Featured Project
Synfia AI
Synfia.ai is an AI-powered conversational intelligence platform designed to modernize the way organizations collect and analyze qualitative feedback. Instead of relying on traditional static surveys and questionnaires, Synfia leverages advanced conversational AI to conduct dynamic, human-like voice and text interviews that adapt in real time based on participant responses.
The platform enables businesses, researchers, and organizations to gather richer insights from customers, employees, and stakeholders at scale while significantly reducing the time and effort required for manual interviews and data analysis. Through automated conversations, intelligent follow-up questions, and real-time processing, Synfia captures deeper context, sentiment, and nuanced perspectives that are often missed by conventional survey methods.
Synfia also provides automated transcription, sentiment analysis, thematic clustering, and AI-generated summaries, allowing teams to quickly identify trends, uncover actionable insights, and make data-driven decisions with greater confidence. By combining conversational experiences with advanced analytics, Synfia transforms feedback collection into a more engaging, scalable, and efficient process for market research, employee engagement, customer experience, and organizational decision-making.
Role
Full-Stack Engineer
Year
2025 - Present
Category
Conversational AI | SaaS
The Problem
Traditional surveys, questionnaires, and qualitative interviews are often slow, expensive, difficult to scale, and produce limited insights. Static forms rarely capture the reasoning, emotions, and context behind participants' responses, while conducting and analyzing interviews manually requires significant time and resources.
The Solution
Synfia replaces conventional surveys with AI-powered conversational interviews that can engage hundreds of participants simultaneously through natural voice or text interactions. Its conversational AI asks adaptive follow-up questions, automatically transcribes discussions, analyzes sentiment and themes, and generates structured reports in real time, enabling organizations to obtain deeper insights in a fraction of the time required by traditional research methods.
Overview
Synfia.ai is an AI-powered conversational intelligence platform designed to modernize the way organizations collect and analyze qualitative feedback. Instead of relying on traditional static surveys and questionnaires, Synfia leverages advanced conversational AI to conduct dynamic, human-like voice and text interviews that adapt in real time based on participant responses.
The platform enables businesses, researchers, and organizations to gather richer insights from customers, employees, and stakeholders at scale while significantly reducing the time and effort required for manual interviews and data analysis. Through automated conversations, intelligent follow-up questions, and real-time processing, Synfia captures deeper context, sentiment, and nuanced perspectives that are often missed by conventional survey methods.
Synfia also provides automated transcription, sentiment analysis, thematic clustering, and AI-generated summaries, allowing teams to quickly identify trends, uncover actionable insights, and make data-driven decisions with greater confidence. By combining conversational experiences with advanced analytics, Synfia transforms feedback collection into a more engaging, scalable, and efficient process for market research, employee engagement, customer experience, and organizational decision-making.
Engineered With
Supabase
Supbase as a backend
React JS
React.Js as a frontend
PostgresSQL
PostgresSQL as a database
Langchain
Langchain and Langgraph as an AI workflows framework
Shadcn
Shadcn as a UI library
Architected for impact.
Every module is designed to remove operational friction while preserving room for future growth.
Outcome 1
AI-Driven Conversational Surveys
Outcome 2
Intelligent Response Analysis
Outcome 3
Automated Insight Extraction
Outcome 4
Voice & Text-Based Interviews
Building the future of Synfia?
Let's discuss a solution that stays performant, maintainable, and easy to operate after it ships.