Better Data.
Deeper Insights.
Smarter Decisions.

Uncover insights in complex qualitative data. SUMMETIX uses proprietary Argument Mining and large language models to discover patterns and trends that help you save and make money.

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What SUMMETIX is used for
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SUMMETIX turns data into actionable insights

Filter Arguments

Highlight the most insightful arguments

less data required for meaningful Gen AI
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Aggregate Insights

Logically group meaningful arguments

faster than humans without compromising quality
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Detect Anomalies

Automatically detect anomalies ahead of time

months earlier than current methods
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NEWS

SUMMETIX joins Barclays Eagle Labs AI Bridge programme

SUMMETIX has been accepted onto the Barclays Eagle Labs AI Bridge Programme delivered by CodeBase. This programme is designed to help both startups and established businesses understand the different approaches to collaboration, and disruptive innovation in generative AI, so they can harness the potential for greater productivity. – We are

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Why do we need arguments in RAG?

RAG (Retrieval-augmented Generation) is only as good as the retrieval. If retrieval fails, the LLM will either still make up an answer (and possibly hallucinate), or simply not be able answer the question. For example, ChatGPT (in its latest 4o version and using web search) is very good in providing

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