Zams

Obviously AI is a cutting-edge startup that simplifies the process of building and deploying custom AI models. The company operates in the technology sector, specifically focusing on artificial intelligence (AI) and machine learning (ML). Its primary clients are non-technical business users, such as business analysts, who need to make data-driven decisions without having extensive coding skills.

The core offering of Obviously AI is its low-code platform, which allows users to create and deploy AI models with minimal coding. This platform is designed to be user-friendly, enabling clients to build machine learning models in minutes. The company provides APIs (Application Programming Interfaces) that facilitate the automation of predictions and the integration of these predictions with various services like Zapier and Bubble. Additionally, users can create customized predictive analytics dashboards to visualize and interpret their data.

Obviously AI operates on a subscription-based business model. Clients pay for access to the platform, which includes tools for building, managing, and automating machine learning models and predictions. The company also offers consulting services through its in-house data science team, helping clients to optimize their use of the platform and achieve high accuracy in their predictive models.

The market for Obviously AI includes businesses of all sizes that need to leverage data for decision-making but lack the technical expertise to build complex AI models. This includes sectors like education technology (EdTech), where companies need to predict student success and improve feedback mechanisms, as well as other industries that require data merging, enrichment, and statistical analysis.

In summary, Obviously AI democratizes access to machine learning by providing a platform that is easy to use for non-technical business users. This empowers companies to make data-driven decisions quickly and efficiently.

Keywords: AI, machine learning, low-code, predictive analytics, automation, business intelligence, data science, APIs, non-technical users, subscription model.