No-Code, NLP Machine Learning Platform Launches

Predictive analytics company Obviously AI this week launched a solution it is describing as the first no-code, natural language machine learning (ML) platform.

The company's namesake product was designed "to put the power of machine learning and analytics in the hands of non-technical business users," the company said.

The Berkeley, Calif.-based company's solution was designed to enable non-technical users to access information and data predictions by asking questions in natural language. It employs natural language processing (NLP) to "break apart" a user's question, interpret it, and find the right data. It then runs hundreds of machine learning algorithms in parallel and evaluates each one for accuracy to find the right algorithm for the dataset. It then identifies top attributes that impact the outcome the user is trying to predict, and delivers its results in under a minute.

"We realized that business users truly cared about getting decision-making insights about their customers, products and its usage," said Nirman Dave, co-founder and CEO of Obviously AI. "This has often meant writing frustrating SQL queries and waiting on web engineers who would try to figure out machine learning algorithms… It's amazing what marketers, salespeople and other non-technical business users can learn when they use our platform."

Obviously AI's no-code tool allows users to upload their datasets from CSV, databases, or CRMs to summon a Google-like search bar in which to ask a question in natural language. For predictive questions, such as "Which customers are likely to cancel their subscriptions?" the platform will understand what the user is asking, find the right data, and build a machine learning algorithm on the fly, the company said. It also shows users what factors drove the results. The platform was also designed to answer analytical questions that look for existing patterns in data, such as "What is the average daily foot traffic for my retail stores?" Users do not need any familiarity with writing SQL queries or working with programming languages to code regressions, neural networks, and other ML algorithms, the company said.

The company is promoting the platform for small and medium sized businesses or small departments of larger companies that don't have their own data science team.

Obviously AI was founded on the belief that business users should be able to get insights from their data, without waiting on an engineer. Our mission is to make data science effortless by enabling anyone to run complex data predictions and analytics, simply by asking questions in natural language with no code, no hassle and no waiting. It is the only platform to use simple Natural Language questions for data prediction, delivering predictions and analytics in less than a minute. For more information, visit

About the Author

John K. Waters is the editor in chief of a number of sites, with a focus on high-end development, AI and future tech. He's been writing about cutting-edge technologies and culture of Silicon Valley for more than two decades, and he's written more than a dozen books. He also co-scripted the documentary film Silicon Valley: A 100 Year Renaissance, which aired on PBS.  He can be reached at