Generative AI development is the building of software that creates new text, images, code or audio from a request. Typical results are assistants, content generators and copilots that answer from your own documents and data.
Generative AI is changing how content, products and software are created. We build secure generative AI applications on top of leading large language and diffusion models, including copilots, content generators, design assistants and code tools grounded in your own knowledge.
Create unique text, images, videos, or designs using advanced AI models. At Prominent AI Services LLP, we deliver generative AI development end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Create unique text, images, videos, or designs using advanced AI models.
Ideal for: Marketing, Media, E-learning, Product Design. We validate each idea with a measurable baseline, iterate on features and model architecture, and harden the winning model for scale with automated testing, versioning and performance monitoring.
We work with commercial models such as GPT, Claude and Gemini, and with open-source models such as LLaMA and Mistral when data must stay on your own infrastructure. For images we use diffusion models. Most business applications use retrieval-augmented generation (RAG): your documents are indexed in a vector database, and the model answers from them instead of from memory. We build with Python, deploy on Azure or AWS, and monitor quality in production with MLOps practices.
Choose a fixed-scope project for a defined application, or hire OpenAI developers and prompt engineers to join your team. If you already use AI platforms, our generative AI integration service connects them to your systems, and model fine-tuning adapts a model to your terminology and style.
Have a generative AI idea? Tell us about it and we will suggest the quickest route to a working prototype. Start your AI journey.
Common questions about our Generative AI Development services.
We build with GPT, Claude, Gemini, LLaMA, Mistral and other open-source models, choosing based on quality, cost, data residency and latency.
We use retrieval-augmented generation, guardrails and evaluation suites so responses are grounded in your verified content and checked for accuracy.
Yes. Prompt engineering and fine-tuning let the system write in your tone, follow style guides and respect compliance rules.
Cost depends on scope: the number of content sources, the integrations needed, security requirements and expected usage. A focused prototype is far smaller than an enterprise roll-out. After a short discovery call we give a fixed quote for a defined scope, along with an estimate of the monthly model and hosting costs.
A working prototype on your own content usually takes a few weeks. A production application with integrations, access controls and monitoring typically takes two to four months, depending on the systems involved.
Yes. We use enterprise API terms that exclude your data from model training, or open-source models hosted in your own cloud. Access is role-based, prompts and responses are logged for auditing, and sensitive data can be masked before it reaches a model.
Usually not. Most business needs are met by an existing model combined with retrieval from your documents. Fine-tuning is worth it only when you need a very specific style, format or vocabulary, and we will tell you if that is the case.
