A truly 21st century informatics tool that the end user "develops"

In a nutshell: what is it? Placebo was conceived and developed in 2024 by industry experts who became convinced that, in order to optimize delivery and time-to-market in the context of research work, it had become necessary to rethink and repurpose the way the data platforms that support them work.

Bottom Line: Limitless Customization Unlike other industry verticals where the need for customization merely rises to the surface from time to time, by its very nature, research work entails constant and continuous exploration. Data platforms designed in a way that technical support must be engaged for even the minutest changes simply don't suffice. Placebo affords the end user limitless customization without recourse to technical resources.

Our "viral" validation concept. Frankly, the only way to truly validate anything... Placebo approaches data modeling in a completely different way: users advance their own logic using "crowd-sourced" building blocks that have no special bearing to the logic being built. Therefore what needs to be reviewed is the consistency of the logic the user applied in making selections, not the code. The code does not exist in the consciousness of Quality Control teams. Our viral validation approach is a radical departure from common scenarios where nobody knows what is under the hood of the stack.

AI without hallucination Placebo makes it possible to export base functional analysis of what you have done into plain text and then place the output in a folder where just about any LLM can consume it. The result: Your domesticated LLM would replicate that procedure any time upon request. The advantage of this cannot be overstated when it comes to system integration, parsers etc, where the desire is to take advantage of AI in a safe way with zero possibility of errors.