endorsedCompleted

Conversational AI & Full-Stack Development for G‑Tech

Services Covered:

AI and Machine Learning • Custom Software Development • API Development • Cloud Consulting and Services • Software QA and Testing

Industry

Software Development

Duration

6 months

Budget

10K - 49K

Start Date

1 March 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

G‑Tech Innovation, Inc

Philadelphia, United States of America

Project Summary

Prakash Software Solutions provided AI and full-stack backend development to build a production-ready conversational AI platform for G‑Tech Innovation, including data ingestion pipelines, an LLM-based conversational core, autonomous task agents, and Azure infrastructure configuration. Their work reduced time-to-market and delivered a low-latency system with comprehensive MLOps and QA documentation. The vendor operated under an Agile/Scrum framework and integrated closely with the client's engineering team.

Key Challenges

Build a smart, conversational AI framework that can handle complex enterprise data without failing
Deploy autonomous, task-driven AI agents capable of executing multi-step workflows
Integrate AI agents and services smoothly and securely into the client's existing cloud setup via clean APIs
Provide scalable cloud infrastructure and MLOps to support production workloads

Project Deliverables

Conversational AI Core
Autonomous AI Agents
Robust API Layer
MLOps Pipeline
QA & Compliance Documentation

Project Solution

Prakash Software Solutions conducted technical discovery and API mapping, implemented backend architecture and data ingestion pipelines, trained and fine-tuned a conversational LLM framework, and developed autonomous AI agents. They built a documented, secure RESTful API layer and configured Azure cloud infrastructure; additionally they established an MLOps CI/CD pipeline and delivered QA and compliance documentation to support production handoff.

Project Outcome

Accelerated Time-to-Market by ~30%
Achieved conversational AI response times consistently under 1.5 seconds
Delivered a custom API layer with 99.9% uptime during testing and zero data leakage
Completed a seamless project handoff enabling the client's internal team to manage and scale the system

Platforms

Cloud

Tech Stack

Azure

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Prakash Software Solutions' work accelerated the client's time-to-market by 30% and delivered a conversational AI framework with a latency rate of under 1.5 seconds. The team led a structured Agile/Scrum process, was responsive, and seamlessly integrated with the client's engineering standards.”
Gregory Estevez
Software Engineer
Date: 05/18/2026