Build Your Own GPT — Turn Your Expertise into AI Assistants

RAG (Retrieval-Augmented Generation) connects your documents to a model in real time — ideal for question-answering and document-heavy use cases.

Fine-tuning is best when you need a pre-trained large language model (LLM) to deeply understand your domain, follow complex logic, or adopt your tone and style.

Most Xpert clients use a hybrid approach: fine-tuned models enhanced with RAG pipelines for real-time accuracy.

We support a wide range of structured and unstructured content:

• PDFs, Word docs, slides, knowledge bases
• Process documentation, contracts, transcripts
• Internal policies, FAQ repositories, guides
• CRM data or other systems’ data, meeting notes, spreadsheets (with structure)

We assist with data preparation and ensure your content is clean, relevant, and AI-ready.

Yes. With LLMForge Xpert, you can choose:

• On-premise deployment
• Sovereign cloud providers (e.g., Swiss or EU-based)
• Private VPC hosting on trusted platforms

We help you select and implement the right infrastructure based on your IT, security, and compliance needs.

Absolutely. Data privacy and sovereignty are central to our approach:

• Your data is never used to train third-party models
• You retain full control over hosting and storage
• All models and pipelines are deployed under your governance
• We follow GDPR and help align with internal security standards

With Xpert, we also support access controls, auditability, and model governance frameworks.

We work with trusted open-source and licensed models, including, for example:

• Mistral, LLaMA 2/3, Falcon, Gemma
• Mixtral, Zephyr, Phi, and others
• Custom APIs or hosted models where appropriate

We help you choose the best base model based on performance, licensing, use case, and infrastructure compatibility. With Xpert, we also offer inter-model and intra-model (different sizes) benchmarking.

Yes. We specialize in multilingual deployments and support fine-tuning or RAG-based assistants in multiple languages — including low-resource languages not supported by major commercial APIs.

This is especially valuable for global teams, public organizations, and HR, legal, or customer-facing functions.

Typical (average) delivery timelines:

• Starter: 1–2 weeks (RAG assistant based on your documents)
• Sprint: 3–5 weeks (data prep + fine-tuning + deployment)
• Xpert: 6–8 weeks (end-to-end delivery with full infrastructure and compliance support)

You get measurable outcomes in weeks, not months.

It is important to note that data readiness might shorten or substantially extend delivery times.

Yes. We offer:

• Web-based chatbot widgets
• Custom UI for internal use
• REST API endpoints for integration into portals, apps, or SaaS platforms

Whether you’re an enterprise, a public institution, or a product team, we ensure your assistant fits into your environment.

Every LLMForge tier includes:

• 🎯 Use case design workshop to align the assistant with your business goals
• 🧹 Data preparation support to clean, structure, and format your content
• ⚙️ Model configuration — via prompt design, RAG pipeline, or fine-tuning
• 🧪 Testing, evaluation, and deployment to ensure accuracy and performance
• 📄 Documentation and handover so you fully own the result

LLMForge Xpert includes advanced services such as:

• 🧠 Multi-agent setup across functions or use cases
• 🏛️ Private or sovereign infrastructure deployment
• ✅ Compliance integration with your internal policies
• 🔁 Long-term governance planning (access control, monitoring, re-training workflows)

Our clients always retain the ability to fully maintain and re-fine-tune their models in-house.
That said, REVARTIS remains available to assist, advise, or scale capacity whenever needed — from quick support to strategic upgrades.