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Prism is a privacy-first deal intelligence platform for private equity, built on the award winning expertise of Palladium Group's Transaction Advisory practice. On the award winning expertise of Palladium Group's Transaction Advisory practice expertise of Palladium Group's Transaction.

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Prism FAQs

Explore key insights and answers about Prism by Palladium Group, an AI-driven solution enhancing the pre-diligence stage of private equity deal processes.

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How private is Prism?

Prism implements a fully private “walled garden” for each of our clients. Your data is fully secure, private, and under no circumstances will your data, your queries or any responses be used to train any AI models.

Can my data be used to train the LLMs?

No – your data is fully secured, private, and can not be used to train the LLMs

Do I need prompt engineering, or a prompt library to get the most from Prism?

Our team has baked investor specific reasoning and understanding in to Prism. You can talk to Prism like you would a member of your team – no expertise needed – and obtain the outputs are looking for.

What challenges does Prism address in the use of AI for deal processes?

Prism addresses challenges such as AI hallucination, reasoning limitations, analytical capabilities and numeracy issues by ensuring high-quality, complete, and correct data. Prism also emphasises the importance of referenceable inputs, and facilitates human oversight, with users acting as editors-in-chief via highly efficient iterative processes for AI-generated outputs.

Does Prism have its own LLM?

Prism is LLM agnostic – the platform runs tools on whichever LLM best suits the specific task at hand – whether custom or private.

Why use Prism vs a generic LLM (GPT, Gemini etc)

With Prism you harness a fully-private investor specific platform which is programmed to reason, think and speak like a member of your team. With no need to waste crucial time de-GPTing output language, the ability to implement custom AI workflows that fit directly into existing processes, flexible API capabilities, and connecting to internal datarooms and datastores to maximise the value of your internal as well as external data, the choice is clear.

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