Our patented technology combines proprietary Deep Learning and advanced Computer Vision AI methods, to recognize devices and their parts and associate them with common issues and resolutions.
Device Onboarding
Automated Guidance
We collect and tag visual data of a new device from various sources while minimizing the required volume.
We create models to recognize the specific device and its status using Deep Learning and advanced Computer Vision techniques.
We integrate recognition capabilities within self-service channels, contact centers or field services platforms.
Videos and images are captured by the user (customer, agent or technician)
The system recognizes the device type and its issue to provide a resolution from the knowledge base.
The system guides the user with real-time feedback until it verifies that the issue has been resolved.
Our models are created and trained to
analyze electronic products, based on
your data, to allow the recognition of
specific device models and issues to the
highest level of accuracy.
We combine proprietary Deep
Learning and Computer Vision
algorithms to achieve maximal
robustness, speed and
accuracy.
Data is collected through
crowdsourcing of expertise,
from synthetic image
generation or other any
visual data sets.
Training a new device takes a
matter of hours with ‘few-shot
learning’ methods, reducing the
number of required images from
tens of thousands to just several.
Using APIs, our recognition capabilities
can be implemented over the web (with
no app download), via native app or
integrated into other self-service tools,
for real-time or offline image processing.
We train our modules to recognize
your exact devices and their specific
symptoms, enabling automatic
resolution retrieval from your
organization’s knowledge base.
We provide a customer-facing
virtual assistant solution which can
interact with users using voice and
text commands and provide real-
time feedback.
Unique visual data
anonymization mechanism to
ensure maximal privacy.
