Generative AI Development Company
Production-grade generative AI, from RAG and fine-tuning to agents and guardrails, built to ship, not to demo.
Get a free quoteGenerative AI That Ships to Production
Most generative AI projects stall at the demo stage because they lack grounding, evaluation and guardrails. GTS Infosoft builds generative AI that survives production, combining retrieval-augmented generation, fine-tuning and tool-using agents with the evals and safety controls that keep outputs accurate, on-brand and cost-controlled.
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 AI engineers work across OpenAI, Anthropic and open models, with Python, vector databases and MLOps, delivering generative features from around USD 20 an hour with AI-accelerated delivery and time-zone overlap.
What We Build With Generative AI
RAG over your data
Retrieval-augmented generation that grounds answers in your documents and databases using vector search, so responses stay accurate and citable.
Assistants and copilots
Domain-specific chat assistants and in-app copilots that draft, summarise and answer within your product.
Content and document generation
Systems that generate, transform and extract structured content from text, documents and images at scale.
Fine-tuned and custom models
Fine-tuning and prompt-engineering on OpenAI and open models to match your tone, format and domain.
How We Make It Production-Ready
Evals and quality gates
We build evaluation suites that measure accuracy, hallucination and regressions, so quality is tracked, not guessed.
Guardrails and safety
Input and output guardrails, content moderation and grounding keep generations safe, on-brand and on-policy.
Cost and latency control
Model routing, caching and prompt optimisation keep token spend and response times under control at scale.
Monitoring and iteration
Logging, tracing and feedback loops so you can debug, improve prompts and retrain as usage grows.
Why GTS Infosoft for Generative AI
Model-agnostic
We choose the right model for the job across OpenAI, Anthropic and open models, balancing quality, cost and privacy.
Full-stack delivery
We embed generative AI into real apps and back ends, not isolated notebooks, so features ship to users.
Senior, ISO-certified team
ISO 9001:2015 processes with experienced AI engineers from around USD 20 an hour and time-zone overlap.
Data privacy first
We can keep sensitive data on self-hosted open models and follow strict access controls under NDA.
The Generative AI Stack We Use
OpenAI APIAnthropic ClaudeLangChainPythonVector DBs (Pinecone/pgvector)Hugging FaceNode.jsAWS
Frequently Asked Questions
How much does generative AI development cost?
It depends on data readiness, model choice and scope. We scope your use case first and send a clear estimate, with engineers from around USD 20 an hour and a design that keeps token and compute costs in check.
What is RAG and do I need it?
Retrieval-augmented generation grounds model answers in your own data using vector search, which sharply reduces hallucination. If you need accurate answers from your documents or database, RAG is usually the right foundation.
Which models do you work with?
We are model-agnostic and work across OpenAI, Anthropic Claude and open models, choosing per use case to balance quality, cost and privacy, including self-hosted open models for sensitive data.
How do you keep generative AI accurate and safe?
We build evaluation suites, grounding via RAG, and input and output guardrails with content moderation, plus logging and monitoring so quality and safety are measured and maintained in production.
Can you add generative AI to my existing product?
Yes. We integrate generative features into your existing apps and back ends, wiring in retrieval, prompts, guardrails and evals so the AI ships as a reliable part of your product.
Ready to Ship Generative AI?
Tell us your use case and we will map the right generative AI approach and a free estimate.
Get a free quote
