Our AI Impact

 for the health of people



 Our AI Impact

 for the health of planet



 Our AI Impact

 for the health of business



“The work [with Synaptiq] is unprecedented in its scale and potential impact,” Mortenson Center’s Managing Director Laura MacDonald MacDonald said. “It ties together our center’s strengths in impact evaluation and sensor deployment to generate evidence that informs development tools, policy, and practice.” 
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    ⇲ Implement & Scale
    A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery. 
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      Thwart errors, relieve in-take form exhaustion, and build a more accurate data picture for patients in chronic pain? Those who prefer the natural albeit comprehensive path to health and wellness said: sign me up. 
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        Using a dynamic machine vision solution for detecting plaques in the carotid artery and providing care teams with rapid answers, saves lives with early disease detection and monitoring. 
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          This global law firm needed to be fast, adaptive, and provide unrivaled client service under pressure, intelligent automation did just that plus it made time for what matters most: meaningful human interactions. 
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            Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. 

            Start Chapter 1 Now ⇢ 


              How Should My Company Prioritize AIQ™ Capabilities?





                Start With Your AIQ Score

                  You know what's possible with your data + AI.

                  Next step is getting your team excited,
                  achieving buy-in, and securing budget.
                  It's go time.

                  You know what's possible with your data + AI.

                  Next step is getting your team excited,
                  achieving buy-in, and securing budget.
                  It's go time.
                  "We had incredible data but we were relatively new to artificial intelligence. Synaptiq showed us the risks of not doing anything and letting the competition pass us by." – Joe Ence, Vasolabs Inc. President 

                  A fast, simple Proof-of-Concept to look under the hood can show you what you can do.

                  The Synaptiq approach:

                  AI is not typical software development. It’s a science experiment. And experiments require open minds and creativity for innovation to happen.  Define scope and timeline carefully – so you have results that demonstrate value, build momentum, and substantiate further investment.

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                  A simple POC ultimately turned into a patient-ready solution that increases revenue and profitability for Vasolabs.

                  Read Case Study →

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                  Convincing skeptics and securing budget can be a big hurdle. Here's our recommended step-by-step approach.

                  Read Blog Post →

                  We are listening.