Overview
Generative AI is changing how organisations handle knowledge work and content production. But using public models out of the box creates real risks around data security, privacy and output accuracy. FA3 builds secure, enterprise-grade generative AI solutions that improve how your people work while keeping proprietary data properly protected.
We go well beyond generic chatbots. We integrate Large Language Models (LLMs) into your actual workflows using Retrieval-Augmented Generation (RAG) and fine-tuning, creating specialised AI assistants that understand your business context and internal knowledge.
What we do
- Enterprise RAG architecture: We build secure Retrieval-Augmented Generation systems that connect LLMs to your internal data and documents. This lets your people query large volumes of company knowledge and get reliable, grounded answers rather than hallucinated ones.
- LLM fine-tuning and customisation: We fine-tune open-source models (such as Llama or Mistral) on your corporate data and terminology, then host them securely within your own cloud infrastructure so your data never leaves your control.
- Generative coding and engineering support: We set up customised AI coding assistants for your engineering teams, reducing time spent on repetitive development work and speeding up delivery cycles.
- Autonomous AI agents: We build AI agents that can reason through problems, call internal APIs and carry out multi-step tasks on their own, significantly reducing the time routine operational processes take.
How we work
Our approach to generative AI puts security, accuracy and practical integration first. In a corporate setting, an AI model that produces incorrect outputs is a liability. We use disciplined prompt engineering, adversarial testing and output validation to keep results reliable.
We build generative AI as a proper layer within your enterprise architecture, not a bolted-on experiment. It connects with your existing data platforms and sits within your security boundaries, so you get real productivity improvements without compromising on safety.