Predicting Lease Risk
Okapi AI provides comprehensive risk assessment for all sectors of the commercial real estate market, using complex machine-learning technology. By looking beyond the lease data that landlords currently have at their disposal, Okapi is able to extrapolate, benchmark and predict different risk factors associated with existing or prospective tenants during the due diligence phase. This enables asset managers and leasing teams to make informed decisions that can mitigate risks and reduce potential loss.
The Okapi platform analyses hundreds of data points collected daily from our internal systems, as well as information collected and purchased from third-party providers, for example company rating vendors such as S&P Global, macro statistics from the National Bureau of Statistics, market-specific data Data Axle, financial reporting from companies such as CSI Market, along with data capture from all the major news sites and social media platforms. These data points are evaluated against dozens of benchmarked risk factors which have been derived from analyzing over 20,000 leases. The outcome is a comprehensive risk report targeted at the level of tenant, asset and portfolio – which clearly presents the overall risk along with the underlying risk factors.
How it Works
Okapi uses augmented intelligence to enable you to get a thorough understanding of who your tenant is.
- Starting from the simplest level, our AI machine will need only the name of the tenant.
- Unlike a manual system, Okapi’s engine is able to pinpoint the business entity from just basic and even incomplete information. The algorithm identifies if the business has any digital presence, even if it is only a social media account or landing page. This lends validation to the entity.
- Referring to the NAICS code enables the Okapi engine to extract information from relevant data lakes and assess the associated risk factors. The algorithm is able to understand market trends and extrapolate information relevant to your specific tenant.
- The engine will also identify if there are any additional locations associated with the business, and if there is a parent entity. This helps to give information about the financial health of the tenant.
Once Okapi has got to the heart of the business information, it is possible to generate an accurate risk assessment report and this is great news for asset managers who want to be mindful of their risk exposure as well as being able to plan ahead.
Okapi’s AI engine makes it possible to understand the risk factors involved with all tenants, whether new or existing, even when there is very little data available. Our revolutionary system makes this possible by pulling data from many global sources: once the data has been processed, it lights up patterns which were not previously visible, for example, by understanding market trends for a particular industry, it becomes possible to assess the risk factor for a tenant who has a small business in the same field.
When it comes to interacting positively with existing tenants, Okapi’s system makes this possible with just a few clicks, by flagging up any news mentions or other announcements, in the same way as you would interact with the people behind the business on a LinkedIn page, congratulating them on a business win or a new employee. This re-enforces our belief that “you know your tenant”, in other words you as an asset manager take the time to get to know the client.
Integrate seamlessly with existing systems to collect data
Wherever your data is stored, Okapi AI’s advanced data extraction system connects your data silos without burdening your IT department. Okapi improves the quality of our recommendations and predictions by enriching your building and business data with dozens of external data sources, introducing even more opportunities to optimize financial performance.
Machine learning algorithms learn from your data to personalize interactions
Okapi AI leverages artificial intelligence, machine learning and significant computing power to process massive amounts of data. At Okapi we understand that every tenant/lease behaves differently. This is why we designed our system to automatically and continuously monitor those differences and adjust its inner workings to easily fit within day-to-day risk analysis and monitoring processes.
