EndorsedendorsedCompleted

Mobile App and Slurred-Speech AI Development for Aegis Consent

Services Covered:

Custom Software DevelopmentMobile Application DevelopmentUI/UX DesignAI and Machine LearningSoftware Maintenance and Support
Project hero — replace with case study imagery
Industry
Industry

Software Development

Duration
Duration

5 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 July 2022

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
77/100
Good

Project Capability Score (PCS) estimates how capable Neoteric 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

Aegis Consent

mapPhiladelphia, United States of America

Project Summary

Aegis Consent, an AI-driven software company, hired Neoteric to build a native iOS and Android application and a slurred-speech identification AI. Neoteric developed the UX/UI in parallel with the AI, implemented native facial ID and PIN-based security, created custom animated educational modules and a randomized testing system, and provided a Strapi backend admin panel and ongoing maintenance. The client received positive feedback and secured a beta program with an academic institution.

Key Challenges

  • Develop a slurred speech identification AI using deep learning
  • Ensure strong security and user verification without harvesting user data
  • Build educational modules and a testing system with a strict 100% pass requirement

Project Deliverables

  • Native iOS and Android mobile application
  • Slurred speech identification AI
  • UX/UI design and digital assets
  • Custom educational modules and randomized testing system
  • Strapi backend admin panel
  • Security implementation using facial ID and PIN
  • Maintenance and extended support

Project Solution

Neoteric built the software from scratch based on provided specifications and developed the UX/UI in parallel with the AI. They implemented security using native facial ID and PIN on iOS and Android, developed a slurred-speech identification AI, created custom animated educational modules and a randomized quiz/testing system with curriculum reset behavior, produced digital assets, used Strapi for the backend admin panel, and provided extended maintenance.

Project Outcome

  • Started a beta program with an academic institution (imminent)
  • Achieved 96% certainty with a 500-user sample
  • High executive and partner satisfaction; delivered beyond expectations

Platforms

  • MobileMobile
  • CMSCMS

Tech Stack

  • iOSiOS
  • AndroidAndroid

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The client has received positive internal feedback on the software and has landed a beta program with an academic institution. The team from Neoteric adapted to changes throughout the engagement, quickly solved bugs in the QA process, and was proactive about offering actionable solutions.

Alexander Ott

Owner

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

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