At Knossys we work on the latest advances in distributed knowledge based
systems. Our products range from scalable cloud based machine learning systems,
to rapid integration and assimilation of data as well as proven data visualization
At Knossys we work on the latest advances in distributed knowledge based systems. Our products range from scalable cloud based machine learning systems, to rapid integration and assimilation of data as well as proven data visualization technologies.
We help you analyse your technical needs Our expertise comes from years of working in a research and development environment. We are familiar with the challenges of building cutting edge research and production systems.
Rapid prototyping on our custom machine learning platforms We can get you quickly to a prototype stage so you can see what the full system would look like, allowing you to modify and specify how data should be processed, visualized and made accessible. In a lot of cases the existing modeling and authoring tools provided by Knossys gets you most of the way.
Custom solutions For those cases where off-the-shelf Knossys solutions aren't applicable we help design and build custom solutions.
Accessible anywhere on any platform We ensure that all interfaces and analytics tools are web accessible and run on all platforms that support a web browser.
Scalable cluster solutions All of our back-end systems run custom scalable machine learning architectures for those situations where our solutions need large amounts of resources. All our solutions run in the cloud, whether it is on our own servers or any platform you choose.
All of the expertise and experience at Knossys is available for consultancy. We can help you put a data visualization system in place, optimize and facilitate your back-end analytics processes and design your data analysis pipeline.
We bring more than 20 years of software engineering and research to the table in the areas of: neurosurgery simulations, large scale artificial intelligence architectures, virtual humans and cognitive training simulations.
Typically we are called in to tackle specific research and development problems startups and companies face as they migrate to large scale data management, processing and visualization.
Contact us for a free evaluation of your needs.
BROMP is a protocol for Quantitative Field Observations (QFOs) of student affect and behavior. Many of these models are developed using data collected through the Baker Rodrigo Ocumpaugh Monitoring Protocol (BROMP), and the HART Android app.
Knossys has worked with Testworks Inc's research, which involves data-mining algorithm development, data analysis, chip design and fabrication in collaboration with various industrial partners.
Knossys has worked with various Fortune 500 companies in the past either on a consulting or contracting basis.