Custom LLM Development & Fine-Tuning
We fine-tune LLMs for Regulated data
A language model that speaks your domain.Fine-tuned on your documents and hosted where your data is allowed to live. The model and its weights are yours. Starting at ₹56,000/month ($670/mo).
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- Monthly planNo surprises on the invoice
- Your accounts, your dataAlways in your name
- Talk to a personCall, WhatsApp or meet us
Get a free quote
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Prefer to chat? Message us on WhatsApp or call +91 94444 88440.
The short version
We fine-tune and host large language models on your own material, from $670 a month (about ₹56,000) for a fine-tuned model served on shared infrastructure, scaling to a fixed-price quote for a fully private deployment. This is for businesses whose data cannot go through a public AI API, or whose use case needs a model that speaks their domain fluently, not a general one prompted well.
Clear prices. No surprises.
Starting prices, the same as our instant quote calculator. We confirm your exact price in writing after a short call. Same price in every currency.
Fine-tuned model
your documents, shared hosting
Privately hosted deployment
dedicated infrastructure
What you get, in plain words.
Everything below is written into your quote before we start, so what you are promised and what you receive are the same list.
Private LLM Hosting & Deployment
Enterprise Data Fine-Tuning
On-Premise AI Solutions
What happens after you get in touch.
Model Selection
Evaluating the best open-source LLM for your computational needs.
Fine-Tuning
Training the model exclusively on your proprietary datasets.
Secure Hosting
Deploying the model on private AWS/Azure or local servers.
Honest note
When this is the right build
Most businesses get further, faster, with a well-prompted general model — that is what powers our chatbots and automations. A custom or fine-tuned LLM makes sense in narrower cases: regulated data that cannot leave your infrastructure, a specialised vocabulary a general model handles poorly, or high enough usage that a tuned smaller model is meaningfully cheaper to run at scale. We will tell you on the first call if a general model already does the job.
Built on what we actually use.
Well-supported tools on purpose, so any competent team can take over after us.
Startups, SMEs and established businesses.
Sectors where we have shipped and can show you the work.
Need more than this? One team, one written scope.
Good questions to ask us.
Want the full detail? Read everything about this service
Quick answer
We fine-tune and host large language models on your own material, from $670 a month (about ₹56,000) for a fine-tuned model served on shared infrastructure, scaling to a fixed-price quote for a fully private deployment. This is for businesses whose data cannot go through a public AI API, or whose use case needs a model that speaks their domain fluently, not a general one prompted well.
When this is the right build
Most businesses get further, faster, with a well-prompted general model — that is what powers our chatbots and automations. A custom or fine-tuned LLM makes sense in narrower cases: regulated data that cannot leave your infrastructure, a specialised vocabulary a general model handles poorly, or high enough usage that a tuned smaller model is meaningfully cheaper to run at scale. We will tell you on the first call if a general model already does the job.
What it costs
| Build | USD | India | Time to first version |
|---|---|---|---|
| Fine-tuned model (your documents, shared hosting) | from $670 / month | from ₹56,000 / month | 6 to 10 weeks |
| Privately hosted deployment (dedicated infrastructure) | quoted against a written spec | quoted against a written spec | 10 weeks and up |
Where your data goes
Fine-tuning uses only documents you have the right to use, and the tuned model and its weights are yours. A privately hosted deployment runs on infrastructure you control, with nothing sent to a third-party API. Our teams are in Bangalore and Dubai.
Tell us what you need. Get a written scope.
A 30-minute scoping call, then a written scope with a price against it. No obligation.
