Transform
Your Ideas with
Generative AI

Generative AI development is the process of building custom AI systems — usually powered by Large Language Models (LLMs) — that create new content such as text, code, images, or summaries based on your data. Unlike off-the-shelf tools, a custom generative AI solution is trained and configured around your specific business context, data, and security requirements.

ChatGPT is a general-purpose tool that has no knowledge of your private data and sends information to a public model. A custom LLM solution connects securely to your proprietary documents and systems (via RAG or fine-tuning), understands your industry terminology, runs inside your own environment, and produces answers grounded in your actual business — with guardrails to prevent hallucinations.

No. We deploy models locally or inside your private cloud (VPC) so your data never leaves your control or trains any public model. We implement data masking, role-based access control (RBAC), and audit logging to keep sensitive information fully protected and compliant.

RAG (Retrieval-Augmented Generation) connects an LLM to your own knowledge base so it answers using your real documents instead of guessing. This dramatically reduces hallucinations, keeps answers up to date without retraining, and lets the AI cite its sources — making it reliable enough for production use across support, legal, and knowledge management.

Yes. We fine-tune open-source models such as Llama 3 and Mistral on your domain data to get performance close to GPT-4 at a fraction of the inference cost — with the added benefit of full ownership and private deployment. We also work with closed models (GPT-4, Claude) when they are the better fit.

A proof of concept — one workflow, one data source, no integrations — takes 3–6 weeks. A production deployment with integrations, guardrails and monitoring runs 8–16 weeks. What moves the number is how many systems it has to touch. We start with a prioritised roadmap so you see something working early rather than waiting for one large launch.

Cost depends on scope — a single-use-case RAG assistant is far cheaper than a fine-tuned multi-modal platform. After a short discovery call we provide a clear, fixed-scope estimate with milestone-based pricing, so there are no surprises. The fastest way to a number is to book a free consultation.