endorsedCompleted

AI & Machine Learning Development for Business Intelligence Platform

Services Covered:

AI and Machine Learning

Industry

Hospitality, Travel & Tourism

Duration

5 months

Budget

10K - 49K

Start Date

1 July 2025

Team Size

Confidential

Engagement Model

Offshore

Project Capability Score (PCS)

78/100

Good

Project Capability Score (PCS) estimates how capable Powercode 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

QUBEBI LLC

Doha, Qatar

Project Summary

Powercode Group provided AI and machine learning development for a business intelligence platform, delivering an AI-powered chatbot, MLOps pipelines, and an automated ETL framework. The vendor rolled out the product V1, met requirements, and demonstrated strong cultural fit and technical expertise. Communication was regular via virtual meetings, emails, and messaging apps, and the engagement ran from July–December 2025.

Key Challenges

Need for expertise in machine learning, cloud, and AI with an R&D mindset

Project Deliverables

AI-powered chatbot
MLOps pipelines
Automated ETL framework
Google Cloud–based implementation

Project Solution

The vendor created an AI-powered chatbot, built MLOps pipelines, and automated the ETL framework using Google Cloud and generative AI technologies. Engagement was led by Ilya; the team was selected via LinkedIn for cultural fit and value. The work included end-to-end implementation on Google Cloud and delivery of an initial product version between July and December 2025.

Project Outcome

Rolled out V1 with customer-specific operational KPIs
On-time delivery ahead of the committed date
100% scope adherence
Qualitative R&D insights and strong cultural fit

Platforms

Cloud
AI/ML Platform

Tech Stack

Google Cloud Platform (GCP)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Powercode Group successfully delivered the first version of the product, meeting all requirements. The team demonstrated an understanding of the client's needs, asked insightful questions, and fostered a positive environment. Their cultural fit and technical expertise were key to success.”
Nazimuddin Mohammed
Co-Founder
Date: 01/21/2026