Paramus Transforms the Core Economics of Chemical Software
Traditional vendors offer a scattered landscape:
- Cloud services to calculate someting
- Data stores from GIT to ZENODO
- fine-tuned LLM’s
- ‘classic’ AI Models, non-LLM (QSAR, retrosynthesis, DFT automation)
- Calculation tools (QM, MD, …), maybe heavy load
- Applications: ELN, LIMS, CDB …
Paramus delivers ‘unification’ – one entry point for agents:
- A single, trusted chemistry domain runtime that LLMs can operate on.
- A scaffolding enabling general-purpose agents to perform chemical tasks reliably.
- A execution substrate that provides domain-specific abstractions
In essence: Agents/AI become the actual “users” of the platform.
… and then the users (may) use the agents.
Strategic approach
Paramus positions itself as the bridge between foundational LLMs/Agents and the real chemistry.
- Agents are rapidly becoming execution-capable.
- Enterprises fear hallucination, lack of grounding, and safety failures.
- Chemistry is a high-risk, high-IP, regulation-dense domain → agents cannot function without a trusted substrate.
- No hyperscaler offers a chemistry-grounding layer (yet).
How can we achieve the unification of this major task?
- We curate the system (models, data, software) based on more than 75 years of combined industry and academic experience.
- We are AI-first. We employ Vibe Coding (if you like it or not – its works)