash models with latency optimizations to improve real-time response speed and conversational performance.
How we built it
We built Convira using a modern AI-first architecture focused on adaptive conversational intelligence and enterprise scalability.
The platform combines:
- Large Language Models (LLMs) for question generation and reasoning
- Real-time voice-to-text transcription and also Text to Speech functionality.
- AI-driven follow-up questioning systems
- Semantic understanding of uploaded documents
- AI summarization pipelines
- Conversational interview orchestration
- Secure authentication and OTP verification
- Dashboard-based enterprise management tools
- Audio recording and storage systems
- Multilingual support infrastructure
We integrated AI agents capable of understanding interview purpose, participant responses, and uploaded files to generate highly relevant and context-aware questions dynamically.
The frontend and dashboard experience were continuously improved across multiple platform versions to enhance usability, branding, and enterprise workflow management.
Challenges we ran into
One of the biggest challenges was making the AI interviews feel natural and conversational instead of robotic. We needed the system to:
- Understand interview context accurately
- Generate intelligent follow-up questions
- Maintain conversational flow
- Handle skipped or incomplete answers naturally
- Avoid repetitive questioning
- Generate concise yet meaningful summaries
Real-time AI interaction was another major challenge. Combining voice input, transcription, AI reasoning, latency optimisation, and response generation while maintaining smooth conversation quality required extensive testing and optimisation.
We also faced challenges related to:
- Enterprise scalability
- Authentication security
- Preventing fake account creation
- Managing multilingual interactions
- Efficient transcript cleanup
- Performance optimisation for large interview volumes
Accomplishments that we're proud of
We are proud that Convira evolved from a basic interview system into a full enterprise-ready conversational intelligence platform.
Some key accomplishments include:
- Built adaptive AI interviews with dynamic questioning
- Implemented multilingual interview support
- Added voice-enabled AI interactions
- Generated clean AI transcripts with filler-word removal
- Developed automated interview summaries
- Enabled enterprise dashboard and participant management
- Added secure admin sharing and interview result sharing
- Integrated AI-powered testimonial generation
- Optimised latency for faster real-time AI responses
- Built a scalable and user-friendly interview ecosystem
One of our proudest achievements is making interviews feel more human and context-aware while still being fully AI-driven.
What we learned
Through building Convira, we learned:
- How to orchestrate multiple AI systems together effectively
- The importance of conversational UX in AI products
- Challenges of real-time AI reasoning and transcription
- Techniques for adaptive question generation
- How latency significantly affects user experience
- The importance of security and authentication in enterprise platforms
- How contextual AI dramatically improves interview quality
We also learned that users engage more naturally when AI conversations feel adaptive, responsive, and human-like.
Our vision is to build the future of AI-powered interview intelligence and help organizations conduct smarter, faster, and more meaningful conversations at scale.
Built With
- agenticai
- aiagents
- amazon-dynamodb
- fastapi
- gemini
- lambdafunctions
- llm
- next.js
- python
- react
- speech-to-text
- text-to-speech
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