Provides consulting services for big data solutions. Offers training programs in data science and related fields. Now — the numbers.
The company is still in the product-building phase: its spending runs far above its sales. That only changes once the product starts selling at scale.
Before the clock runs out, either sales must climb sharply or new money must come in. This is the most critical line in the whole picture.
This company is not turning a profit, so the market is pricing its sales instead: 2.3× for every dollar of annual revenue.
No analyst target is on record for this company.
An investor who bought at the very peak is down 97% today. The business is the same; what changed most is the price — and the expectations — the market pins on it.
Over the last 2 years, sales grew about 46% a year on average.
Sales run at $51.1M a year. A small number, but proof the product has real buyers.
A loss of $64.1M against $51.1M in annual sales.
The stock sits at $0.30. Under exchange rules, stocks that stay below $1 for too long risk being removed from the market.
At the current pace of spending, the cash lasts about 1 year. After that, the company needs to find new money.
We don’t have a report card for this stock yet — the data isn’t mature enough to grade. No grade is information too: it means the evidence is thin.
One-line summary: few numbers, an untested story. Keep watching.
Not covered, because the filings we hold do not carry it: the growth trend, the revenue breakdown.