The digital assistant –  reimagined.

Search and Explore Memories.

Cytes’ photographic memory allows you to never forget important experiences again.  

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Discover and understand your unique workflows

Visualise your automation results and more

Filter by context

Collect and Share Experience

We are all individuals with unique talents. Imagine the possibilities unlocked if we share our expertise to build a collective intelligence.

Import, export and share experience packs

Continually track your progress with our in-built experience calculator

Hands on (or off) Autopilot

Automation suggestions when you need them the most. Cyte is always on and looking for ways to help. 

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Offers a selection of prediction suggestions

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Draws on its experience to replay learnt tasks at command

Performs tasks in a fraction of the time that a human would require

Discrete interactions through native notifications

Better by the Day

Every day your Cyte expands its ability using insights and patterns found during the days operation.

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Train your model every day to continuously improve its capability

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Adjustable training times to suit your hardware

For larger and complex models use our managed services

Discover Unmapped Potential

Cyte aims to use downtime to find imaginative ways to expand your knowledge base.

 

Reduces bias in your model overtime

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Automatically inserts new tags and tasks

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Double your learning capacity

Simple, but Powerful.

With a range of configuration options tucked away under the hood Cyte is customizable for any user.

Extend Cyte to help your business

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All data is collected and stored locally so you are in complete control

Windows and Mac compatible

Pre configured for out of box use 

Easy to use interface

BYO Hardware of use one of our tailored packages
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Smart process automation that’s easy to use.

Cyte uses a hybrid approach to intelligent automation with a combination of deep learning and robotic process automation. This allows us to overcome the limitations of AI today and take advantage of technological advancements over time.

Complex tasks can be translated to use deep learning as technology progresses.

Long tasks which are too complex for current deep learning use a visual builder to combine short automations.

Repetitive and short tasks are using deep learning.