Reexpress one 17+

Reliable on-device document classification & semantic search (+ guardrails for your generative language models)

Reexpress one brings reliable, uncertainty-aware document classification and semantic search directly to your Mac.

Reexpress one is centered around the task of supervised document classification. You train your own model on your Mac using labeled data that you provide. Your data never leaves your Mac, so your data remains your data. Training for classification additionally unlocks advanced semantic search and interpretability functionalities not available on other AI platforms (cloud, or otherwise).

The on-device large language models are great for document classification and search tasks such as predicting and analyzing the sentiment of product reviews; discovering the relevance of scientific article abstracts; and categorizing customer support inquiries.

Plus, Reexpress one provides new, paradigm-shifting guardrails for generative language models: Simply combine the on-device models with the output from your existing language models, such as enterprise models or those from cloud APIs, to add uncertainty estimates and interpretability capabilities.

And amazingly, Reexpress one is a no-code environment: Once you upload your data, the application does all of the heavy-lifting for you with just a few mouse clicks.

Finally focus on what you care about most: Exploring and discovering your data.

Reexpress one is a high-performance on-device machine learning data analysis platform that replaces the need for cloud-based GPUs for many common use cases. To get the most out of Reexpress one, we recommend using a Mac with the following specs: M1 Max with 32 GPU cores or higher (M1 Max 32 cores, M1 Ultra, M2 Max, M2 Ultra, etc.), with 64GB of memory or higher.