Creating AI-based Analytics
Platform with Offshore Support

A scalable AI analytics platform engineered by our dedicated team of 7 Indian developers. The solution improved prediction accuracy, data workflows, and helped the platform grow.

Automated ML Pipeline

End-to-end pipeline for data ingestion, cleaning, feature generation, training, validation, and model performance checks.

Multi-Tenant SaaS Architecture

AWS-hosted tenant separation for secure data isolation and consistent performance across multiple accounts.

NLP-Powered Classification

Custom models for text tagging, summarization, and category prediction using Python and HuggingFace libraries.

Predictive Insight Engine

Microservice-based prediction service for real-time scoring on customer behavior, demand forecasting, and operational risks.

AI Reporting Dashboard

Visual reports and explainable-AI views that help users understand predictions and identify contributing factors.

Streamlined
MLOps

Automated retraining cycles, versioning, monitoring, and zero-downtime deployments using Docker and MLflow.

Accelerating AI Time-to-Market

Challenge

Manual scripts, limited AI expertise, and fragmented workflows caused long development cycles and delayed deployments.

Solution

We deployed an offshore AI team to automate model training, tuning, and deployment using production-ready MLOps pipelines.

Impact

4x faster deployment cycles
94% improvement in model accuracy
35% faster feature rollouts

Reducing AI Infra & Operational Costs

Challenge

Unoptimized training jobs and inefficient cloud usage drove high monthly infrastructure expenses.

Solution

Our team optimized data pipelines, introduced batch training, and implemented autoscaling and spot instances.

Impact

40% reduction in training costs
2x faster model retraining
More predictable cloud spend

AI Scalability Without Hiring Delays

Challenge

Hiring experienced AI engineers locally was costly, slow, and constrained product velocity.

Solution

By hiring AI developers in India through a dedicated offshore model, the client gained immediate access to skilled ML, NLP, and MLOps expertise.

Impact

$120K annual cost savings
Fully staffed AI team in under 2 weeks
Sustained innovation without delivery bottlenecks

PWA Development

We built a Progressive Web App (PWA) for our client’s marketplace to enable both parents and children to upload, showcase, and sell toys online easily. Since the PWA design focuses on simplicity, it provides an intuitive interface that lets users list items quickly from any device -desktop, tablet, or mobile.

Treezor for secure payments

We integrated a secure payment gateway to provide users with a safe, protected transaction experience. By leveraging Treezor, we ensure that no banking details are stored on the platform. This robust solution offers secured and seamless payments without compromising sensitive information.

Integration with ID Now

To strengthen data security, we integrated IDNow into our client’s marketplace. IDNow ensures that critical documents like passports and IDs are not saved on the platform but are accessed directly through a secure channel during registration.

Authentic user access

To ensure that only verified users can access our services, we require all customers to complete Know Your Customer (KYC) verification. This helps create a trusted environment, prevents fraud, and provides a secure platform for safe transactions.

GDPR Compliance

By following GDPR standards, we have prioritized data privacy and protection, establishing stringent security measures to safeguard personal information. Our approach includes transparent data processing, secure data storage, and strict access control.