• Despite the digitalization of the 21^st century, scientists are forced to use the Text-based User Interface (TUI) as they did in the 1980s. Using the TUI increases the task execution time more than twice compared to using the Graphical User Interface (GUI)¹.
• Scientists are forced to use a lot of freestanding and disintegrated software components. Since that they should convert incompatible formats manually and in fact integrate these components by themselves.
• Often context switching disrupts a scientists’ workflow and lowers their productivity.

Almost 40% of scientist’s workday is wasted.
About €25000 per year per scientist is wasted for non-profitable routines².

• To reproduce an experiment it is required to have completely identical computation pipeline. When scientists use many components it is hard work to match versions and settings in these chains.
• If any proprietary component is used in the core of a pipeline it renders as additional costs for reproducers. Such pipelines can be reproduced only by scientist with the same proprietary software.
• Due to lack of versioning it is almost impossible to guarantee that a pipeline has exactly the same settings between experiments.

Reproducibility — the core principle of scientific knowledge.
About 47% of scientific articles in biomedical researches are not verifiable due to irreproducibility¹.

1. Top-tier chemical software costs (€15,000 to €50,000 per year per license) are unaffordable for small and medium research groups^1,2.
2. The market is primarily oriented to big-pharma and does not respond to other chemists needs.
3. While using such expensive software, non-pharmaceutical research groups also pay for the irrelevant features for they work.
4. Underfunded research groups are forced to use open source solutions, which are free but require much more advanced programming and configuration skills, slowing down the science.

Small and medium scientific groups are in the “market shadow”.
While big pharma has sport-cars, they are still pedestrians.