Democratizing Data Science
Alephnet is a data science company founded in 2021 with locations in the USA and Europe.
We help companies secure their future with data-enabled products, services, and business models. We strongly believe in building ecosystems of insight and shaping a data-driven economy, one where every company can connect data to aspirational outcomes.
We are a team with a bold vision: making end-to-end data science accessible.
The Team Behind Alephnet
We bring a wealth of skills and experience from a wide range of backgrounds.
DOMINIK KALISCH, PHD
Dominik is a leading expert in the fields of advanced and big data analytics, as well as neural networks and artificial intelligence, combining scientific expertise with business acumen.
Andrea is an accomplished executive having built businesses with YOY growth in Europe and North America for industry-leading banks. A seasoned strategist, he is adept at harnessing the power of data and analytics connecting to business outcomes to improve top and bottom-line results.
LARS WEBER, PhD
Lars is a leading expert in system dynamic simulations and business games. His expertise lies in the interdisciplinary combination of general management/economics and information technology. He helps companies with change processes and management.
STANISLAV SOBOLEVSKY, PHD
Stanislav is a leading expert in the field of complex urban dynamics through its digital traces. His work interests lay at the crossroads of urban data science, network analysis, and machine learning.
KAVEH ABHARI, PHD
Kaveh is a leading expert in humane digital transformation, employee analytics and open digital innovation. His field of expertise lays in applied data science with a focus on innovation networks.
With more than 25 years of experience in IT, Stefan is an expert in cloud computing, data security, and data engineering. He set up compliant data lakes and high security digital infrastructures for DAX companies and major banks.
Let’s start your insight-driven future
Explore the opportunities with Alephnet, get to know use case examples, and discuss your step-by-step roadmap