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.” 
Read the Case Study ⇢ 


    ⇲ 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. 
    Read the Case Study ⇢ 


      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. 
      Read the Case Study ⇢ 


        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. 
        Read the Case Study ⇢ 


          man-wong-aSERflF331A-unsplash (1)-1
          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. 
          Read the Case Study ⇢ 



            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

                  AI IMPACT

                  For the Health of Planet

                  AI has the potential to both exacerbate our environmental challenges and offer solutions to the world's most pressing issues. 

                  Free Download

                  Case Study: Computer Vision Software Predicts Wildfires Before They Happen.

                  Helping a startup mitigate wildfire risk with custom computer vision software and atmospheric balloons; we couldn't get much higher.


                  Download ⇢

                  AI's multifaceted impact on the planet raises fundamental questions about the delicate balance between technology and nature, urging us all to reflect on our role as stewards of the environment and implications of our technological pursuits of the future of our planet.

                  Climate Change

                  As we face the daunting task of mitigating and adapting to climate change, AI solutions provide us with powerful tools to both understand and address the complex challenges we face. By harnessing the power of machine learning and other AI technologies, we can optimize our responses and maximize our chances of creating a more sustainable and resilient future.


                  For Mitigation

                  Smart Grids

                  AI algorithms can be used to optimize the distribution of electricity across a smart grid, which can reduce energy waste and increase the efficiency of the grid. This can help reduce greenhouse gas emissions from power plants and other sources.

                  Autonomous electric vehicles

                  AI-powered autonomous electric vehicles can help reduce carbon emissions from transportation, especially in urban areas where traffic congestion is high.

                  Green building design

                  AI can be used to optimize the design of green buildings, which can help reduce their carbon footprint and increase energy efficiency.


                  For Adaptation

                  Early warning systems

                  AI algorithms can be used to predict extreme weather events, such as hurricanes, floods, and droughts, which can help communities prepare for and respond to these events.

                  Flood prediction and management

                  Predictive analytics solutions can be used to analyze data on river levels, weather patterns, and other factors to predict and manage floods in vulnerable areas.

                  Climate-resilient agriculture

                  Farmers can adapt to climate change by applying predictive weather pattern models and machine learning models that optimize crop yields based on soil moisture levels and other environmental factors.

                  Natural disaster response

                  AI-powered drones and other technologies can be used to aid in natural disaster response efforts, such as search and rescue missions, damage assessments, and delivery of supplies.

                  PRODUCT SPOTLIGHT

                  An angler app that assesses the quality of a watershed to learn the best flies to use, while simultaneously maintaining the delicate balance of it's ecosystem.

                  Discover the Synaptiq product whose mission is to count and classify aquatic insects; critical players in the ecosystems and food webs within surrounding freshwater whose diversity is indicative of water quality and the perfect fly for catch & release.

                  Learn more

                  Resource Management

                  AI solutions for resource management can improve the health of the planet by providing insights into resource usage patterns, predicting future resource demands, and providing recommendations for more efficient resource usage. They can help reduce waste, conserve resources, and promote sustainability. This planet is not just a resource for our use and consumption, but also home to millions of other species that share it with us.


                  For Optimizing

                  Energy Management

                  AI can be used to optimize energy consumption and reduce carbon emissions. AI algorithms can analyze energy usage patterns and provide recommendations for more efficient energy consumption. AI can also be used to predict energy demand, allowing energy providers to adjust production to match demand and avoid overproduction.

                  Waste Management

                  AI can be used to improve waste management by optimizing waste collection routes, identifying recycling opportunities, and reducing landfill waste. AI algorithms can analyze waste data to identify patterns and develop strategies for waste reduction and recycling.

                  Water Management

                  AI can be used to optimize water consumption and reduce water waste. AI algorithms can analyze water usage patterns and provide recommendations for more efficient water usage. AI can also be used to predict water demand, allowing water providers to adjust supply to match demand and avoid water shortages.

                  Agriculture Management

                  AI can be used to optimize crop yields and reduce water and fertilizer usage. AI algorithms can analyze soil data, weather patterns, and crop performance to provide recommendations for more efficient crop management. AI can also be used to predict crop yields, allowing farmers to adjust production and reduce food waste.

                  Forest Management

                  AI can be used to improve forest management by identifying areas at risk of deforestation and predicting forest fires. AI algorithms can analyze satellite data to identify changes in forest cover and provide recommendations for forest conservation. AI can also be used to predict forest fires, allowing firefighters to respond more quickly and reduce the damage caused by wildfires.


                  For Sustainability

                  Environmental Monitoring

                  AI can be used for environmental monitoring by analyzing data from sensors, satellites, and other sources to detect changes in the environment, such as deforestation, air pollution, or water contamination. This data can be used to identify areas of concern and prioritize conservation efforts.

                  Natural Resource Management

                  AI can be used for natural resource management by analyzing data on natural resource usage, such as water or energy consumption, and providing recommendations for more efficient usage. AI can also be used to predict resource demand and adjust production accordingly, reducing waste and conserving resources.

                  Climate Modeling

                  AI can be used for climate modeling by analyzing large amounts of data on weather patterns, atmospheric conditions, and other factors that affect climate. This data can be used to develop more accurate climate models and predict the impacts of climate change on the environment and human populations.

                  Wildlife Conservation

                  AI can be used for wildlife conservation by analyzing data on animal behavior, habitat use, and population dynamics. This data can be used to develop strategies for wildlife conservation and management, such as identifying areas for protected areas or tracking the movements of endangered species.

                  7 min read

                  Whisking Words: Unlock the Power of LLMs for Your Business

                  In the past year Generative AI, in the form of Large Language Models (LLMs), has emerged as a revolutionary technology for many industries and business functions. These powerful AI models, like OpenAI's GPT-4, are...

                  5 min read

                  Guardians of the (Freshwater) Galaxy: Exploring Aquatic Insect Classification

                  A few months ago, I introduced an idea that I was excited to explore surrounding macroinvertebrates, stemming from my passions for fly fishing, aquatic entomology, and water quality. Aquatic insects play vital...

                  RAISE YOUR AIQ

                  Build AI Solutions for the Health of Planet

                  Many organizations need transformation or intelligent product support and we can help uncover if your good work impacts the planet too. Start with understanding where you are, and together, we can work on successful outcomes.

                  Take Your First AIQ Test Now