EndorsedendorsedOngoing

MVP Development for Machine Learning Startup

Services Covered:

Custom Software DevelopmentAPI DevelopmentWebsite Development
Project hero — replace with case study imagery
Industry
Industry

Software Development

Duration
Duration

71 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 September 2020

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
77/100
Good

Project Capability Score (PCS) estimates how capable Servalit 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

Amplifi

mapLondon, United Kingdom

Project Summary

A machine-learning startup (Amplifi) engaged Servalit to develop their MVP and continue iterative development. Servalit split work into development sprints and handled system architecture through front-end UI using Azure, .NET, MSSQL and ReactJS, with a six-person team. The project is ongoing; the vendor has delivered work on time and on budget, communicates daily via Slack and manages sprints in Azure DevOps.

Key Challenges

  • Non-technical founders required end-to-end technical development support
  • Need to manage all aspects of MVP technical development from architecture to front end
  • Ongoing iterative development and future product iterations required sustained vendor involvement

Project Deliverables

  • Sign in/out and password reset
  • Main app layout
  • DB model for system
  • User management (adding/removing users, email invites)
  • Role management (admin and client admins)
  • Profile management
  • Product management
  • API development
  • Content management
  • Front-end customer client app
  • Analytics dashboard
  • Client integration APIs
  • Analytics APIs
  • ML integration

Project Solution

Servalit was selected via recommendation and appointed for their understanding of the vision and competitive pricing. They split the work into development sprints based on provided wireframes and delivered end-to-end development from system architecture to front-end UI. Technologies used included Azure, .NET, MSSQL and ReactJS. Key outputs included authentication, DB modelling and user/role/profile management, API development, content management, the front-end customer app, an analytics dashboard, and integrations for client APIs, analytics and ML.

Project Outcome

  • The team delivered work "over and above" the original agreement
  • All stages of work have been completed on time and on budget
  • The vendor operates as an extended part of the client's team with responsive communication

Platforms

  • WebWeb

Tech Stack

  • AzureAzure
  • .NET.NET
  • SQLSQL
  • React.jsReact.js

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

While the MVP has yet to be launched, Servalit shows that it delivers above and beyond. They deliver the tasks on time and on budget. Both ends communicate daily to ensure that the project's workflow goes smoothly. Above all, the team's willingness and understanding stand out for the client.

Jamie Stuart

Co Founder & Head of Product

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

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