We are explorers

Sybilla Technologies is a company dedicated to providing industry standards' based IT solutions for scientific research and development that can also be applied in the general public domain

Skills and Experience

Services we provide

We focus on the fields of observational astronomy, astrophysics and psychology,
and utilize the contemporary approach, modern software architecture,
and techniques to address the requirements and optimize the results

Other services

Building on top of our expertise we constantly explore new territories to address new problems. Because it's interesting.

Autonomous observatories

Autonomy is measured on a sliding scale from the direct human operation at the low end to what is known as „adaptive” at the high end


Direct operation

Direct human operation or remote operation is having someone behind a computer control all the observatory’s operations from the control room which is a few meters or a thousands of kilometres away


Assisted operation

Human-assisted is when the observer is responsible for the start and end procedures (calibration, cooling instruments, opening the dome and so on), but can let the equipment observe itself while during the night in normal conditions


Human delegation

In human delegation, the observer just has to instruct the observatory to start and finish observations and give it observing plan to execute



In human-supervised, the operator is no longer really an observer, but just monitors what information observatory sends back. Mitigation of minor errors requires human assistance. Major problems require expertise and qualified personnel



In mixed-initiative, the human might give a robotic observatory an observing plan to complete or even loosely told to be „independent” in choosing targets from predefined list and only report back when it finishes. System can mitigate minor failures on itself and major failures by notifying the operator about the problem and potential options that can be executed to recover.



In fully autonomous mode, the system decides on its own what to observe and how to do it. It also mitigates more serious faults like hard drive failure or inconsistent sensor data.



Finally, an observatory is adaptive when it can learn. It can update or change what it should search out, even evolving to gather information in new ways. It can reconfigure its observing configuration and schemas to optimise the data quality and rate.

Our clients