FROM PREDICTIONS TO DECISIONS
The value of data and predictions materialise when they are used to make
better decisions. Our goal at claytech is to provide the best possible
data-driven decision-support software. That means breaking free from
static predictions in dashboards and giving users the flexibility to
simulate whatever scenario they need to reach their best decision - day
after day.
HOW DOES IT WORK?
Claytech offers a declarative query language to specify what information
to compute. By combining data and business logic, the claytech software
platform then automatically generates predictive pipelines that compute
the required forecasts, simulated scenarios, suggestions or warnings. As
needed, claytech uses techniques from machine learning, operations
research and probabilistic reasoning to provide the best possible
information. Applications are built on top of the claytech platform and
bring it to life by connecting it to specific data sources and encoding
relevant business logic.
CASH FLOW MANAGEMENT
For CFOs it is crucial to have a good overview of what their future cash
flow will look like in order to mitigate potential problems before they
occur. One way claytech helps CFOs is by simulating scenarios, for
example, forecasting cashflow given that an important sales person will
be absent and a major client will have payment delays. Another way
claytech provides value is by offering suggestions, for example, about
how much a company can safely reduce inventory. To provide these
services, the claytech platform integrates different sources of
information (customer payments, sales, costs, inventory levels, supplier
payments).
ENERGY OPTIMIZATION
With organizations facing rising energy costs, facility managers are
tasked with lowering the energy costs of the buildings they manage. This
requires identifying potential energy consumption problems and
introducing new energy saving measures. Claytech helps facility managers
find causes of excessive energy consumption by, for example, warning
them when a heating system does not turn off for the night or a building
is badly configured. Additionally, claytech helps facility managers
explore ways to reduce future energy costs by simulating the impact of
candidate energy saving measures.
WHO ARE WE
Claytech is a KU Leuven spin-off company founded by two AI researchers: Samuel Kolb en Vincent Vercruyssen.
Backed by a team of scientific advisors, claytech combines cutting-edge research from different domains:
automated machine learning, time series forecasting, mathematical optimization and probabilistic reasoning.
We are passionate about building the best data-driven decision support software
and turning research results into best-of-class products that deliver real value.
