Zapata AI’s Industrial
Generative AI Solutions
Address complex — yet common — industrial-scale problems involving both language and numerical data.
Zapata AI Sense delivers unprecedented insight with faster and richer simulations, more efficient optimization solutions, and inferred data for unmeasurable variables.
Prevent bias by balancing training datasets with new, realistic data that has been intelligently-generated to follow the statistical patterns of real data.
Enhance your analytics by inferring data for unmeasurable variables based on their correlations with variables that can be measured directly.
Reduce waste and downtime by generating more accurate demand forecasts to optimize your supply chain scheduling.
Zapata AI Prose saves you compute costs by compressing large language models (LLMs) customized for your business and securely training on your own proprietary data and IP.
Boost customer retention with more flexible and personalizable chatbots, powered by custom LLMs trained on your corpus of documentation and customer data.
Speed up the regulatory approval process by using LLMs trained on IP and proprietary data to complete first drafts of regulatory documents.
Learn from new research faster by using LLMs to search journals for relevant research and summarize their findings.
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Generative AI isn’t just for text and images. We’re doing advanced numerical analytics that are helping us make decisions; we had to build something new that works within our constraints, securely. The results with Zapata AI’s Generative AI have been incredible. What we’ve found is there is hardly any difference between the Zapata AI predicted data and actual performance data.
Race Strategist, Andretti Global
As you might imagine, optimizing our production schedule is an incredibly complex and unique challenge. There are a wide range of possible configurations and a high number of constraints. Working with Zapata AI and CQE, we were able to prove [Zapata AI’s technology] outperforms other techniques in production planning.
Emerging Technologies Manager, BMW Group