Data is often acquired from multiple sources and comes in varying formats and qualities. We take this data and clean, filter, and standardise it to prepare it for further processing.
We then extract and validate relevant data from various sources. During this process, the extracted data is digitised and put in a structured format so it can move more effectively down the Data Value Chain. We can also enrich this data by using external sources and domain knowledge for further validation.
Data is made more useful and accessible when stored and organised with metadata.
Once data is available in a structured and accessible format, we use analytical methods to produce actional insights and conclusions. We do this by combining preciously unconnected data sets using analytics.
Data visualisation tools are used to reveal patterns and assist analysis of complex data, leading to deeper insights and better business decisions.
The Al Nexus
Our proprietary Al platform, Podder, enables end-to-end development for organisations to configure, fine-tune, and deploy Al models into any system in an accelerated timeframe.
Core to Podder’s foundation is strength in Data Extraction and Management, supported by a robust Operations and Security framework. The platform allows many modules to be reusable and pluggable, enhancing scalability with up to 99.5% accuracy.
“Nexus helped us develop a prototype quickly and reasonably. They then helped us design the product specification and proposed the best way from the viewpoint of technology and their experience. On top of that, they prepared all the documents needed for internal understanding. A great collaboration!”
Yoshihiro Kimura, CEO, ProfinanSS Inc.
“We have fostered a strong relationship with Nexus over a period of time working on proof of concepts and Beta tools. We are genuinely excited about the fruitful and long-term potential of our partnership with Nexus.”
Neil Marshall, Co-Founder and COO, Kaizen Compliance Solutions
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