Startup Connecty AI Corp. launched today with $1.8 million in funding and a platform that promises to help companies more easily analyze their data.

Market One Capital led the investment, which is described as a preseed round. The fund was joined by Notion Capital and multiple angel investors, including Snowflake Inc. co-founder Marcin Zukowski.

San Francisco-based Connecty AI is led by co-founders Aish Agarwal and Peter Wisniewski. Agarwal was previously chief executive of Image-Line, a major provider of music production software. Wisniewski is an engineering executive who worked on application projects for companies such as hedge fund Point72.

Before companies can scan their business data for useful patterns, they have to organize it into a form that lends itself to analysis. Connecty AI’s namesake platform uses artificial intelligence to speed up the task. Customers can also use it to query their data once it’s ready for processing.

According to Connecty AI, its platform retrieves records from an enterprise’s systems using prepackaged connectors that don’t require custom code to set up. The result is that those connectors take less than five minutes to deploy. They work with data sources such as Snowflake and Google LLC’s rival BigQuery service. 

After Connecty AI retrieves the data needed for an analytics project, it links together related records to ease processing. It then adds information on how the individual files changed over time. This context makes it to verify that no errors found their way into a record being used for analytics tasks. 

Filtering errors is not the only task involved in preparing a dataset for analysis. Companies must also prepare a schema, a file that defines what data points an information repository contains and how those data points are organized. Connecty AI says its platform can help data scientists improve their schemes to streamline analysis. 

The platform also makes it simpler to merge datasets. This task is sometimes made difficult by formatting differences between the individual files: one dataset might organize each record in a separate spreadsheet field, while another may include three entries per field. Such compatibility issues must to be addressed before the files can be merged. 

Connecty AI makes the data it processes available to users through a chatbot. Workers can ask the chatbot to run queries on the information, as well as visualize the results in graphs. A business analyst at a retailer could, for example, request a pie chart that breaks down last quarter’s revenue numbers by store.

Workers can also have the chatbot loop in colleagues. Connecty AI could, for example, ask a member of the data science teams to double check that a record is accurate before it’s incorporated into an analytics project. There are also features for sharing query results with team members. 

“The platform’s ability to unify and contextualize data across fragmented systems presents a massive opportunity for businesses looking to use LLMs for data workflow automation,” said Market One Capital Partner Jacek Lubinski. 

Connecty AI says that its platform has already been deployed by a number of early adopters. It describes those organizations as companies with $5 million to $2 billion in annual recurring revenue.

The company will use its newly disclosed funding round to expand its feature set. It will build more connectors to increase the number of data sources on which its platform can draw. Additionally, it’s working on an application programming interface that will allow customers to integrate its software with their own workloads. 

Image: Connecty AI