Buzora started as a prototype that wanted nine exact column names and drew one line into the future. It became an engine that reads whatever a business already keeps, and says only what it can stand behind. Two co-founders are building it.
Co-CEO and Co-Founder
Ayush has a strong entrepreneurial drive and a desire to make a meaningful difference. Through Buzora, he’s turning his interest in building a business into a project focused on helping others solve real problems.
“Shaping the future requires a deep understanding of the present.”
Wonzoo
Co-CEO and Co-Founder
A robotics, machine learning, and computing engineer with a passion for creation and innovation through entrepreneurship. He brings curiosity and a creative approach to Buzora, exploring how technology can turn ambitious ideas into useful tools.
“It’s not about the result of innovation, but the process of creation.”
Buzora replaced an earlier prototype. Each line it left behind is a decision about what the product had to be.
Rejected any CSV missing nine exact column names
Takes any table, matches columns by meaning and uses whatever is there
Predicted a target from same-day drivers, which needs today’s numbers first
Genuine multi-day forecasting from what is known at the time
A random train and test split, leaking the future into training
A time-ordered holdout, graded against simple rules to show whether the model beats doing nothing
A single point prediction
A median and an 80% interval for every day
No control layer and no guidance
Five PID loops configured from your columns, and ranked recommendations with their confidence
No storage, no users
A multi-account data bank of datasets, models, clients and transactions
From Buzora: Full report, October 2026.
Nothing is required of a file. The importer works out what each column means by its role, not its spelling, and reshapes till logs, long exports and grids into one row per period.
Every accuracy figure is measured the way forecasts are actually served and graded against the best simple rule. Much of the engine exists because an earlier figure was flattering and somebody measured why.
Control loops recommend, emails are drafts until a person sends them, stock orders wait for confirmation, and every recommendation says it is a learned association, not proof of cause.
So far: thirteen dashboard pages and an assistant that asks the engine instead of guessing, nineteen automated test suites, seven interface languages, and a model that scored 89.39% on a real restaurant’s days it never saw.
Want to see it on your own records? Write to us and one of us will set up a demo on your own export: wonzoo@buzora.ai.
