Okapi is excited to announce the inclusion of a new external data source to enrich existing business datasets for its customers. This external data source is combined with datasets provided by the customer, for finding anomalies, root-cause and predictions.
The external data source announced today is the weather API. This includes temperature, humidity, snowfall, wind factor, and even location-sensitive metrics such as sea level for buildings found on the coast.
“By using sensitivity analysis and running predictions and testing, we can estimate with a high level of accuracy the effect that various weather conditions will have on factors such as tenant satisfaction, staff and vendor efficiency and leasing optimization.”, says Maya Gal, Okapi’s CTO and co-founder.
Added Benefits of Okapi Weather API:
Okapi was founded by entrepreneurs Iris Tsidon and Maya Gal in 2017. The young start-up is gaining momentum in the North East and Canada with customers such as QuadReal Property Group, Bentall Kennedy, JBG SMITH, and others.
About Okapi
Okapi is an Artificial Intelligence SaaS platform that delivers actionable, personalized notifications to every user in the commercial real estate organization according to their unique roles, while perfectly aligned with the core business goals. The Okapi solution supports teams in improving tenant satisfaction, preventative maintenance, leasing efficiency and energy savings. For more information, visitwww.okapi.ai