EndorsedendorsedOngoing

Survey & Analytics Platform — Backend Architecture and AI Pipelines

Services Covered:

Custom Software DevelopmentAPI DevelopmentCloud Consulting and ServicesAI and Machine LearningApplication Integration
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Industry
Industry

Information Technology

Duration
Duration

31 months

Budget
Budget

Confidential

Client Size
Start Date

1 January 2024

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
82/100
Strong

Project Capability Score (PCS) estimates how capable ASSIST Software is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Eviset

mapNew York City, United States of America

Project Summary

ASSIST Software designed and implemented a complete backend architecture for a survey and analytics platform, building complex survey logic, secure authentication, automated AI pipelines, SMS distribution, asynchronous processing, and integrations with AWS. They also delivered DevOps and CI/CD support and continue with ongoing product development and optimization. The client praised timely delivery, responsiveness to bugs and feature requests, and the team's flexibility and partnership approach.

Key Challenges

  • Build data platform for collection, aggregation, analysis and dashboard presentation

Project Deliverables

  • Designed and implemented a full backend architecture using Django REST Framework for a large-scale survey and analytics platform.
  • Developed complex dynamic survey logic, including branching, multilingual questions, advanced reporting, CSV/Excel exports, and admin tooling.
  • Built secure authentication and user management (Auth0, JWT).
  • Developed automated pipelines for qualitative AI insights (embeddings, clustering, topic modeling, summarization).
  • Implemented SMS survey distribution flows with Twilio, retry logic, batching, and delivery tracking.
  • Created asynchronous processing with Celery for heavy jobs (AI analysis, background imports, notifications).
  • Integrated external systems such as AWS services.
  • Delivered DevOps setup using Docker, cloud deployments, logging/monitoring, environment configuration, and CI/CD support.
  • Ongoing product development, feature architecture, technical planning, and performance and scalability optimization.

Project Solution

Designed and implemented a full backend architecture for a large-scale survey and analytics platform using Django REST Framework. Implemented complex dynamic survey logic, admin tooling, secure authentication (Auth0, JWT), SMS distribution flows with Twilio, asynchronous processing with Celery, and automated AI pipelines for qualitative insights. Integrated external systems including AWS and delivered DevOps capabilities (Docker, cloud deployments, logging/monitoring, environment configuration, CI/CD). Continued with ongoing product development, feature architecture, planning, and scalability optimization.

Project Outcome

  • Delivery to spec, on time and on budget.
  • High client satisfaction and an ongoing collaborative partnership treated as an extension of the client's team.
  • Responsiveness to bugs and feature requests and proactive issue resolution.
  • A flexible, sound build approach enabling efficient addition of features and functions as needs evolve.

Platforms

  • WebWeb
  • CloudCloud

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.75star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

ASSIST Software has delivered the project to spec, on time, and on budget. They've been responsive to bugs and feature requests and proactive in resolving issues. The client has praised the team's flexibility and commitment to accommodating their needs. They've exceeded the client's expectations.

Julie Lawrence

CEO, Eviset at Eviset

Note: This endorsement is based on publicly available client feedback from external review sources.

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