Set The Path
For Your AI.
Many providers focus on what AI can do. Onventis starts one step earlier: with the guardrails that make AI use controlled, transparent and traceable.
That is why we developed Onventis Onix. Our agentic AI platform provides a framework for deploying AI in a targeted and traceable way, starting with the choice of Large Language Model (LLM). Because today’s leading model may not be tomorrow’s, Onventis does not lock you into a single provider. You can choose between models such as OpenAI, Anthropic or the European provider Mistral, aligning technological, strategic and regulatory requirements.
How your data is handled matters just as much. Onventis does not use your company data to fine-tune general-purpose AI models. Models are applied to your data for the specific use case, without releasing that data to train a general model. This controlled AI architecture is a defining feature of Onventis Onix.
Transparency is another essential guardrail. Onventis labels functions and processes generated or controlled by AI, making it clear when content or decisions are AI-influenced. This supports the European principle of trustworthy AI and its focus on transparency.
Human oversight remains central. AI can support, structure, prepare and accelerate, while control over key decisions stays with you. Across Procurement and Finance, this is about more than efficiency. It is about responsibility, traceability, financial control and regulatory compliance. The result is powerful AI that fits your organization and governance model.
FAQ
What does general LLM fine-tuning mean?
In classical LLM fine-tuning, existing, publicly available AI models are trained with additional data to adapt them in a targeted manner. This is exactly what does not happen at Onventis. Sensitive data is neither used for training purposes nor shared in any other form.
Why is a flexible AI architecture crucial?
A flexible AI architecture protects against vendor lock-in and keeps the AI strategy open for the best model – today and tomorrow. This way, companies remain technologically independent, future-proof and able to act, even when the market, regulatory requirements or their own needs change.
What does Human-in-the-Loop mean?
Human-in-the-Loop ensures that AI supports people but does not replace them. Final control and responsibility always remain with the user.
