endorsedCompleted

Environmental Data Pipelines & AI for Pilio

Services Covered:

AI and Machine Learning • Custom Software Development

Industry

Energy & Natural Resources

Duration

4 months

Budget

50K - 199K

Start Date

1 July 2025

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

82/100

Strong

Project Capability Score (PCS) estimates how capable Prakash Software Solutions Pvt. Ltd 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

Pilio

London, United Kingdom

Project Summary

Prakash Software Solutions developed custom software and AI for an energy and environmental company (Pilio), building backend data pipelines and integrating ML and NLP models to automate data classification. The engagement reduced manual data handling by 40%–50% and increased data throughput speeds by 30%. The team was organized, responsive, and delivered on time while enabling the client to scale corporate onboarding and stay on track with its product roadmap.

Key Challenges

Build robust, scalable custom software pipelines capable of processing high volumes of enterprise carbon and energy data efficiently without system lag
Integrate advanced AI and ML models (including NLP) to reduce manual data handling and automate extraction from unstructured reports
Ensure security, system stability, and optimized database performance to support scaling for corporate clients

Project Deliverables

Production-ready AI and NLP models
Clean, fully documented code repositories
Optimized API endpoints for platform integration
Automated data validation system
Enterprise-grade backend data pipelines

Project Solution

Prakash Software Solutions delivered end-to-end custom software and AI development: they architected and built enterprise-grade backend data pipelines to process high volumes of carbon and energy metrics, integrated those pipelines with the client's Microsoft Azure platform with a focus on security and scalability, and developed and deployed machine learning and NLP models to automate data classification from unstructured corporate reports. They also provided documented code repositories, optimized API endpoints for integration, and an automated data validation system.

Project Outcome

Manual data handling and entry times reduced by roughly 40%–50%
Data throughput speeds increased by 30%
Deliverables were delivered on schedule, enabling adherence to the product roadmap and smoother corporate client onboarding

Platforms

Cloud

Tech Stack

Azure
RESTful API

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The engagement significantly improved data operations, reduced manual data handling by 40%-50%, and increased data throughput speeds by 30%. Prakash Software Solutions was highly organized, responsive, and proactive. They also delivered on time and communicated well.”
Catherine Bottrill
Chief Executive Officer
Date: 05/11/2026