LLM & OpenAI Integration Services
OpenAI, Anthropic and open LLMs wired into your product — RAG, guardrails, evals — done right on the first pass.
Get a free quoteAdd LLMs to Your Product Without the Pitfalls
Anyone can call an LLM API. Making it accurate, safe and affordable in production is the hard bit. GTS Infosoft owns those hard parts — retrieval, prompt design, guardrails, evaluation, cost control — and delivers reliable AI features integrated cleanly into the apps and back ends you already run.
Founded in 2010 and ISO 9001:2015 certified, we've shipped 250+ apps over 16 years for clients in India, the USA and Australia. Our engineers integrate OpenAI, Anthropic and open models with Python and Node, vector databases and streaming — LLM features from around USD 20 an hour, with time-zone overlap and AI-accelerated delivery.
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ISO 9001:2015 Certified
ISO 9001:2015 CertifiedWhat We Integrate
Chat and assistants
In-app chat, support assistants and copilots on OpenAI or Anthropic, streamed properly to your front end.
RAG over your data
Retrieval pipelines over vector databases, so the model answers from your documents rather than making things up.
Summarisation and extraction
Document summarisation, classification and structured data extraction, plugged straight into your workflows.
Workflow automation
LLM-driven automations and tool calls that perform real actions inside your back-end systems.
How We Integrate It Properly
Grounding and accuracy
RAG plus careful prompt design keeps output tied to your data, with evals catching hallucination and regressions.
Guardrails
Input and output validation, content moderation and policy checks. Responses stay safe and on-brand.
Cost and latency control
Caching, model routing and prompt tuning hold token spend and latency down as traffic grows.
Clean architecture
Integration happens through Node or Python services, so prompts, keys and logic live server-side — secure and maintainable.
Why GTS Infosoft for LLM Integration
Provider-flexible
OpenAI, Anthropic, open models — we help you choose based on quality, cost and where your data is allowed to live.
Fits your stack
LLMs slot into your existing MERN, MEAN, mobile or legacy systems. No rebuild required.
Production discipline
ISO 9001:2015 process, monitoring and evals. The integration holds up, instead of being a fragile demo.
Cost-efficient delivery
Senior engineers from around USD 20 an hour, working hours that overlap yours, AI-accelerated delivery.
The LLM Stack We Use
OpenAI APIAnthropic ClaudeLangChainPythonNode.jsVector DBs (Pinecone/pgvector)RedisAWS
Frequently Asked Questions
How much do LLM integration services cost?
Scope, data and feature count drive the number. We scope first and send a clear estimate — engineers from around USD 20 an hour, and an architecture designed to keep token costs in check.
Can you integrate LLMs into my existing app?
Yes. OpenAI, Anthropic and open-model features go into your existing MERN, MEAN, mobile or legacy systems through clean server-side services. No full rebuild.
How do you stop the LLM from hallucinating?
We ground the answers in your data with RAG and vector search, add guardrails on input and output, and run eval suites that measure accuracy and catch regressions before users ever see them.
Which LLM providers do you support?
We're provider-flexible across OpenAI, Anthropic Claude and open models, and we help you pick per use case, weighing quality, cost and data-privacy constraints.
How do you control LLM running costs?
Caching, model routing, prompt optimisation and streaming keep token spend and latency low. We monitor usage too, so the bill stays predictable as you grow.
What clients say
“I've done several jobs with Nav and his team"s work, communication, and timeliness are impeccable.”
“Excellent team work. Very nice to work with this team.”
Ready to Add LLMs to Your Product?
Tell us the use case — we'll scope the integration and send a free estimate.
Get a free quote
