7 startups that base their success on anticipating problems

Apr 22

These startups that succeed in other countries They have developed technology that helps others prevent risks in many sectors.

1.- Predict the air needs by Covid

Based in Copenhagen, Cerebriu It has developed a technology that helps anticipate the air needs that a patient with Covid may have. Although it was founded in 2018 as a platform to analyze MRIs of patients with neurological symptoms, their ability to simplify radiology and clinical diagnosis are key to anticipating which Covid patients may need intensive care and thus better organize health resources during the pandemic. Cerebriu uses scan images of the lungs and filters the patient's data when it is still on the scanner, thus accelerating clinical decision-making at critical times.

2.- IA to anticipate climatic catastrophes

The American Divirod has developed a platform for hardware as a service that predicts the risk of climatic catastrophes caused by water anywhere on the planet. The platform is called Divisens and works like a Google Maps of water: collects information from the satellite network around the world 24 hours a day and thanks to its artificial intelligence layer offers very accurate data on potential flood or temporary risks maritime, among others.

According to its founders, there is no technology capable of offering such complete information on water resources. Divirod democratizes access to public water data and facilitates risk management and damage assessment for insurance companies. They just closed a million dollar investment round.

3.- A bracelet to avoid high blood pressure crisis

Swiss Aktiia It has developed a blood pressure measurement system without a cuff, to avoid health crises due to high blood pressure. Founded in 2018, it was the first in Europe to obtain authorization to market a bracelet to monitor blood pressure 24 hours a day.

Its technology is the result of more than 15 years of research on the language of our heart signals and the possibility of decoding key markers to obtain a better understanding of blood pressure. Research that has become a key product thanks to the precision it achieves and the opportunity to respond to the needs of a third of adults worldwide (the volume that is calculated to suffer from hypertension).

4.- Prevent traffic accidents

More artificial intelligence anticipating catastrophes. In this case, road accidents. Provizio is an Irish startup capable of anticipating a car accident in real time, thanks to long-range image sensors combined with artificial intelligence technology. They say they want to end a scourge, traffic accidents, which have failed to avoid awareness campaigns or fines. Human error is responsible for 90% of traffic accidents; if it can be prevented, it can be avoided.

Founded in 2019, it has just received a capital injection worth more than 5 million euros to revolutionize road safety with its accident prevention technology.

5.- Anticipate what employees need to retain talent

The company culture based on data. Playtus proposes to apply AI technology for talent management in all its stages. From the team selection itself to find those who best fit into our project, up to the knowledge of their needs at each stage of their professional life to know what motivates them and design policies tailored to their demands. The idea is that this management based on real data and not assumptions of the shift manager allows to put talent in the right positions at all times, know the changes that occur over the years and the responsibilities and anticipate their demands to retain them and prevent them from going to the competition.

An even more key tool, if possible, for companies with equipment working remotely.

6.- Anticipate sales

Commercial intelligence or the application of AI to sales is perhaps one of the best known uses of this technology. It is key to designing marketing and sales actions, anticipating what customers will buy and when, but also for better stock management, avoiding excesses or breaks in stock due to poor forecasting.

In that line he works iERP, all-in-one AI software capable of making very accurate demand predictions in real time, anticipating delays in customer payments, late payment, etc. It does this by importing the company's data very easily to transform it into practical recommendations and predictions, without having to have knowledge of AI.

7.- Prevent fraud in other startups

Every is an anti-fraud solution for sectors such as fintech, ecommerce, gaming and other industries subject to regulatory compliance in relationships with their online customers. Artificial intelligence software that helps prevent scams in payments, account thefts, capital laundering operations, etc. in real time, that helps companies in the regulatory compliance of their commercial activities and is capable of creating personalized risk models.

The customizable rule engine allows our customers to create scoring rules and models that fit any business purpose, calculate dynamic and static thresholds, speed checks and any other formula with a few clicks and get total flexibility.

Customizable machine learning models allow you to use an integrated framework for supervised machine learning, easily integrate machine learning models without development resources, predict VIP / whales, fraud, charge returns, loyal customers and having as many machine learning models as necessary for the company. ¿Because we? We understand your pains and challenges. Therefore, we provide technology with a unique approach to solve different fraud problems and to create powerful risk strategies based on collaboration between your marketing, product, compliance teams, risk and ALD.