Problem fit
We check whether the job is prediction on your data, or whether a rules engine or an existing API is enough.
Home / Machine Learning Development
Custom models only when the data and the job require them
Machine Learning Development Services
Machine learning development is for when a product needs a model trained on your data — not a chatbot wrapper. FastUI Labs does not currently publish trained models. We start with discovery. India-based team, worldwide clients.
When ML is in scopeWhat we
What we
evaluate
This is not the AI features page. Most product needs belong there.
Start this engagement
Data you can use
Volume, quality, and permission to use the records. No data, no model — we will say that plainly.
Product integration
If a model is justified, it still has to live in a UI and API. That is work we already do on web applications.
Evaluation, not slogans
Success is agreed in discovery (what “good enough” means). We do not claim high-accuracy forecasts we have not shipped.
Operations
Retraining and monitoring are expensive. We will not sell MLOps as a logo list.
Referral to AI features
If you need an assistant or generated text in the product, start on AI development services instead.
Why FastUI Labs
Why FastUI Labs
We would rather decline a fake ML project than invent a lab.
No TensorFlow theatre
We do not list scikit-learn, PyTorch, or MLflow as shipped expertise.
No published models
None of the five public projects is an ML system. We will not invent results.
Strong host product
If ML belongs anywhere, it is inside a web application we know how to build and host.
Honest split from AI
AI development = product features via APIs. This page = custom models, only if justified.
Same six-step process
Discovery is the real work. No “actionable intelligence” guarantees.
Worldwide clients
India-based team, English-language delivery.
Process
How we approach ML
ML is only in development if discovery says a model is required.
Discovery
We inspect the job, the data, and alternatives to a custom model.
Planning
If ML proceeds, we agree labels, success checks, and how it shows in the product.
UI/UX Design
We design how people see, override, or ignore model output.
Development
We build the application around the model — or stop at a simpler feature.
Testing & QA
We test the product flows, including what happens when the model is wrong.
Launch & Support
We ship the host product and only operate a model if that was explicitly scoped.
Technologies we use
Modern tools we use to design, build, and ship reliable digital products.
FAQFrequently Asked
Frequently Asked
Questions
Straight answers about scope, process, timelines, and how we work with clients worldwide.
Not in the public portfolio. This page exists so we can evaluate whether you need one. Many requests belong on the AI development page instead.
We do not advertise a production ML stack. Python may be part of an evaluation. The product around the model would use the Node.js and Next.js work we already ship.
Yes. FastUI Labs is based in India and serves businesses worldwide.
Email hello@fastuilabs.com with the prediction you want and a description of the data. We will say if ML is justified.
Discuss Your Data and ML Needs
Tell us the prediction you want and what data you have. We'll say if a custom model is justified — or if an API feature is enough. Or email hello@fastuilabs.com.
