Innolab is a Copenhagen based fin-tech company from 2015 utilizing artificial intelligence and deep learning to develop niche investment solutions and investment advisory tools.
Our vision is to deliver value for money to the investment advisory and investment management industry through:
Using machine learning technology reduces subjectivity and the risk of emotional bias, allowing us to develop structured, disciplined and repeatable investment processes.
We strongly believe that machine learning and artificial intelligence robots can improve long term investment decision-making and deliver better outcomes to investors. Thanks to their ability to process much more complex patterns modern machine learning algorithms outperform traditional linear regression.
Implementing artificial intelligence in the investment process can be complicated which is why Innolab focus on delivering value through:
We have combined AI engineers with experienced management from the investment industry giving us the right blend of AI and human intuition to get an edge in the market.
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.
Artificial intelligence-based investment strategies
Innolab’s asset management strategies are based on the philosophy that the products must be simple outside while understanding that it is complex inside.
All products have the following characteristics:
Innolab focuses the resources in the company on artificial intelligence and deep learning forecasting with a clear understanding of the market and client demands. The fund administration and portfolio administration are outsourced.
Previously the engineering team worked in the oil drilling sector for more than 10 years developing machine learning algorithms.
The board of directors and management has great work and IT experience combined with extensive business development skills as business owners.
The engineer’s high level of experience in machine learning combined with 40 years of management experience in the investment industry creates a sound balance in the company.
The day-to-day operations are handled by the CEO Peter Smedegaard and vice chairman and board member Henrik Bak.
Peter Smedegaard has substantial and longstanding knowledge of and experience with artificial intelligence and systematic investment strategies and Henrik Bak is responsible for i.a. business development, client management and investment product design input.
Founder – CEO
Partner and founder and experienced entrepreneur. Expert in IT development. Creative thinker, innovator and life-long student of disruption. Substantial and longstanding knowledge of and experience with artificial intelligence and systematic investment strategies.
Co-founder – AI lead dev.
Partner and co-founder with a M.Sc. in Applied Physics and Doctor of Philosophy (PhD). 12+ years of R&D experience developing machine learning models. Several patents taken. Strong focus on building robust models that has been deeply tested and will deliver in the long run.
Co-founder – Senior AI dev.
Partner and co-founder with a M.Sc. in Applied Mathematics. +12 years of R&D experience and a highly skilled programmer and expert data scientist and team player. Several patents taken.
Chariman of the Board – Investor
Experienced chairman of the board with a demonstrated history of working in many different industries. Owner of large engineering company for 40 years.
Vice Chairman – Partner
Close to 40 years of experience in the investments industry. Head of Clients and Institutional Business at Danske Bank/ Danske Capital from 2005 to 2017. Prior to that he held a number of management positions at Nordea Investment Management and Nordea Securities.
Board member – Investor
Board member and investor. Business developer, entrepreneur and investor with a technology and business focus on AI. Former co-owner of a large consultancy company.