Dharmsy builds AI and machine learning solutions for United States businesses. Custom ML models, LLM integration, predictive analytics, and production-grade AI systems.
Senior Indian ML engineers at a fraction of US rates — with EST overlap for daily collaboration. We've built ML systems for US companies in healthcare, finance, retail, and SaaS.
Dharmsy builds applied AI and machine learning solutions — systems that solve specific business problems, not research projects. The gap between an ML model that performs well in a notebook and one that runs reliably in production at scale is enormous. We bridge that gap: from problem definition through model development to production deployment and monitoring.
Predictive models for demand forecasting, churn prediction, fraud detection, and risk scoring. NLP systems for document classification, information extraction, sentiment analysis, and intelligent search. Computer vision for quality inspection, document processing, and image classification. LLM applications — RAG systems, AI agents, and intelligent automation built on top of foundation models. Recommendation engines for e-commerce, content platforms, and personalisation.
We build ML systems that work in the real world: proper data pipelines, model versioning, A/B testing infrastructure, performance monitoring, and drift detection. An ML model that performs brilliantly in testing but degrades silently in production is a liability, not an asset. We build with observability from the start.
We're direct with clients about this: machine learning is not the right solution to every problem. A well-built rules engine or a simple statistical model often outperforms a complex neural network on structured business data, costs far less to build, and is easier to explain to stakeholders. We recommend the right tool for the problem — which is sometimes not ML at all.
If you have a problem you think AI or ML could solve, let's have an honest conversation about whether it's the right approach and what it would take to build.
Predictive models for demand forecasting, churn prediction, fraud detection, and risk scoring. NLP systems for document classification, information extraction, sentiment analysis, and intelligent search. Computer vision for quality inspection, document processing, and image classification.
We build ML systems that work in the real world: proper data pipelines, model versioning, A/B testing infrastructure, performance monitoring, and drift detection. An ML model that performs brilliantly in testing but degrades silently in production is a liability, not an asset. We build with observability from the start.
We're direct with clients about this: machine learning is not the right solution to every problem. A well-built rules engine or a simple statistical model often outperforms a complex neural network on structured business data, costs far less to build, and is easier to explain to stakeholders.
Dharmsy builds AI and machine learning solutions for United States businesses. Custom ML models, LLM integration, predictive analytics, and production-grade AI systems.
Custom ML Models, LLM Integration, Predictive Analytics, Computer Vision, NLP Solutions.
Share your requirements through our contact page and we'll come back with a clear plan and timeline — no sales pitch, just a real conversation about your project.
