Generative AI Development Services in India

Generative AI creates new content, such as text, images, audio or code, based on patterns learned from large datasets. Business uses include drafting, summarising, search, support and design.

It can speed up content creation, answer staff and customer questions, summarise long documents, help developers write code and add natural-language search to your product.

Cost follows how many content or knowledge tasks the system handles, how much human review it needs and the model usage after launch. One drafting or summarising feature costs far less than a platform with several connected assistants. A discovery sprint from $1,000 tests one task on your own content, and we estimate the running cost of the models before you build.

A prototype takes 3 to 5 weeks. A production application with integrations and safeguards usually takes 2 to 4 months.

In practice it takes over first drafts and routine steps, so people can focus on judgement and relationships. We design tools with a human in the loop for anything important.

We ground answers in your content, add instructions and filters, test against tricky cases, and keep a review step where the stakes are high.

We use enterprise APIs with training opt-out, private deployments or open-weight models in your environment, plus masking, access control and logs.

Yes. Many projects add generative AI features to an existing app, website or workflow without a rebuild.

We work with OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama and Mistral, and recommend based on quality, cost and privacy.

Yes. You can add AI engineers to your team monthly, with a typical ramp-up of 10 to 15 business days.

Yes, to a useful degree. We combine style guides, approved examples and prompts that encode tone and rules, then test outputs against your own content. Anything customer-facing goes through a review step, and the edits people make are used to improve the prompts.

You own the code, prompts and workflows we build for you. Legal ownership of generated output depends on the law where you operate and on the model provider's terms, so we explain those terms before you choose and suggest checking with your legal counsel for publishing-critical content.

Generative AI is the broad category of models that create text, images and other content. LLM development focuses on language models and the retrieval, fine-tuning and evaluation around them. Many generative AI projects use an LLM, and our LLM and RAG page covers answering from your own documents in more depth.