
AI-driven personalization for e-commerce
platform that disrupted the world of business intelligence.















AI Widgets
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Visual Editor
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Theme Detection
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Popular Features
24 * 7 ROI & 14% Ai In Popular Features
Uplift in Conversion
Uplift in average revenue shopper
Savings of promotion spend
Suprior Speed Performance
Process
how It's Work
01
Define Your Product
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02
Analyse Fresh Compititor
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03
Maximize Profit
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Testimonial
What Are Customer Says
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Leslie Alexander
CEO & Co-Founder
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Wade Warren
Project Manager
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Jenny Wilson
Marketing Executive
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Robert Fox
System Engineer
our packages
Choose Your Pricing Plans
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Popular with Individual
$
00
/ Monthy
Free & Basic
- Feedback System
- Social integration
- Push Notifications
- Reveant App Content
- Log-in-via Social Media
Popular with Individual
$
35
/ Monthy
Advanced
- Feedback System
- Social integration
- Push Notifications
- Reveant App Content
- Log-in-via Social Media
Articles
Recent blogs
“We are excited about our collaboration with LookDeep to use AI to expand virtual safety, nursing and medical services to support our staff and improve patient care,” said Dr. Paul DePriest, Executive Vice President and Chief Operating Officer for Baptist Memorial Health Care.
Monitoring patient activity in the ICU is essential for sedation management, identifying agitation, and diagnosing delirium. Despite its importance in ICU care, activity monitoring is intermittent, subjective, and qualitative.
Inpatient video has massive potential as a new form of patient monitoring and as a new kind of medical data type. One obstacle to overcome to realize this potential is the fact that video generates massive amounts of data, way more than any human can interpret (much less clinicians who are pressed for time taking care of sick patients).
In this blog post, I review LookDeep Health’s IRB-approved collaboration with Oregon Health Sciences University (OHSU) on AI-enabled computer vision monitoring of trauma patients at-risk for delirium.
The use of video in the hospital creates a unique set of security challenges, and it is crucial that these challenges are met head-on to ensure the safety and privacy of patients and staff. As its usage grows, yesterday's security through anonymity is no longer an option.
How Computer Vision and AI can create help create a virtual guardian angel for nurses.
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