Highlights:

  • Connecty AI claims that its platform extracts records from an enterprise’s systems using pre-built connectors that require no custom code for setup.
  • Connecty AI provides processed data through a chatbot, allowing users to run queries and visualize results in graphs.

Recently, a new startup, Connecty AI Corp., raised USD 1.8 million in funding and a platform designed to simplify data analysis for companies.

Market One Capital led the investment in what is being referred to as a pre-seed round. The fund was supported by Notion Capital and several angel investors, including Marcin Zukowski, co-founder of Snowflake Inc.

Connecty AI, a San Francisco-based company, was founded by Aish Agarwal and Peter Wisniewski. Agarwal was formerly the CEO of Image-Line, a leading music production software provider, while Wisniewski is an engineering executive with experience working on application projects for companies like hedge fund Point72.

Before companies can analyze their business data for valuable insights, they must first organize it into a format suitable for analysis. Connecty AI’s platform leverages artificial intelligence to accelerate this process. After the data is prepared, customers can also use the platform to query and analyze it.

Connecty AI states that its platform retrieves records from an enterprise’s systems through pre-built connectors that require no custom code for setup. This allows the connectors to be deployed in under five minutes. They are compatible with data sources like Snowflake and Google LLC’s BigQuery service.

Once Connecty AI retrieves the data for an analytics project, it connects related records to simplify processing. It then tracks changes made to the individual files over time. This added context helps ensure that no errors have been introduced into the records used for analytics tasks.

Filtering errors is just one part of preparing a dataset for analysis. Companies also need to create a schema, which defines the data points within an information repository and how they are organized. Connecty AI claims its platform can assist data scientists in refining their schemas to simplify the analysis process.

The platform also simplifies the process of merging datasets, which can be complicated by formatting differences between the files. For example, one dataset might separate each record into individual spreadsheet fields, while another could have multiple entries within a single field. These compatibility issues must be resolved before the files can be merged.

Connecty AI provides access to the data it processes via a chatbot. Users can ask the chatbot to run queries and visualize the results in graphs. For instance, a business analyst at a retail company might request a pie chart that displays last quarter’s revenue breakdown by store.

Workers can also have the chatbot involve colleagues. For instance, Connecty AI could request a member of the data science team to verify the accuracy of a record before it’s added to an analytics project. Additionally, there are features that allow users to share query results with team members.

Jacek Lubinski, Market One Capital Partner, said “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.”

Connecty AI claims its platform has already been adopted by several early users, describing these organizations as companies with annual recurring revenues ranging from USD five million to USD two billion.

The company intends to use the recently announced funding round to expand its feature set. It aims to develop more connectors to expand the variety of data sources its platform can access. Furthermore, it is working on an application programming interface (API) to enable customers to integrate its software with their own workloads.