Smart Open Lisboa: Housing – What to expect at Demo Day

June 21, 2019

The Demo Day for the third edition of Smart Open Lisboa (SOL), an open-innovation program connecting some of the most relevant players in the residential and commercial real estate sector with startups to implement innovative solutions in the city of Lisbon, is fast approaching – join us next Thursday, June 27th, at Museu d Água to see the solutions presented.

What to Expect

For this second vertical of Smart Open Lisboa, focused on the residential and commercial real estate sector, a total of 19 startups were present at the Bootcamp, with several going forward for the pilot phase – there are a total of 27 pilots being developed.

A preview of the pilots

As the startups’ technologies can get applied to a multitude of businesses, they have joined the partners to test these solutions in the partners’ businesses, proving its effectiveness in bettering the lives oh thousand of people in Lisbon.

Here are a few examples of the technologies applied in the pilots, whose results will be presented by the startups and partners:

Alfredo AI

Alfredo’s machine learning algorithms will help a bank evaluate residential properties (without sharing any data with Alfredo) generating new credit leads and mitigating risk through an intelligent internal portfolio analysis. In this edition of SOL Housing, they tested it against the traditional way banks evaluate apartments and houses.

Nudge Portugal

Nudge Portugal developed a pilot to intervene in a commercial space’s food court to: increase the return of food trays, the screening of garbage for recycling in the food court as well as to avoid perpendicular queuing and corresponding blocking of corridors.


Meazon worked with the partners on the installation of energy submeters in a building to monitor the elevators and allow a faster service and predictive maintenance through analytics and alerts based on the customer needs using the power consumption or production data.


This startup developed a system to measure electricity use and other data in the homes of older people, identifying events that describe the activity and building routine patterns. Then, they look for anomalies and send status alerts to families.


This startup developed software of predictive maintenance of water leakages or bursts in a determined neighborhood, by a collection of data with sensor networks and machine learning algorithms.

Join us

If you want to see, first hand, the results of this live experimentation in Lisbon, join us at Museu da Água, June 27th for SOL Housing Demo Day.