CLARITY FROM COMPLEXITY
Kajeka are pioneers in making complex data visually engaging, revealing hidden patterns and creating actionable insights.
Every year the amount of data captured by the business world and research organisations grows exponentially. Problems arise when there is simply too much information to process and the ability to make fully informed decisions, become muddied or lost.
Delivering clarity from complexity is what we stand for. We create products that ensure your project or organisation makes more effective, more efficient data-driven decisions.
IT’S IN OUR DNA
Our researchers in network analysis began nearly two decades ago, first at the Hinxton Genome Campus, near Cambridge and subsequently at University of Edinburgh. Confronted by an explosion in complex data describing the activity of genes, the aim was to transform the way we interpret biological data, which is often complex and difficult to understand with conventional approaches. The result was a series of revolutionary and ground-breaking visualisation techniques that have opened a new era of graph analyses.
We have over 10 years of experience developing network visualisation technology
Networks are a powerful visual medium for understanding relationships and associations between people or entities. They are a perfect way to tap into our innate ability to recognise patterns and structures within data, helping analysts make informed decisions, quickly.
Network analysis provides an alternative to conventional data-modelling approaches which are time consuming, question based analyses with limited scope for visualisation. Networks, also known as graphs, provide a versatile approach to modelling data from a large variety of industry sectors.
Transferring data into a network paradigm allows the use of algorithms, techniques, ideas and statistics previously developed in graph theory, engineering and computer science. Using Kajeka’s platform, analysts and students alike are able to assess data and explore the position of a point of interest in the context of its local neighbourhood or relative to the network as a whole.
TRANSFORMING RAW DATA
INTO BUSINESS INTELLIGENCE
Kajeka’s software allows you to gain insight and tangible value from data. Whilst our products and services are at the cutting edge of visual analytics technology, they are also easy to use and gain instant and transformative results
Tools can be used by a non-specialist
Hypothesis-free data driven analyses
Perform predictive analyses
Integration of information from multiple sources
The handling of data from a small to vast scale
Trends and patterns can quickly be identified and acted upon
“[Graphia Pro] is an amazing software product. For someone like me who is devoted to systems biology analysis of tissues and diseases, it is a major step forwards.”
James P Bennett MD, PhD
President and CSO, Neurodegeneration Therapeutics Inc
Kajeka’s products and services have applications in a broad range of industries including:
Large datasets can be incomprehensible when stored as a spreadsheet. Our graph technology allows you to visualise structures within data, helping you to explore and present your findings.
Biomedical Sciences & Agriculture
Omnics analysis platforms have created a data deluge within these industries. Our software provides the means to explore and understand the relationships between genes, proteins, metabolites and cells.
Financial Services & Insurance
Understanding the relationships that drive financial markets is key to predicting future trends, Our software provides the means to explore such data quickly and in real time.
Law Enforcement & Defence
Interactions between individuals can take a many forms and are a challenge to track. Our software enables the analysis of large social networks, providing advanced means of tracking potential threats.
Graphia Enterprise is the next generation big data visual analytics platform. Designed and built from the ground up to provide a powerful and extendable network analysis environment suitable for many types of data from many sectors. With support for millions of nodes, dynamic layout, advanced filtering, transformation, attribute handling, graph analytics and more. Massive networks can be explored in real-time. Graphia Enterprise has been designed to integrate with external resources and be customised to meet the needs of a specific sector.
Graphia Professional is our entry-level visual analytics platform. Fast, user friendly, it was designed by computer scientists, mathematicians and biologists for use by other analysts. With Graphia Professional large network graphs can be visualised, explored and interrogated, facilitating rapid insight into the hidden patterns within. The technology behind Graphia Professional was developed in the academic domain and the use of its predecessor has been used widely in academic research.
THE POWER BEHIND KAJEKA
We want our innovative technology to add value to the working lives of the business people, scientists and clinicians who need hypothesis free analysis in order to generate actionable insights from data.
Based within Edinburgh’s famous Roslin Institute, our company is more than a decade old and is comprised of handpicked academics, researchers and entrepreneurs. Below is a brief introduction to our Senior Management Team.
Les Gaw, CEO
Les leads the commercialisation of our business and has worked extensively with venture backed technology companies in either CEO or COO roles. His key skills involve driving business development and creating meaningful revenue streams within these companies. A graduate in Information Engineering at The University of Strathclyde, Les is passionate about ensuring product development is driven by customer need. He is also an enthusiastic member of the Institute of Directors.
Professor Tom Freeman, Chief Scientific Officer
Having gained his PhD from Imperial College, Tom began his long association with data driven
biology when he worked at the Wellcome Trust Genome Campus. He now leads the Systems
Immunology Group at the Roslin Institute, where his research combines the use of experimental
technologies to examine the immune system, together with the development of innovative
approaches to the analysis of complex data and systems. Tom was founder of Fios Genomics,
a company specialising in biological data analysis and in 2015, he founded Kajeka.
Paul Chowdhry, Chairman
Paul is a highly experienced board member whose proven skills in cusomer focus, leadership,
strategy and innovation have a strong part to play in the on-going development of our business.
He has led led large teams and has delivered product innovation, transformation programmes ,
planning processes and strategic direction to a wide variety of businesses. He has also played a
key role in several corporate investment, acquisition, intergration and sale transactions. Paul is
highly active within the Institute of Directors.
Professor David Hume, Non Executive Director
Professor Hume BScHons, PhD, FRSB, FMedSci, FRSE is a graduate of the Australian National University
and an internationally-known genome scientist. His major research interests are in transcriptional
regulation, the function of cells of the immune system and genetic variation in disease susceptibility.
From 2007-2017, he was the Director of The Roslin Institute of the University of Edinburgh. Previously,
he headed the ARC Centre for Functional and Applied Genomics at the University of Queensland. David
has had a long-term collaboration as a visiting scientist with the RIKEN Omics Research Centre in
Yokohama as part of the FANTOM Consortium.
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