LLM development
LLM development company: custom GPT, Claude and Gemini apps.
Clarigo Infotech is an LLM development company that builds custom applications on large language models such as OpenAI GPT, Anthropic Claude, Google Gemini and open-source models like Llama. We design the prompts, retrieval, tools and guardrails, connect the model to your data and systems, and run it in production with monitoring, evaluation and cost control.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
What we build with LLMs
Custom LLM applications
Assistants, copilots and internal tools built around your workflows, not a generic chat window.
LLM integration
Add GPT, Claude or Gemini to your existing product through secure, well-tested APIs.
Open-source and private models
Deploy Llama and other open models on your own cloud when data must stay in-house.
Fine-tuning and evaluation
Tune models on your examples and measure accuracy with test sets before and after launch.
Guardrails and safety
Input and output filtering, PII masking, grounding checks and human review where needed.
Cost and latency optimisation
Model routing, caching and prompt design that keep responses fast and bills predictable.
How we approach LLM development
Choosing the right model
There is no single best model. We compare OpenAI, Claude, Gemini and open-source options on your real tasks for accuracy, speed, cost and data handling, and design the app so the model can be swapped later without a rewrite.
Grounded in your data
Most business value comes from connecting the model to your documents, databases and tools. We use retrieval (RAG), function calling and agents so answers come from your information and actions happen in your systems.
Built for production, not demos
We add evaluation test sets, logging, monitoring, rate limits, fallbacks and cost alerts from day one, so the app keeps working well after launch and you can see exactly what it is doing.
Security and compliance
Data minimisation, encryption, access control and providers configured not to train on your data. For healthcare we build to HIPAA requirements with BAAs in place for any service that touches PHI.
How it works
Week 1: discovery and design
We agree the use case, success measures and data, and show you a clickable design.
Weeks 2-3: build and integrate
We build, connect it to your systems and data, and demo working software every week.
Week 4: test and launch
We test with real cases, add monitoring and guardrails, then go live.
After launch: improve and scale
The same engineers keep tuning quality, cost and features as usage grows.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
Questions we hear most
What does an LLM development company do?+
An LLM development company designs, builds and runs applications powered by large language models: assistants, copilots, document processing, search and agents. Clarigo Infotech handles model choice, prompts, retrieval, integrations, guardrails, testing and production monitoring.
Which LLM should we use: GPT, Claude, Gemini or open source?+
It depends on your task, data rules and budget. We test the options on your real examples and recommend the best fit, and we build so you can switch models later.
Can you keep our data private?+
Yes. We use providers configured not to retain or train on your data, mask sensitive fields, and can deploy open-source models on your own cloud when data must not leave your environment.
How long does it take to build an LLM application?+
A focused LLM app for one workflow typically goes live in 25 to 30 days. Larger platforms are delivered in phases.
How much does LLM development cost?+
Cost depends on scope, integrations and usage. We give a scoped quote after a free consultation and explain both build cost and monthly running cost.