ACRAZO Demo Center

See how a private AI decision layer can feel before the pilot is installed.

These demo pages are visual workflow examples. They show how ACRAZO can structure public knowledge, private documents, customer requests, technical history, marketing knowledge, strategy notes, and expert rules inside a client-controlled private LLM environment.

Open Science Demo Request Private Science LLM

Private AI demos by decision domain.

Each page is written to be impressive for buyers while staying realistic for a 60-day private pilot: guided inputs, private uploads, reasoning templates, and decision-ready outputs.

Science Formulation Demo

Coatings R&D workflow: public chemistry context, private TDS/MSDS, old formulations, test results, customer complaints, and technical service history.

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Marketing Demo

Marketing workflow for any industry: brand positioning, customer objections, campaign assets, CRM notes, competitor messaging, and launch communication.

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Strategy Demo

Executive workflow: market-entry, investment scenarios, competitive intelligence, risk maps, assumptions, and board-level decision memos.

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Diplomacy Demo

High-stakes policy workflow: country positions, veto-risk, negotiation wording, stakeholder maps, and non-escalatory proposal design.

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Private LLM Deployment Demo

How the pilot looks when installed in the client’s private cloud, on-prem server, or offline workstation with no public AI exposure.

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Science LLM Demo

Open the animated private LLM demo: local/private upload, AI-ready memory, formulation reasoning, ranked experiments, and customer-ready response.

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Public materials knowledge + private company memory
The visual is a demo metaphor: ingredients, failure modes, test history, customer requirements, and target properties are connected inside the client-controlled environment.

Inspired by modern R&D AI platforms

From demo screen to private pilot.

Alchemy’s product story emphasizes LIMS/ELN plus AI and AI-guided DOE. Uncountable emphasizes replacing fragmented R&D data with an integrated AI-ready knowledge base. Albert Invent emphasizes chemists-in-control and AI trained on a company’s signature chemistry. ACRAZO turns that market language into a private decision-layer pilot: not a public chatbot, not a full system replacement, but a client-controlled AI workflow above existing documents and decisions.

Public starting knowledge can be used for the demo look and workflow logic.
Private documents stay inside the customer-controlled pilot environment.
Outputs are presented as recommendations, options, confidence notes, and next actions.