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AI & Machine Learning Solutions

Build smarter. Automate deeper. Scale faster.

From custom LLM-powered products to predictive analytics and intelligent automation — MOUNTSMY's AI engineers turn your data and business logic into competitive, production-ready AI systems.

LLM
ML Models
Gen AI
AI pipeline — inference latency < 120ms
Model accuracy (client avg) 94.7%
Automation ROI delivered 3–8×
8+
AI Sub-services
50+
Global Clients
94%+
Model Accuracy (avg)
3–8×
Automation ROI
AI & ML Capabilities

Eight AI services that drive real results

Every capability is built for production — not demos. We architect, train, deploy, and maintain AI systems that integrate with your existing stack.

AI Product Development

End-to-end AI product engineering — from problem framing and data architecture through model selection, integration APIs, and production deployment with monitoring.

Product StrategyAPI DesignMLOpsMonitoring
Machine Learning Model Development

Custom ML models for classification, regression, clustering, anomaly detection, NLP, and computer vision — trained on your data, optimised for your performance targets.

TensorFlowPyTorchScikit-learnFeature Eng.
Generative AI Solutions

GPT-4, Claude, Gemini, and open-source LLM integrations — RAG pipelines, fine-tuning, prompt engineering, and multi-modal AI applications built for your domain.

GPT-4RAGFine-tuningLangChain
AI Chatbot Development

Intelligent conversational AI — customer support bots, internal knowledge assistants, and sales copilots with memory, tool use, and multi-turn context handling.

LLM AgentsTool UseEmbeddingsVector DB
Predictive Analytics Systems

Forecast demand, detect churn, score leads, and predict equipment failure — ML-powered analytics pipelines that turn historical data into forward-looking intelligence.

ForecastingChurn PredictionTime SeriesDashboards
Intelligent Automation Solutions

Automate document processing, workflow routing, data extraction, and repetitive decision-making with AI agents — reduce manual effort by 60–85%.

AI AgentsOCR/NLPWorkflow AIRPA+AI
AI Data Processing Pipelines

Scalable ETL and feature engineering pipelines — data ingestion, cleaning, transformation, and feature stores that feed your ML models with quality-controlled inputs.

AirflowSparkFeature StoreData Quality
Custom AI Integration

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.

Model ServingREST APIA/B TestingMLflow
How we work

From idea to production AI

A proven 4-phase delivery process that eliminates AI project risk and ships reliable systems — on time, on budget.

01 / Discover
AI Readiness Audit
We assess your data, infrastructure, and business objective — then recommend the right AI approach with honest feasibility and ROI estimates.
02 / Design
Architecture & Data Plan
System architecture, model selection, data pipeline design, and evaluation criteria are defined before a single line of code is written.
03 / Build
Train, Evaluate & Integrate
Model training, rigorous evaluation against your KPIs, integration into your product, and load-tested deployment on scalable cloud infrastructure.
04 / Operate
Monitor & Improve
Continuous model monitoring, drift detection, retraining pipelines, and performance dashboards — your AI gets smarter over time, automatically.
Free AI discovery session · 30 min

Ready to build your AI advantage?

Book 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.

8+
AI capabilities
60–90
Days to first deploy
Taking new AI projects
for Q3 2026