EndorsedendorsedCompleted

AI Onboarding & Backend Upgrade for Pangea.ai

Services Covered:

Custom Software DevelopmentAI and Machine Learning
Project hero — replace with case study imagery
Industry
Industry

Business Consulting & Services

Duration
Duration

2 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 May 2024

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
73/100
Good

Project Capability Score (PCS) estimates how capable Miquido 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

Pangea.ai

map Switzerland

Project Summary

Miquido built a dedicated AI-based system for Pangea.ai that used the client's Python library to analyze documents and accelerate profile completion. The engagement included backend infrastructure upgrades and integration of a queuing system to improve scalability. The solution was delivered on time, improved onboarding speed and user satisfaction, and the team communicated primarily via virtual meetings.

Key Challenges

  • Need for AI expertise to build an end-to-end solution
  • Requirement for end-to-end delivery with speed of execution
  • Streamlining lengthy multi-step forms to reduce drop-offs while maintaining data quality
  • Scaling backend infrastructure to handle growing data volume reliably

Project Deliverables

  • drAIve-based AI feature to analyze user-uploaded documents and match them to form fields
  • Custom prompts for form element extraction to ensure precision
  • Backend services enhancement to support increased data volume and talent registration
  • RabbitMQ integration as a queuing system to improve scalability and reliability

Project Solution

Miquido developed a standalone AI feature leveraging the client's Python library and the drAIve framework to analyze uploaded documents and map their contents to form fields. They upgraded backend infrastructure to handle increased data volumes and integrated a RabbitMQ queuing system to boost communication, scalability, and reliability across services. The vendor delivered the AI feature rapidly (three-week implementation) and provided proactive, virtual communication throughout the engagement.

Project Outcome

  • Faster onboarding due to the Generative AI feature accelerating profile completion and improving user satisfaction
  • Full AI feature implementation completed in three weeks delivering immediate efficiency gains
  • Scalable AI solution supporting growth and faster agency-specialist matching, enabling revenue growth

Platforms

  • AI/ML PlatformAI/ML Platform

Tech Stack

  • PythonPython

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Miquido delivered a scalable solution on time that streamlined the client's onboarding process, improving user satisfaction. The team thoroughly addressed issues and communicated primarily via virtual meetings. Their proactiveness impressed the client, resulting in a positive engagement.

Prags Mugunthan

Co-Founder & Co-CEO

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

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