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

                  How is AI impacting your industry?

                  And – do you have the data and internal team to help solve your challenge?

                  We're here to help get you where you need to be so you're successful.

                  How is AI impacting your industry?

                  And – do you have the data and internal team to help solve your challenge?

                  We're here to help get you where you need to be so you're successful.

                  When should you work with an external firm?  When it's too important to fail.

                  The internal + external team you assemble is critical – whether you go the packaged solution route or build customized solutions with a professional service provider. Data science is not "traditional" software programming: it requires very specific expertise and tuning to find the optimal solution. 

                  The Synaptiq approach:

                  We're your strategic thought partners, providing guidance and education to internal teams, and building solutions with long-term success in mind. As a first step, we frequently help clients establish a data strategy and governance, design data architecture, and collect data, prior to its preparation and training for models. Many clients have major data engineering challenges that need to be solved before doing any AI. We help prepare data, train and evaluate models, integrate models, and then deploy, monitor, and evaluate models – that ultimately become the solution itself.

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                  How this law firm worked with Synaptiq to uncover rich data, build a strategy, and develop the solution they needed.

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                  AI projects regularly fail because the data isn't right and the internal team is inexperienced. Key questions to ask.

                  Read the Blog Post

                  We are listening.