Custom ML models
Models for classification, forecasting, anomaly detection, language and vision, trained on your own data.
Bridging the technology gap
We design, build and run custom ML models and AI features that fit how your business works: models trained on your own data, put into your product and kept working after launch.
MOUNTSMY provides custom machine learning development services from Ahmedabad, India, for clients in India and abroad: custom ML models for classification, forecasting, anomaly detection, language and vision, generative AI and LLM applications grounded in your own documents, AI chatbots and agents, predictive analytics, data pipelines and MLOps. Work starts with a free AI discovery call and a small proof on your own data. The models, code and data stay in your own accounts.
Models for classification, forecasting, anomaly detection, language and vision, trained on your own data.
Assistants and document tools on GPT, Claude, Gemini or open-source models, grounded in your own documents with RAG.
Support bots, knowledge assistants and sales copilots that use your tools and hand over to a person when needed.
Demand, churn and risk forecasts turned into dashboards your team can act on.
Ingestion, cleaning and feature pipelines so models get reliable inputs.
Deployment, monitoring and retraining, so models keep working after launch.
We build a working prototype on your own data, so you judge real results before committing to a full build.
We often test two or three models on your own data before choosing one, so the choice is based on results.
Most AI features are added to software you already run, with limits, logging and fallbacks.
We use providers and settings that do not train on your data, keep data in the region you need, and can run open-source models on your own servers.
Find the task where AI saves the most time or money, and check it is realistic.
A working prototype on your own data, with an estimate of the monthly running cost.
Connect the feature to your product or tools, with limits, logging and fallbacks.
Track quality and cost after launch, and tune as real usage comes in.
Something else on your mind? Ask us directly.
Ask a questionIt means building AI features or models around your own data and workflow instead of using a generic tool. It makes sense when your data or process is unusual, a ready-made tool does not fit, or you need control over cost and privacy.
When the value is in your own data, the AI has to sit inside your existing software, you need data kept in a region or off third-party servers, or AI is part of what you sell. If an off-the-shelf tool already does the job well enough, we will say so.
It depends on the task, the data and how much the feature is used. We do not publish rate cards. After a free call you get a written plan and quote, and a proof stage that includes an estimate of the monthly cost to run the feature.
Often more than you think, and some tasks need little. We check your data in the first stage and tell you honestly if it is enough.
We use providers and settings that do not train on your data, keep data in the region you need, and can run open-source models on your own servers when the data is sensitive.
Yes. The models are trained on your own data for your task, whatever the industry. We start with a small proof to show what is possible.
Yes. We work with clients in 16+ countries, including businesses in Riyadh, Jeddah and Dammam in Saudi Arabia. We agree overlap hours for calls and reviews.
Usually, yes. Most AI features are added to software you already have, through an API, without rebuilding what already works.
Book a free 30-minute call. We’ll send a written plan and quote after.