Maxa builds a Snowflake-native application that unifies multiple ERP and business data systems into a single, accurate, pre-computed source of insights. Central to its software is the Universal Business Data Model (UBDM), which standardizes and combines data from nearly any business system to make it accessible to non-technical analysts, developers, and AI. Companies use Maxa to automate financial, ERP, and operational reporting and analysis, enabling managers to improve decision-making and daily course-correction. The product is designed to enrich both human and AI-driven business conversations with timely, auditable data. The company plans to use the new funding to further enhance its product, expand go-to-market efforts, and improve customer self-serve capabilities. Maxa is co-founded and co-led by co-CEOs Raphael Steinman and Alexis Steiman and is based in Montreal, Canada. Maxa builds a software layer that runs alongside one or several ERPs and core business systems to enable BI automation, system unification, and predictive AI analytics. Its solution is quick to set up and supports a SaaS business model with no commitments. Maxa’s technology provides business performance AI to help organizations gain faster insights into past, present, and future performance. The company counts customers such as Bell and AJW. Maxa plans to use new funding to continue product development and to bolster its North American go-to-market team. As of this round, Maxa has raised a total of more than $3.8M (CAD 4.8M) to date.

Total raised

$23M

Funding rounds

2

Latest round

Series A

Latest activity

May 2024