Edentify
Built a scalable, AI-first survey intelligence platform to convert unstructured responses into real-time, decision-ready insights improving consistency, speed, and system reliability across large-scale datasets.
90%
Less manual effort
10x
Faster insights
Real-time
Delivery
Client Overview
Industry
Marketing
Core business
Survey intelligence platform processing structured and unstructured feedback
Company type
Mid-sized enterprise
Use case
Large-scale survey data processing, qualitative analysis, and insight generation
Survey Intelligence Platform Overview
Challenges
Edentify operates in a data-intensive environment where large volumes of survey responses must be processed quickly and accurately. As demand grew, manual theme identification and fragmented workflows became major bottlenecks.
Fragmented data processing workflows
Survey analysis relied on disconnected scripts, tools, and manual processes with no centralized system.
Inconsistent and unreliable outputs
Without a unified pipeline, similar datasets often produced different insights across teams.
Heavy dependence on manual effort
Teams spent significant time on response tagging, interpretation, and cleanup, slowing delivery.
Rigid algorithms and scaling limitations
Existing algorithms were difficult to adapt across use cases, and scaling required continuous manual intervention.
System reliability and integration issues
Webhook timeouts and synchronous workflows caused delays and unreliable real-time integrations.
Solution
Advant AI Labs redesigned Edentify's survey intelligence system with a focus on scalability, consistency, and real-time processing.
AI-first modular architecture
Built a modular, API-first platform that centralized survey intelligence processing with LLM pipelines for qualitative analysis.
Centralized intelligence layer
Introduced a unified layer to ingest, enrich, and structure survey data, eliminating output variability.
Cloud-native scalable infrastructure
Designed asynchronous, cloud-native infrastructure to improve reliability and support large-scale workloads.
FastAPI microservices and AWS deployment
Developed high-performance microservices with FastAPI and deployed on AWS for production-grade reliability.
Asynchronous processing pipelines
Replaced synchronous workflows with queue-based processing to remove bottlenecks.
Business Impact
The transformation enabled Edentify to move from fragmented workflows to a scalable, intelligent system built for growth.
Faster insight delivery
Automated intelligence generation reduced processing time and accelerated survey analysis turnaround.
Improved consistency and data reliability
Standardized processing ensured uniform outputs across teams and datasets.
Reduced operational overhead
Automation eliminated manual tagging and interpretation effort, improving team efficiency.
Reliable real-time integrations
Asynchronous processing improved stability and reduced webhook failures.
Scalable foundation for growth
The platform now supports increasing data volumes and new use cases without major system changes.
“"This platform transformed how we process survey data. What used to take significant manual effort is now automated, consistent, and scalable." - Product Team, Edentify
FAQ
Frequently Asked Questions