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Srva Consumer AI Platform — Beta Development

Services Covered:

API Development • Custom Software Development • Web Application Development
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Industry
Industry

Information Technology

Duration
Durationinfo-circle

1 month

Budget
Budget

200K - 999K

Start Date
Start Date

1 August 2025

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
79/100
Good

Project Capability Score (PCS) estimates how capable Geeks Root 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

Srva

mapMiami, United States of America

Project Summary

Geeks Root developed a beta version of Srva, a consumer AI platform, delivering web and mobile flows, core user features, and a scalable AWS-based infrastructure. The team accelerated app creation, implemented robust security controls and third-party integrations, and consistently delivered ahead of schedule while preparing roadmap features like BrainBox for increased personalization.

Key Challenges

  • Develop a fully functional end-to-end beta version
  • Design infrastructure with scalability and sustainability in mind

Project Deliverables

  • Web and mobile login flows (including password reset)
  • Main screen layouts and UI
  • App creation feature and Srva feed
  • User workspaces and profile management
  • Backend infrastructure on AWS with authorization tokens and third-party API integrations
  • Email and password change logic, credit systems, and conditional NeuralSeek-powered logic
  • BrainBox AI features and roadmap items (knowledge bases, branding, shareability, interactive chat flows)

Project Solution

Geeks Root established Srva's technical foundation by building web and mobile login flows, password reset, main screen layouts, and core features such as app creation, the Srva feed, user workspaces, and profile management. They implemented backend infrastructure on AWS with authorization tokens and third-party API integrations, added email/password logic, credit systems, and conditional NeuralSeek-powered logic, and developed AI features that enable app launches in under 30 seconds. The team also implemented strong security controls and integrated Gmail and LinkedIn authentication while iterating on roadmap items like BrainBox knowledge bases and interactive chat flows.

Project Outcome

  • Reduced app creation time from hours to under 30 seconds (≈90% improvement)
  • Harmful content blocked at 99.8% accuracy during testing
  • Deployed a scalable AWS-based architecture that reduced server response times by 40%
  • Key features released with a 98% bug-free rate
  • Apps using BrainBox knowledge bases saw a 35% increase in engagement

Platforms

  • WebWeb
  • MobileMobile
  • CloudCloud

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • REST APIREST API

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Geeks Root has successfully delivered a high-quality solution that aligns with the client's requirements. The team works efficiently, delivering tasks ahead of schedule without compromising quality. Also, they're quick to adapt to changes, and their technical expertise and creativity have stood out.”

Lawrence Patrizio

Founder & CEO

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

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