Mastering Quantitative Decision Making

LLMs can perform basic reasoning and mathematical calculations but fail to manage an enterprise’s vast and complex quantitative data.

Empowering LLMs with causal reasoning enables your organisation to master quantitative data and unlock accurate and reliable business decision-making.

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Causal AI and LLMs

Mastering Quantitative Data

Enterprises run on quantitative, tabular, or time series data. Generative AI systems, particularly large language models (LLMs), work well with language but not numbers. They cannot handle quantitative data natively, and other approaches are needed.

By grounding LLM models with Causal AI, you empower your GenAI with numerical capabilities. Using your enterprise’s quantitative data, you can reduce hallucinations and improve the accuracy of your decisions.

Causal AI and LLMs

Get Trusted Answers

Gen AI models hallucinate, producing convincing yet non-factual answers. Grounding Gen AI models in Causal AI reduces hallucinations and provides explainable answers to improve trust and accuracy.

Causal models provide verifiable citations, display the data used and the underlying logic, enabling stakeholders to perform a full audit.

Causal AI and LLMs

Turbocharge your data scientists

Take charge of your data science productivity by grounding your existing quantitative models. Our agentic LLM-powered workflows turbocharge data scientists with domain knowledge co-pilots.

The co-pilots enable rapid causal model and code development, ensuring data scientists can effortlessly generate causal artefacts that can reliably and accurately answer causal business questions.

Causal AI and LLMs

Truly understand your business

Through causal discovery, you will have a deep, quantitative understanding of your business and will be able to conduct

Scenario analysis – What if we reduced the price of product x?
Root cause analysis – Why are sales down this month?
Causal effect estimation – How can we improve customer retention?

Causal AI and LLMs

Access Your Existing Enterprise Data

decisionOS works directly with your existing enterprise data service, including Databricks, Snowflake and Google Big Query. decisionOS is the quickest and simplest way to get up and running with causal AI and grounded business decision-making.

@remote (backend=your_data_cluster)
def data_causal_discovery (data):
	# Executing your function
    return causal_model

Dive deeper into the opportunities unlocked by GenAI and Causal AI

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LLMs and Causal AI: Synergies and Opportunities

Dive deeper with this session from the Causal AI Conference, San Francisco, June 2024.
Presented by Max Sipos, Chief Scientific Officer and Co-Founder of causaLens.