
MOUNTSMY delivers custom machine learning development and personalized ML model development — from LLM-powered products to predictive analytics and intelligent automation, turning your data and business logic into competitive, production-ready AI systems.
Every capability is built for production — not demos. We architect, train, deploy, and maintain AI systems that integrate with your existing stack.
End-to-end AI product engineering — from problem framing and data architecture through model selection, integration APIs, and production deployment with monitoring.
Custom ML model development and personalized machine learning development for classification, regression, clustering, anomaly detection, NLP, and computer vision — trained on your data, optimised for your performance targets.
GPT-4, Claude, Gemini, and open-source LLM integrations — RAG pipelines, fine-tuning, prompt engineering, and multi-modal AI applications built for your domain.
Intelligent conversational AI — customer support bots, internal knowledge assistants, and sales copilots with memory, tool use, and multi-turn context handling.
Forecast demand, detect churn, score leads, and predict equipment failure — ML-powered analytics pipelines that turn historical data into forward-looking intelligence.
Automate document processing, workflow routing, data extraction, and repetitive decision-making with AI agents — reduce manual effort by 60–85%.
Scalable ETL and feature engineering pipelines — data ingestion, cleaning, transformation, and feature stores that feed your ML models with quality-controlled inputs.
Embed AI capabilities into your existing products — REST/GraphQL AI APIs, model serving infrastructure, A/B testing frameworks, and seamless CI/CD for ML deployments.
A proven 4-phase delivery process that eliminates AI project risk and ships reliable systems — on time, on budget.
Practical AI/ML use cases, how to evaluate ROI, and common pitfalls before you build an AI feature into your product.
Read the guideBook a free 30-minute session with our AI team. We'll review your use case, recommend a strategy, and show you what's realistically achievable in 60–90 days.