:snips
BIG DATA INNOVATION

VISION

Sometimes, a seemingly simple problem...

can actually hide a complex structure...

which, when looked at the right way, will unlock it's inner beauty

We believe the world is not random. We believe there are patterns to be discovered and used to improve everything about our daily lives. We believe big data is the key.

We created :snips, a big data innovation firm specialized in predictive modeling for smart cities, urban infrastructures and criminology. We thrive in finding solutions that can positively impact society.

We work with large corporations and governments to turn their existing data into useful products. Our technology can be used for any purpose, and find patterns in terabytes of data.

PROCESS

1. Augmenting

Clients give us access to their datasets, which are then augmented with data from hundreds of other sources.

2. Mining

We analyze the data, and list models and products that can be created using our proprietary technology.

3. Prototyping

The client decides which products and models to develop. Prototypes are built and beta-tested.

4. Scaling

Validated prototypes are turned into usable products. Code is refactored and made enterprise scale.

5. Refining

Models and products are monitored and improved iteratively using the new real-world data.

SELECTED PROJECTS

Predicting Street Parking Availability

without sensors or user interaction

Client

Mission

Turn parking meter data into a useful product. The full dataset is around 1TB.

Data

Parking tickets, city graph, points of interest, parking lines, weather.

Product

A mobile app displaying a real-time prediction of street-parking availability.

Predicting passenger load

on Paris region public transports (transilien)

Client

Mission

Predict in real-time how full the trains will be and how the load will be distributed.

Data

Origin-destination surveys, macro-economical data, points of interests, demographic data.

Product

A mobile app displaying a real-time prediction of passenger load in the next trains.

R&D TEAM

Dr. Rand Hindi is a bioinformatician, entrepreneur and algorithm architect. He started coding at age 10, created his first startup at 14, did his PhD in bioinformatics at 21 (University College London) and is a Singularity University & THNK alumni. His passion lies in using data to solve societal problems, particularly those related to cities and healthcare.

Dr. Alexandre Vallette is a physicist, mathematical modeler and expert in graph theory. He holds a PhD in physics from Ecole Normale Superieure in Paris. He has developed numerous models in areas such as mechanical structures, thermic & mechanical coupling, medical hardware and smart cities. He is particularly interested in models to improve the creation process in a research team.

Dr. Maël Primet has a PhD in mathematics and computer vision from the Ecole Normale Superieure in Paris. He specializes in statistics, machine learning, scalable algorithms & optimization. He since long has a passion for clever algorithms & elegant user interaction design.

Contact us

Send us an email at contact@snips.net & follow us on Twitter