How much data do we need to fine-tune a model?

It depends heavily on the use case and approach, ranging from a few hundred to tens of thousands of examples. We'll assess this during the data audit before committing to an approach.

Who owns the resulting model?

You do. This is a core reason clients choose custom development over building entirely on a third-party API — the trained model and pipeline are your asset.

AI & Automation

Custom AI Model Development

Custom AI model development covers fine-tuning existing foundation models or building purpose-specific machine learning models trained on your own data. ZAVYANS offers this for clients who need AI behavior, accuracy, or IP ownership that a general-purpose chatbot or off-the-shelf API can't deliver.

Get a Free Proposal See our results

What's included

Fine-tuned on your data

Models fine-tuned on your proprietary data for accuracy and behavior a generic API can't match out of the box.

Owned model IP

You own the resulting model and training pipeline, not just a subscription to someone else's black box.

Evaluation & benchmarking built in

Rigorous evaluation against your real use cases before anything ships, not just a demo that looked good once.

Production deployment included

Models deployed into real infrastructure with monitoring, not left as a research notebook that never ships.

How we work

Step 1
Use case & data audit

We assess whether your problem actually needs a custom model versus a simpler off-the-shelf solution — and audit your available data.
Step 2
Model selection & training plan

The right base model and fine-tuning or training approach selected for your specific accuracy and cost constraints.
Step 3
Training & evaluation

Iterative training with rigorous evaluation against real-world test cases, not just training loss curves.
Step 4
Deployment & monitoring

Deployed into production infrastructure with monitoring for drift and performance over time.

Not every AI problem needs a custom model — sometimes a well-configured API call is the right answer, and we’ll say so. But when accuracy, data privacy, or proprietary behavior actually matter, a general-purpose API has a ceiling. Custom development is how you get past it.

Frequently asked questions

Often the latter, honestly — we'll tell you if a general-purpose API solves your problem faster and cheaper. Custom model development makes sense when you need proprietary behavior, data privacy, or accuracy an off-the-shelf model can't hit.