The Alfie AI algorithm is based on unsupervised learning thus it is constantly identifying new patterns and relearning to read variables. Our data scientists and engineers work alongside professionals from the relevant fields to research and update our AI models to ensure it remains relevant, especially now during a global pandemic.
We collaborate closely with you to ensure that our AI aligns to your objectives and calibrates to your risk profiling.
Our flexible commercial model caters to enterprises of all sizes and allows easy access to the latest technology to monetize your data sources or to obtain other sources to support their business.
Our technology can extract, transform and integrate structured and unstructured data from various digital sources and types.
We decipher alternative data such as smartphone metadata, geolocation, social media and transaction data to consider business risks from financial, behavioural and digital perspectives.
Our work considers the key aspects that matter for risk assessments. We obtain alternative data covering these 3 components and make sense of it.
The financial aspect, which is the prevailing and traditional way of assessing risks, remain the most relevant method today to assess risks. However, the prevalence of the gig economy, high usage of cash and growing adoption of cryptocurrencies creates gaps in obtaining a full picture of a prospect’s financial health.
An interesting development is the study of behavioural economics (BE) and its impact on people’s decisions on their lives, especially in their relationship with risks and money. We incorporate the study of BE and psychology in understanding the insights gained from our alternative data depository to provide granular and intimate understanding of your prospects.
Digital footprints now reveal a lot more about people’s lifestyles, preferences and their background. While we respect people’s personal lives and their privacy, some relevant information may indicate that they are a good customer that is responsible, conscientious and careful. These types of insights would be beneficial for everyone to know so that pricing of services and products could be risk-adjusted for fairer pricing.
The application of alternative data is varied and only limited by our imagination and curiosity. Other use cases include:
Customer profiling to understand buying behaviour (e.g. impact of sales, timing of purchase, price sensitivity, etc)
Validation of data processing results by staff through the assessment of patterns in workflow, error rate and output
Conduct of online based market research that also evaluates the authenticity, honesty and reliability of results by assessing various factors such as pause before answering, frequency of changes to answers, time and place of taking the survey etc.