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Fisent Named HFS Research Hot Tech Vendor

Being LLM-agnostic means that Fisent can not only ensure their customers avoid LLM vendor lock-in but also apply the model that best fits a specific use case or each step in a process, whether it's for processing legal documents, customer service automation, or financial data analysis.

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Fisent Technologies’ BizAI empowers seamless GenAI model switching for end-to-end automations

There is no doubt the rapid evolution of GenAI is a difficult space for enterprises to navigate. By the time a specific GenAI model is implemented, a newer, better model will likely be made available. Fisent BizAI offers full model optionality, allowing users to seamlessly add and shift GenAI models as needed.

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Fisent Technologies is First to Offer Applied Generative AI Process Automation Solution with Full Model Optionality

Generative AI models continue to advance at a rapid pace and new LLMs are being introduced by well-funded market challengers at almost the same velocity. This has created an urgent need for systems that can seamlessly add and shift the GenAI models best suited to the specific use case requirements.

Fisent Named HFS Research Hot Tech Vendor


Being LLM-agnostic means that Fisent can not only ensure their customers avoid LLM vendor lock-in but also apply the model that best fits a specific use case or each step in a process, whether it’s for processing legal documents, customer service automation, or financial data analysis.

Fisent Technologies’ BizAI empowers seamless GenAI model switching for end-to-end automations


There is no doubt the rapid evolution of GenAI is a difficult space for enterprises to navigate. By the time a specific GenAI model is implemented, a newer, better model will likely be made available. Fisent BizAI offers full model optionality, allowing users to seamlessly add and shift GenAI models as needed.

Fisent Technologies is First to Offer Applied Generative AI Process Automation Solution with Full Model Optionality


Generative AI models continue to advance at a rapid pace and new LLMs are being introduced by well-funded market challengers at almost the same velocity. This has created an urgent need for systems that can seamlessly add and shift the GenAI models best suited to the specific use case requirements.

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