Spike Raises $700K to Help Digital Health App Harness Wearable Data
Summary
announced the closing of its $700,000 pre-seed round on Wednesday.Spike solves these three problems via a single, unified REST API and managed ETL solution, giving developers instant access to over 20 sensors with no upfront investment and 24 hours a day instead of 6 months. .The companys main customers at the moment are: Digital health, including professional fitness, wellness, weight management, nutrition, type 2 diabetes prevention, sleep improvement apps, womens health, longevity, telemedicine, autoimmune disease prevention, remote care, mental health apps, and corporate health app.For example, nNutrition/Diabetes App/Intermittent Fasting App.ap is needed for users to lose weight, prevent diabetic shock, and improve overall health and nutrition.Personalized services that leverage data from CGM sensors and smartwatches such as Garmin and Apple Watch, or Glucose level tracking combined with fitness and metabolic data.Fitness coaching apps, on the other hand, are interested in: As well as merging user data from smartwatches with data from Peloton, Strava and Spotify,olistic fitness coaching, motivation and entertainment features. We offer a B2B SaaS pricing model and can be up and running within the same week, so no upfront investment is required to leverage the Spike API. . Spikes pre-seed funding round was led by Geek Ventures, with participation from CEAS Investments and APX, as well as angel investors from Austin, Texas, New York and Silicon Valley.The company plans to use the funds for: As your customer base and average customer size grow, invest in your backend infrastructure to support massive concurrent workloads. In addition, we will hire data engineers to further develop our Manager-ETL solution, lowering the barriers to entry for small businesses and start-ups to integrate data from sensors directly into the cloud.Finally, resources will be devoted to further developing white-label AI analytics services, such as facial recognition for skin care and predictive/recommended AI tools for sleep and stress management.Ultimately, Gudzius said Spikes mission is to bring the benefits of cross-sensor data fusion to real-world problems such as public health.We want to lower the barriers to entry so that even small start-ups in health, automation, climate tech or other industries can easily profit from new data sources in this physical world. He hopes to help thousands of his B2B clients and enable millions of people to improve their health and lives through this new data.