Our approach

What we believe in.

Investment beliefs

Innolab believe that market prices are not random and there are persistent sources of alpha in markets that can be identified and harvested systematically.

To capture these inefficiencies, we use artificial intelligence and deep learning to create proprietary systematic investment engines. 

While far from high-frequency, Innolab is sampling data, adjusting signals and return forecasts continuously, 24 hours a day for most asset classes in the world.

All research and models are deployed in a highly resilient, scalable, zero-downtime environment in the cloud.

AI Investment Platform (AIIP)
Deep learning

Deep Learning can extract information from the markets that humans can’t.

Inefficiencies

Inefficiencies exist across asset classes that can be exploited.

Improvement

Constant And Never-ending Improvement (CANI) is of great importance.

Evidence

Making decisions based on evidence is far more reliable than ones based on instinct, assumptions or human emotions which can be biased.

Curiosity

Intellectual curiosity is a key ingredient for thinking differently and solving problems creatively.

Engineers

Engineering experience can be used in financial applications with great success.

Deep learning seeks to uncover tendencies in historical data more efficiently than could be done by humans. These techniques can uncover robust and statistically significant patterns that would have been entirely impossible for a human being to uncover.

Peter Smedegaard
CEO AND FOUNDER
ABOUT US

Who we are

About us