Okapi are the leaders in innovative risk assessment for the commercial real estate (CRE) industry. They work with some of the largest landlords in the world, providing comprehensive, timely, and accurate risk assessment reports for asset acquisition risk, new tenant risk, and existing portfolio risk.
Challenge
Okapi aggregate data from hundreds of relevant and diverse data sources in a variety of structured and unstructured formats. The data collected is then fed through Okapi’s machine learning engine to create highly accurate risk analysis reports for their CRE clients. This provides substantive insights for their customers in relation to portfolio management, tenant risk, and asset acquisition
Their data sources include hiring information from HR platforms, labor statistics, location-based data as well as more traditional and structured data such as market-specific data and financial reporting information. While these data sources are pivotal to the Okapi service they can be difficult to access and often aren’t updated or published on a regular basis.
In order to improve the effectiveness of their data insight tools, Okapi wanted to move closer to being able to provide more real-time updates. News data was therefore identified by Okapi as a crucial element of their risk-prediction algorithm, providing up-to-date data and even what cofounder Maya Gal described as a “peek into the future”.
With AYLIEN we’re doing a better job of making sure that the news we’re looking for is actually about the relevant company.
Maya Gal
Co-founder, Okapi
Solution: Real-time aggregation from trusted sources
AYLIEN News API is the leading innovative data as a service solution for news, providing customers with access to over 80,000 high quality sources. Every news article is enriched with 26 data points in real time through a proprietary natural language processing (NLP) engine that adds structure to unstructured news, making it easy for customers to pinpoint the news that matters.
Okapi aggregates relevant news using AYLIEN News API and applies their own layer of risk-focused machine learning that further tags and categorizes news data based on a custom domain-specific taxonomy to ensure the highest impact insights are included in risk assessment reports for their CRE clients.
Why AYLIEN?
Okapi chose AYLIEN News API after a thorough evaluation process of several vendors. Easy access to news content, powerful search functionality, and accurate categorization combined to deliver consistently excellent results for Okapi. Time to value was fast thanks to AYLIEN’s straightforward business ethos and simple integration.
Two particularly important reasons why Okapi chose AYLIEN News API are: the flexibility and agility of AYLIEN to work with Okapi to achieve specific requirements, such as adding sources requested by clients. Also, the business values of both companies align thanks to the mutual commitment to providing clients with the best possible service through the implementation of cutting-edge AI technology.
AYLIEN are known for their NLP expertise, and their capabilities as a nimble
organization means they are a lot more flexible than legacy providers in the news
intelligence space.
Maya Gal
Co-founder, Okapi
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