LLM & OpenAI Integration Services
Wire OpenAI, Anthropic and open LLMs into your product with RAG, guardrails and evals, the right way, the first time.
Get a free quoteAdd LLMs to Your Product Without the Pitfalls
Calling an LLM API is easy; making it accurate, safe and cost-effective in production is not. GTS Infosoft handles the hard parts of LLM integration, retrieval, prompt design, guardrails, evaluation and cost control, so you get reliable AI features wired cleanly into your existing apps and back ends.
Founded in 2010 and ISO 9001:2015 certified, we have shipped 400+ apps over 15+ years for clients across India, the USA and Australia. Our engineers integrate OpenAI, Anthropic and open models using Python and Node, vector databases and streaming, delivering LLM features from around USD 20 an hour with time-zone overlap and AI-accelerated delivery.
What We Integrate
Chat and assistants
In-app chat, support assistants and copilots powered by OpenAI or Anthropic, streamed cleanly to your front end.
RAG over your data
Retrieval pipelines on vector databases so the model answers from your documents, not its imagination.
Summarisation and extraction
Document summarisation, classification and structured data extraction wired into your workflows.
Workflow automation
LLM-driven automations and tool calls that take real actions inside your back-end systems.
How We Integrate It Properly
Grounding and accuracy
RAG and prompt design keep outputs grounded in your data, with evals to catch hallucination and regressions.
Guardrails
Input and output validation, content moderation and policy checks keep responses safe and on-brand.
Cost and latency control
Caching, model routing and prompt tuning keep token spend and response times low as you scale.
Clean architecture
We integrate via Node or Python services so prompts, keys and logic stay server-side, secure and maintainable.
Why GTS Infosoft for LLM Integration
Provider-flexible
We work across OpenAI, Anthropic and open models and help you pick by quality, cost and data-privacy needs.
Fits your stack
We integrate LLMs into your existing MERN, MEAN, mobile or legacy systems without a rebuild.
Production discipline
ISO 9001:2015 processes, monitoring and evals so the integration is reliable, not a fragile demo.
Cost-efficient delivery
Senior engineers from around USD 20 an hour with time-zone overlap and 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?
It depends on scope, data and the number of features. We scope first and send a clear estimate, with engineers from around USD 20 an hour and an architecture that keeps token costs under control.
Can you integrate LLMs into my existing app?
Yes. We add OpenAI, Anthropic and open-model features into your existing MERN, MEAN, mobile or legacy systems through clean server-side services, with no full rebuild required.
How do you stop the LLM from hallucinating?
We ground answers in your data using RAG and vector search, add input and output guardrails, and run evaluation suites to measure accuracy and catch regressions before they reach users.
Which LLM providers do you support?
We are provider-flexible across OpenAI, Anthropic Claude and open models, and we help you choose per use case based on quality, cost and data-privacy requirements.
How do you control LLM running costs?
We use caching, model routing, prompt optimisation and streaming to keep token spend and latency low, and we monitor usage so costs stay predictable as you scale.
Ready to Add LLMs to Your Product?
Share your use case and we will scope the integration and a free estimate.
Get a free quote
