INSUBCONTINENT EXCLUSIVE:
Pecan.ai, a startup that wants to help business analysts build machine learning models in an automated fashion, emerged from stealth today
and announced an $11 million Series A.The round was led by Dell Technologies Capital and S Capital
Along with a previously unannounced $4 million seed round, the company has raised a total of $15 million.CEO Zohar Bronfman says he and
co-founder Noam Brezis, whom he has known for more than a decade, started the company with the goal of building an automated machine
They observed that much of the work involved in building machine learning models is about getting data in a form that the algorithm can
analyst using business intelligence and analytics tools, who wants to bring the power of machine learning to their data analysis, but lacks
They divide these into two main categories
The first is customer questions like how much churn do we have, and the second is business operations questions related to things like risk
more advanced users.Pecan template catalog and screen pulling churn data from various data sources (Photo: Pecan.ai)After you select the
template and point to a data source such as a database, data lake or CRM repository, Pecan does the work of connecting to the source and
pulling data into a dashboard
You can also export the algorithm for use in an external service or application, or Pecan can automatically update a data repository with
data the algorithm is measuring, such as churn rate.The founders have been building this platform since 2016, when they founded the company,
and have been working with beta customers for the last 18 months or so
Today, they emerge from stealth and bring Pecan to market in earnest.Bronfman plans to move to New York City and open a sales and marketing
office in the United States , while Brezis will remain in Tel Aviv and oversee engineering
