What is generative AI development?

It is building applications powered by large language models — chat, summarization, generation, classification — customized with your data and business rules.

Is our business data kept private?

We design deployments with access controls, private vector stores, and vendor choices that match your security requirements.

AI Services

Generative AI development — custom LLM apps, RAG, and content pipelines

Build production generative AI features: document Q&A, sales copilots, content generation with approval gates, and private models connected to your data — not generic ChatGPT wrappers.

GET A CALLBACK FROM US!

Planning a generative AI product? GET A CALLBACK FROM US!

Problem

Off-the-shelf AI tools leak context, hallucinate on proprietary data, or cannot integrate with internal systems.

Solution

Webhorse Studio ships secure RAG pipelines, fine-tuned workflows, and UI layers so generative AI fits your compliance and brand requirements.

Deliverables

Use-case and data governance review
RAG / fine-tune architecture
API and dashboard integration
Evaluation, red-teaming, and rollout plan

Typical timeline: 4–14 weeks

Generative AI build

Define use cases and data boundaries

Prototype models and UX

Harden and deploy to production

Frequently asked questions

What is generative AI development?: It is building applications powered by large language models — chat, summarization, generation, classification — customized with your data and business rules.
Is our business data kept private?: We design deployments with access controls, private vector stores, and vendor choices that match your security requirements.

Call Now WhatsApp