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

                  3 min read

                  The G7 AI Governance Code: What It Means for Business

                  Featured Image

                  On October 30, 2023, the Group of Seven (G7) leaders released a joint statement announcing their consensus on a set of guiding principles and a voluntary code of conduct for developers of advanced artificial intelligence (AI) systems. This landmark decision was an outcome of the Hiroshima AI process, which was initiated during the G7 Summit in May 2023 with the objective of fostering global standards for advanced AI technologies.


                  Quick Facts

                  The G7 member nations — Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States — represent about half of the global net wealth, according to a 2021 report from global investment bank Credit Suisse. Their substantial economic influence gives weight to the 11-point G7 AI governance code:

                  1. Take appropriate measures to identify, evaluate, and mitigate risks.
                  2. Monitor AI systems post-deployment for misuse and vulnerabilities.
                  3. Publicly report advanced AI systems’ capabilities, limitations, and domains.
                  4. Work towards responsible information sharing and reporting.
                  5. Develop, implement, and disclose AI governance and risk management policies.
                  6. Invest in and implement robust security controls.
                  7. Develop and deploy reliable content authentication and provenance mechanisms.
                  8. Prioritize research and investment in risk mitigation.
                  9. Prioritize the development of advanced AI systems to address the global challenges.
                  10. Advance the development and adoption of international technical standards
                  11. Implement appropriate protections for personal data and intellectual property.

                  The G7 statement was published the same day as U.S. President Biden’s executive order on “safe, secure, and trustworthy artificial intelligence.” The coordinated action by some of the world's largest economies suggests an intergovernmental effort to formalize AI governance as recent, high-profile advancements in generative AI have spurred calls for regulatory oversight from policy-makers, AI developers, and public interest groups worldwide.

                  For commercial stakeholders, the G7 statement is a call to action. The 11-point framework provides a strategic roadmap for AI-driven enterprises to prepare for a future where accountability, transparency, and caution are market expectations and regulatory requirements. Businesses that take steps to align with this framework will do more than just safeguard against forthcoming regulatory changes; they will position themselves as leaders in a global market that increasingly demands safety, security, and trustworthiness from AI systems.



                  About Synaptiq

                  Synaptiq is an AI and data science consultancy based in Portland, Oregon. We collaborate with our clients to develop human-centered products and solutions. We uphold a strong commitment to ethics and innovation. 

                  Contact us if you have a problem to solve, a process to refine, or a question to ask.

                  You can learn more about our story through our past projects, blog, or podcast

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