The digital assistant – reimagined.
Search and Explore Memories.
Cytes’ photographic memory allows you to never forget important experiences again.
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.
Offers a selection of prediction suggestions
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.
Train your model every day to continuously improve its capability
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
Automatically inserts new tags and tasks
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
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
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.