Basic Info

Alexandre Winter
Contributor Status:
Native AdVice
Initial Contribution Date:
Primary Location:
Brooklyn, NY, USA

Career Info

Primary Industry:
Information Platform / Services, Technology
Personal Career Headline:
CEO/Founder of Placemeter
Business Description (One-Liner):

Open urban intelligence platform that quantifies the movement of modern cities, at scale

Experience Timeline:
21-30 years of work experience

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Career Snapshot:

Before starting Placemeter, Alex was the Co-Founder and CEO of LTU Technologies. He has a PhD in Image Recognition from Telecom Paris, holds 7 patents in the field, and has over 20 years of computer vision expertise in applications ranging from satellite reconnaissance to augmented reality.

My Native AdVice

How did you get into the industry?:

I am an engineer and scientist by training, I was trapped in the tech industry from the beginning. I did try to become a professional musician, but that did not work out…

Emerging industry trends?:

The open data and quantified-self trend emerged 4-5 years ago, creating a real demand for data about the physical world: people, businesses, and local governments all expect dramatically more data about our brick and mortar world. We are filling that gap.

Inspiration for the business idea, and your vision for the Business?:

The future of humankind is in cities. Dense cities are the only way to accommodate the booming population of our planet while preserving nature as best as we can. The current urbanization trend is absolutely massive.

As a result, the limited space we have in our physical world needs to be optimized for us to thrive. Quantifying human activity in the world is an excellent way to get started, a necessary layer of data for that.

And video is the best sensor to achieve that goal. Cameras are ubiquitous, they blanket our world. Using computer vision algorithms, we detect and quantify pedestrian and vehicular traffic with these cameras. We measure human activity in cities, and transform cameras into a unique data layer that will one day tell you in real time what a place is like before you get there. We also use our data to give municipalities or retailers quantified information about how people use cities. Where they go, when, in how many numbers, how long they wait in line, etc…

The only way video sensors will work is if we protect personal privacy. Cities need data but it shouldn’t come at the expense of a resident’s peace of mind. That’s why we’re building our product with privacy built in from the ground up. We committed to some fairly simple principles like not identifying individuals and not recording any raw video. With the right sort of approach, we can build something that will be useful to individuals, businesses, and cities themselves.

What's next for the Business in the near future?:

Scaling Placemeter and making it global. We are making the experience easier and easier for consumers and businesses alike. Whether that’s releasing a better ways to measure traffic outside your home to improving the UX on our our site. Through our real-time algorithms, we want to make Placemeter’s platform and data accessible to as many people and businesses as possible.

Your key initiatives for the success of the Business? Greatest Accomplishment?:

Our investors are probably our most strategic partners as we just closed a Series A round. They help us build the ambitious, long term vision we have to make the physical world more measurable and more optimized. It is not easy to find long term, visionary investors like ours in this era of lean startup and copycat mobile apps. We are lucky to have found them.

Biggest success was to build up our technology and product fast enough, and well enough, so that just ten months after our seed round, we had achieved enough to raise the next round of financing and get the company to the next level.

Your most difficult moment at the Business? (and what did you learn?):

Most difficult moment was probably the first 6 weeks at Techstars, when we realized we had serious scaling issues with a previous iteration of our strategy. We knew we had to do something in the coming weeks, but we did not know what. We kept pushing hard, stayed true to our original vision, and finally found a way up. What I learned was two things. The first thing is something David Cohen taught us: no matter what happens, you need to stay true to your vision, to what made you quit your previous job, to the big idea that gets you so excited. A startup is about passion and ideals. With no passion or ideals, just stick to your 9:00-5:00 job. The other thing I learned is that resilience is the #1 quality you need to have as an entrepreneur. Never give up!

Career advice to those in your industry?:

Three important things:

Do not start a business by yourself, you absolutely need strong, complementary co-founders.

Do not downplay the importance of pitching and packaging your business.

Go see investors when you’re not raising money so you can build relationships.

What Else To Know

Tell Us More:

Favorite Placemeter view in the world:

The one looking at the flagship Muji store in Shinjuku, Tokyo.

Most frequented websites on browser:

Slack, assembla, pivotaltracker – when I’m not working, tabs and sheet music sites. But if you want me to be really honest, it is actually where I follow French soccer. Don’t tell anyone ?

Most interesting headline read this week:

More Evidence That Goats Are a Good Municipal Investment


Placemeter was created to give people the power of knowing what a place is like before they get there. We collect and serve up-to-the-minute information like how crowded a place is, how long the wait is, and whether it will get more or less crowded in the next hour. Just like people can check the weather outside and the traffic along the way, they can now look up what to expect when they get there.

Under the hood, Placemeter is building the world’s first real-time dynamic data layer. Used alongside static map databases, along with weather information, event calendars, and other information, we are able to provide very accurate information and future predictions.

Our data comes from a combination of our network of live video cameras and user reports from our mobile application. We use proprietary computer vision technology to calculate traffic levels from video feeds. With every new camera added to our system, we can provide more accurate information about more places.

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