EndorsedendorsedOngoing

AI-driven Marketing Research Platform Development

Services Covered:

Custom Software DevelopmentAI and Machine LearningSolution ArchitectureCloud Consulting and Services
Project hero — replace with case study imagery
Industry
Industry

Business Consulting & Services

Duration
Duration

90 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 February 2019

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
74/100
Good

Project Capability Score (PCS) estimates how capable TechMagic 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

Graviz Pirenne Labs

map Sweden

Project Summary

TechMagic assisted with architecture and development of an AI-driven marketing-research platform, building the frontend in React and the backend in Node.js. The platform uses a serverless construction on Google Cloud with Firebase and Google Cloud Functions to connect Python-based AI components. The engagement began in February 2019 and remains ongoing.

Key Challenges

  • Difficulty finding developers in Sweden due to competition and high rates, prompting nearshoring.
  • Need to build a platform to interact with users and replace highly manual market research processes.

Project Deliverables

  • Frontend built with React
  • Backend built with Node.js
  • Architecture setup for a serverless Google Cloud and Firebase deployment
  • Google Cloud Functions integration connecting Python AI to the Node.js backend

Project Solution

TechMagic developed both the frontend (React) and backend (Node.js) of an AI platform for marketing measurements and assisted with architecture decisions to keep the design simple. They implemented a serverless deployment on Google Cloud with Firebase and used Google Cloud Functions to connect Python-based AI components to the Node.js backend. The vendor continues to build applications and features in collaboration with the client's internal AI team.

Project Outcome

  • Team provided recommendations that improved speed and cost-effectiveness of approaches.
  • Project management improved after adding a coordinator who now dedicates ~50% of her time, smoothing delivery and coordination.
  • Ongoing collaboration with open communication and proactive problem identification.

Platforms

  • SaaSSaaS
  • WebWeb

Tech Stack

  • Node.jsNode.js
  • React.jsReact.js
  • PythonPython
  • ServerlessServerless

Client Endorsement

Overall Review Rating

4.25star4 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

TechMagic is made up of a team of critical thinkers who advise the business on which approaches are the fastest and most cost-effective. Although they lack in communication skills, they have been willing to address any project management issues. Additionally, they do what's best for the business.

Fred Pirenne

CTO & Founder

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

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