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Trial
One user
Dataset Creation
Public datasetsDatasets created are shared publicly and made available across the SensiMLuser community.
Physical sensorsPhysical sensors include a broad set of motion, vibration,
gesture, and all other sub-10kHz time-series sensors (examples:
loadcell, temp, strain gauge, pressure, gas sensors, position,
current, and voltage)
Audio sensorsAudio sensors includes a broad set of higher acoustic rate sensors
above 10kHz sample rate (examples: microphone, sonar,
piezo sensors, ultrasonic, acoustic emission sensors)
gesture, and all other sub-10kHz time-series sensors (examples:
loadcell, temp, strain gauge, pressure, gas sensors, position,
current, and voltage)
Audio sensorsAudio sensors includes a broad set of higher acoustic rate sensors
above 10kHz sample rate (examples: microphone, sonar,
piezo sensors, ultrasonic, acoustic emission sensors)
up to 100 MB datasets
up to 250 labelsA label is defined as a single data
segment / region labeled with ground
truth classification for supervised
ML model training.
segment / region labeled with ground
truth classification for supervised
ML model training.
Edge ML Code Gen
1 hr/mo AutoMLAvailable cloud compute time used
for generating ML Knowledge Packs
from supplied dataset and project
configuration parameters.
for generating ML Knowledge Packs
from supplied dataset and project
configuration parameters.
ML Knowledge Pack Output:
Demo BinaryDemo Knowledge Packs limited
to 1000 inference results per
embedded device power cycle
Demo C LibraryDemo Knowledge Packs limited
to 1000 inference results per
embedded device power cycle
Demo BinaryDemo Knowledge Packs limited
to 1000 inference results per
embedded device power cycle
Demo C LibraryDemo Knowledge Packs limited
to 1000 inference results per
embedded device power cycle
Support Options
Data Studio
One user
+$19/month per addt'l user
+$19/month per addt'l user
Dataset Creation
Private datasetsDatasets created are private and accessibleonly by registered account users you specify.
Physical sensorsPhysical sensors include a broad set of motion, vibration,
gesture, and all other sub-10kHz time-series sensors (examples:
loadcell, temp, strain gauge, pressure, gas sensors, position,
current, and voltage)
Audio sensorsAudio sensors includes a broad set of higher acoustic rate sensors
above 10kHz sample rate (examples: microphone, sonar,
piezo sensors, ultrasonic, acoustic emission sensors)
gesture, and all other sub-10kHz time-series sensors (examples:
loadcell, temp, strain gauge, pressure, gas sensors, position,
current, and voltage)
Audio sensorsAudio sensors includes a broad set of higher acoustic rate sensors
above 10kHz sample rate (examples: microphone, sonar,
piezo sensors, ultrasonic, acoustic emission sensors)
up to 10 GB datasets
Unlimited labelingA label is defined as a single data
segment / region labeled with ground
truth classification for supervised
ML model training.
segment / region labeled with ground
truth classification for supervised
ML model training.
Edge ML Code Gen
AutoML modeling
not included
not included
ML code generation
not included
not included
Support Options
Proto
One user
+$99/month per addt'l user
+$99/month per addt'l user
Dataset Creation
Private datasetsDatasets created are private and accessibleonly by registered account users you specify.
Physical sensorsPhysical sensors include a broad set of motion, vibration,
gesture, and all other sub-10kHz time-series sensors (examples:
loadcell, temp, strain gauge, pressure, gas sensors, position,
current, and voltage)
Audio sensorsAudio sensors includes a broad set of higher acoustic rate sensors
above 10kHz sample rate (examples: microphone, sonar,
piezo sensors, ultrasonic, acoustic emission sensors)
gesture, and all other sub-10kHz time-series sensors (examples:
loadcell, temp, strain gauge, pressure, gas sensors, position,
current, and voltage)
Audio sensorsAudio sensors includes a broad set of higher acoustic rate sensors
above 10kHz sample rate (examples: microphone, sonar,
piezo sensors, ultrasonic, acoustic emission sensors)
up to 10 GB datasets
Unlimited labelingA label is defined as a single data
segment / region labeled with ground
truth classification for supervised
ML model training.
segment / region labeled with ground
truth classification for supervised
ML model training.
Edge ML Code Gen
80 hrs/mo AutoML Available cloud compute time used
for generating ML Knowledge Packs
from supplied dataset and project
configuration parameters.
Addt’l hours optional
for generating ML Knowledge Packs
from supplied dataset and project
configuration parameters.
Addt’l hours optional
ML Knowledge Pack Output:
Binary
C Library
C Source optionalRisk-free Source Code Option: SensiML gives
users the flexibility to purchase source code
after model is tested and known to work as desired.
Binary
C Library
C Source optionalRisk-free Source Code Option: SensiML gives
users the flexibility to purchase source code
after model is tested and known to work as desired.
Support Options
Team
Five users
+$99/month per addt'l user
+$99/month per addt'l user
Dataset Creation
Private datasetsDatasets created are private and accessibleonly by registered account users you specify.
Physical sensorsPhysical sensors include a broad set of motion, vibration,
gesture, and all other sub-10kHz time-series sensors (examples:
loadcell, temp, strain gauge, pressure, gas sensors, position,
current, and voltage)
Audio sensorsAudio sensors includes a broad set of higher acoustic rate sensors
above 10kHz sample rate (examples: microphone, sonar,
piezo sensors, ultrasonic, acoustic emission sensors)
gesture, and all other sub-10kHz time-series sensors (examples:
loadcell, temp, strain gauge, pressure, gas sensors, position,
current, and voltage)
Audio sensorsAudio sensors includes a broad set of higher acoustic rate sensors
above 10kHz sample rate (examples: microphone, sonar,
piezo sensors, ultrasonic, acoustic emission sensors)
up to 100 GB datasets
Unlimited labelingA label is defined as a single data
segment / region labeled with ground
truth classification for supervised
ML model training.
segment / region labeled with ground
truth classification for supervised
ML model training.
Edge ML Code Gen
200 hrs/mo AutoMLAvailable cloud compute time used
for generating ML Knowledge Packs
from supplied dataset and project
configuration parameters.
Addt’l hours optional
for generating ML Knowledge Packs
from supplied dataset and project
configuration parameters.
Addt’l hours optional
ML Knowledge Pack Output:
Binary
C Library
C Source Code
Binary
C Library
C Source Code
Support Options
Concierge
Custom project team license
(Proto or Team)
(Proto or Team)
Dataset Creation
Private datasetsDatasets created are private and accessibleonly by registered account users you specify.
All included license features plus:
Upfront Project Planning
Integration support
for custom sensors / boards
for custom sensors / boards
Edge ML Code Gen
All included license features plus:
Our ML Experts build
the ML model for your dataset
and deliver ready-to-use code
for your target platform(s)
the ML model for your dataset
and deliver ready-to-use code
for your target platform(s)
Support Offered
Direct developer access
and project collaboration
and project collaboration
* Promotional 30% discount applies to first six months of a paid Data Studio annual plan subscription or up to six contiguous months of Data Studio month-to-month subscription.
Cannot be combined with other offers. Offer not valid on other subscription tiers. Other restrictions may apply.
Cannot be combined with other offers. Offer not valid on other subscription tiers. Other restrictions may apply.
Academic Licenses
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