Automation for Finance and Risk

ChatGPT is a general-purpose assistant designed for open dialogue. Yseop Copilot is a structured platform built specifically for regulated content automation in life sciences, with full traceability and compliance by design.

Agents automate complex, repeatable processes with consistency and compliance. They support scalable document generation while reducing manual effort and maintaining auditability.

Yes. Yseop Copilot is actively used by leading pharmaceutical companies to generate validated, compliant documents across a range of regulated content workflows.

Yes. Yseop uses a deterministic form of RAG. All retrieval logic is defined during system setup to ensure that outputs are based only on validated, traceable content sources.

LLMs are flexible but probabilistic, while Symbolic AI is deterministic and traceable. By combining both, Yseop achieves a balance of creativity, precision, and control that is critical for regulated document generation.

Agents are the building blocks of Yseop Copilot. Static agents follow predefined workflows. Dynamic agents adapt in real time, selecting tools, executing actions, and validating results.

Yseop uses a Composite AI strategy that combines Symbolic AI and large language models (LLMs), supported by innovations like GraphRAG and SLM to ensure traceability, compliance, and scalability.

LLMs are not assistants but they’re specialized components in our AI system. We use them to power structured generation within controlled workflows, as part of a composite AI strategy that combines flexibility with precision. This balance ensures that generative AI becomes usable, trustworthy and scalable for regulated industries.

Yseop selects LLMs based on each specific use case. Every model is rigorously evaluated to ensure accuracy, traceability, and compliance with life sciences standards before deployment.

Yseop has progressed from static automation to dynamic, agentic intelligence. Future agents will self-configure, generate and validate code, and optimize workflows. This approach enables scalable automation across medical writing, regulatory operations, and beyond.

Generative AI is a class of AI techniques that involve creating content, data, or output that is not directly copied from existing examples, but rather generated by the AI system itself from data and documents.

Yseop uses generative AI for content creation in regulated industries like life science and finance. We use several types of generative AI technologies and techniques depending on the type of information used as an input and the target output format (e.g. table, text, etc.)

ChatGPT is general-purpose and unpredictable. Yseop Copilot is purpose-built for life sciences: structured, auditable and compliant automation for regulated document generation. 

Natural Language Generation (NLG) is a subsection of Natural Language Processing (“NLP”). NLG software turns structured data into written narratives, writing like a human being but at the speed of thousands of pages per second.