INNATERA.COM: Keyword Density Checker

Total words: 954 | 2-word phrases: 251 | 3-word phrases: 264 | 4-word phrases: 270

PAGE INFO

Title	Try to keep the title under 60 characters (60 characters) Ultra low power intelligence for the sensor edge. \| Innatera
Description	Try to keep the meta description between 50 - 160 characters (110 characters) Our processors help sensors recognise patterns with more energy efficiency, lower latency and greater privacy.
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	No H1 tag on the page (0 characters)

#	Keyword	Frequency	Density
1	about us news	3	1.14%
2	us news careers	3	1.14%
3	news careers innovation	3	1.14%
4	careers innovation resources	3	1.14%
5	of spiking neural	2	0.76%
6	processor t1 talamo	2	0.76%
7	capabilities of spiking	2	0.76%
8	neural networks in	2	0.76%
9	products about us	2	0.76%
10	spiking neural networks	2	0.76%
11	t1 talamo sdk	2	0.76%
12	spiking neural processor	2	0.76%
13	innovation resources contact	2	0.76%
14	relationships between these	1	0.38%
15	between these events	1	0.38%
16	timing relationships between	1	0.38%
17	these events leveraging	1	0.38%
18	temporal correlations between	1	0.38%
19	correlations between events	1	0.38%
20	between events to	1	0.38%
21	the timing relationships	1	0.38%
22	events to identify	1	0.38%
23	to identify patterns	1	0.38%
24	innatera products about	1	0.38%
25	capabilities is the	1	0.38%
26	identify patterns key	1	0.38%
27	patterns key to	1	0.38%
28	key to these	1	0.38%
29	models work by	1	0.38%
30	is the inherent	1	0.38%

#	Keyword	Frequency	Density
1	about us news careers	3	1.11%
2	us news careers innovation	3	1.11%
3	news careers innovation resources	3	1.11%
4	careers innovation resources contact	2	0.74%
5	of spiking neural networks	2	0.74%
6	products about us news	2	0.74%
7	processor t1 talamo sdk	2	0.74%
8	innatera products about us	1	0.37%
9	snn models work by	1	0.37%
10	timing relationships between these	1	0.37%
11	the timing relationships between	1	0.37%
12	manipulating the timing relationships	1	0.37%
13	precisely timed events snn	1	0.37%
14	events snn models work	1	0.37%
15	timed events snn models	1	0.37%
16	simple precisely timed events	1	0.37%
17	using simple precisely timed	1	0.37%
18	relationships between these events	1	0.37%
19	correlations between events to	1	0.37%
20	between these events leveraging	1	0.37%
21	temporal correlations between events	1	0.37%
22	is represented using simple	1	0.37%
23	between events to identify	1	0.37%
24	events to identify patterns	1	0.37%
25	to identify patterns key	1	0.37%
26	identify patterns key to	1	0.37%
27	patterns key to these	1	0.37%
28	capabilities is the inherent	1	0.37%
29	is the inherent notion	1	0.37%
30	the inherent notion of	1	0.37%
31	inherent notion of time	1	0.37%
32	represented using simple precisely	1	0.37%
33	are eventbased neural networks	1	0.37%
34	networks in which information	1	0.37%
35	powerful processing capabilities of	1	0.37%
36	for powerlimited and latencycritical	1	0.37%
37	applications leverage the power	1	0.37%
38	leverage the power of	1	0.37%
39	the power of spiking	1	0.37%
40	power of spiking neural	1	0.37%

#	URL	Whois	Check
1	https://www.linkedin.com/company/innatera	Whois	linkedin.com