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Continuous-data + Neural Networks...
Our Products Deliver Magic.

Open architecture neural-net machine-learning for leap-frog product development.

Deep Learning Products That Change Lives.

When will devices spend more time thinking about us, than we do about them? Here at Ai2 we're focused on ways to close the gap. We develop deep-learning-based algorithms that recognize activity and context. From these algorithms, we can derive actionable insight for devices to better understand human needs.

Proven Algorithms

Tested and proven algorithms which can be deployed and integrated saving companies months of development.

Open Architecture

Open architecture allows for any third party devices to be added enabling for a single reaction from multiple, independent data flows.

Multiple Data Sets

We enable multiple data sets to be processed for a single outcome and offer predictability to that outcome.

Discover CareMate, our continuous-data RPM (Remote Patient Monitoring) device.

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Why Ai2?

Ai2 is a developer of proven, tested, open algorithms allowing third party devices to be added, allowing for a single reaction from multiple, independent data flows. Our AI products can be used in multiple industries. For companies needing real-time analytics and lacking the capability to build their own neural-net algorithms we can deploy and integrate our algorithms through licensing agreements saving companies months of development.

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Machine Learning Meets Sensor Fusion

Recent advances in deep neural network (DNN) algorithms are providing unprecedented capability to resolve activities from fused motion and sensor data.  When taken from data across large populations, these DNNs are especially powerful and allow for subtle distinctions between activities, posture and vitals with high accuracy and low-computational cost.

Sensing the World

There are a vast number of human-centric sensors being used today. Thanks to advances from the Mobile phone industry, low-cost, high-volume sensors can measure motion, rotation, particulates, light, pressure, humidity, sound and location — to name a few.  With their small size, these allow a broad range of solutions for identification of human activity.

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Human Activity Recognition

A set of algorithmic techniques that takes fused sensor data from motion and other sensors and identifies activity.  The range of activities is broad and varied.  From identifying activities in the elderly, to maximizing athletic performance, to optimizing factory efficiency.

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What Clients Say

From a Concierge care physician:

“We may not have lost a patient if we had CareMate 3 weeks ago” (Referencing a patient that fell and didn’t get immediate care.)

From a family member of a wearer in an Assisted Living Faciliy:

“Last Tuesday night as I was about ready to go to bed, I took a look at my Dad’s monitor. It showed that while he had gone to bed around 7:30 PM he had been up from 9:15 to 10:30 PM. So I got dressed and drove over to his apartment to check on him. When I arrived he was fully dressed and sitting in the living room. He was confused and thought it was early in the morning. He said he was waiting to go out with some of the other residents to the weekly breakfast that he had signed up for. I subsequently helped him back to bed.”