PARAMUS

Intelligence Applications for Chemistry

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Featured: Chemistry Copilot

Seamless integration of research data, analytics, theoretical calculations, and data science – combined with embedded LLMs such as ChatGPT, Gemini, or Claude – enables a new paradigm for interacting with experiments, domain knowledge, and scientific data.

Copilot makes digital chemistry universally accessible

PARAMUS offers open-source modules (free) and specialized modules (e.g., for computational chemistry). Each module has its own set of skills (or tools), overseen by a central supervisor AI agent.

Context-Centric Paradigm

The interface is designed for scientific insights: A context-centric way of working transcends interaction to the way scientists think and work.

Examples: ‘Antropic Claude Desktop’ is designed for classic chat dialog, openAI Windsurf is designed for programmers. Paramus Copilot is designed for scientists..

Local-first architecture

The local Copilot is optimized for data sovereignty, file-based data control, and robust IP (intellectual property) protection. The LLM processes only what you configure – on-premises, confidential, and under strict governance. In extreme cases PARAMUS can operate in full island mode (using Ollama as backend).

Model Fine-Tuning

Automatically generate training data or enrich your knowledge graph from chat interactions – empowering fine-tuning of your organization’s LLMs. (optional, U.S. only).