Cloud & Stream Gears LLC
Held is read from USPTO's recorded assignments; a transfer never recorded there does not appear.
0
Ending by 2030
Dec 2035
Next term end
When these terms end
Held patents by the year their term ends
20262027202820292030203120322033203420352036203720382039204020412042204320442045
Fee deadlines
Maintenance fees fall due 3.5, 7.5 and 11.5 years after grant. A missed fee ends a patent at the end of the six month grace period that follows, not on the due date.
- 5 fees due Dec 4 to 11, 2026 · next Dec 4
- 1 fee due Jan 2, 2027The maintenance fee for Incremental skewness calculation for big data or streamed data using components (US 10,339,136) comes due Jan 2, 2027. Unpaid by Jul 2, 2027, it lapses early.
- 3 fees due Feb 20 to 27, 2027 · next Feb 20
- 1 fee due Apr 3, 2027The maintenance fee for Elimination of rounding error accumulation (US 11,775,258) comes due Apr 3, 2027. Unpaid by Oct 4, 2027, it lapses early.
- 1 fee due May 5, 2027The maintenance fee for Decremental simple linear regression coefficient calculation for big data or streamed data using components (US 10,467,326) comes due May 5, 2027. Unpaid by Nov 5, 2027, it lapses early.
Recent changes
Nothing was recorded against this company's patents in the last 90 days.
Patents held now
Soonest term end first. Each date below is computed on that patent's own page, which shows the rule, the adjustments and the fee history it was derived from.
| Patent | Title | Status | Expires | Confidence |
|---|---|---|---|---|
| US 10,310,910 | Iterative autocorrelation calculation for big data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 10,313,250 | Incremental autocorrelation calculation for streamed data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 10,313,249 | Incremental autocorrelation calculation for big data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 9,959,248 | Iterative simple linear regression coefficient calculation for big data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 9,928,215 | Iterative simple linear regression coefficient calculation for streamed data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 10,320,685 | Iterative autocorrelation calculation for streamed data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 9,760,539 | Incremental simple linear regression coefficient calculation for big data or streamed data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 10,659,369 | Decremental autocorrelation calculation for big data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 9,985,895 | Decremental autocorrelation calculation for streamed data using components In force · From the USPTO record | In force | From the USPTO record | |
| US 9,967,195 | Iterative autocorrelation function calculation for big data using components In force · From the USPTO record | In force | From the USPTO record |
Sources and methods
Compiled from the USPTO record, grants, published applications and recorded assignments, not yet reviewed by hand.
How this record was built
Computed patent terms end on the dates shown. Related patents and pending applications may cover overlapping subject matter.
Published applications
Every application published under this name has become a patent.