Euler Center is a measurement and evaluation lab. We work on a single question with several faces: what should be measured when work is done by people composing machines, and what instruments would measure it honestly.
We publish methods openly, build instruments, and run applied engagements that generate the evidence the published work rests on. We do not sell certifications.
A five-axis diagnostic for knowledge assets. Developed by the lab and implemented as a working instrument on the cubelet.ai platform, which is the pattern we intend to repeat: method published here, implementation built by others.
The description language the lab's current research programme is built on.
Aggregate findings from completed canvases collected in teaching cohorts and applied engagements. Individual descriptions remain the property of the organizations that made them.
The two share ownership, and we would rather state that plainly than have a reader find it.
Euler Center holds the methods and the research. GRID42 builds and distributes platform implementations of them, including cubelet.ai. The two share ownership, and we would rather state that plainly than have a reader find it.
The arrangement is workable because of what the lab does not do. Euler Center holds no partnership with any certification body, and does not sell preparation for credentials it might later assess. Anything of that kind sits with GRID42. Our methods are licensed CC BY so that anyone can implement them, and a second independent implementation of any Euler method is an outcome we would welcome rather than resist.
Founded and led by Sravan Ankaraju, who has spent twelve years in workforce development, training measurement, and evaluation, and has run testing and training operations through several generations of technology change.
