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magia.ai revenue, CEO Varun Bhanot, team size, customer count, churn, and more in 2026.

For retailers whose products require competent shopping assistance, magia provides a Cognitive Selling Platform for human-like digital selling across any retail channel. We power web chatbots, apps, email, social media, messaging (FB Messenger), voice assistants (Amazon Alexa) and physical stores with digital sales assistants to turn every customer interaction into a selling opportunity. Retailers gain customer engagement and loyalty, higher sales velocity, and drastic cost reductions in selling costs. Shoppers facing overwhelming choices, complex product considerations, or personal concerns can make confident buying decisions quickly and easily.

magia.ai Revenue

We do not have information about magia.ai's revenue yet.

magia.ai Valuation, Funding Rounds

Explore the complete funding history and valuation milestones for this company. Below you will find information about each funding round and key financial metrics that shaped the company's growth trajectory.

magia.ai Capital Raised & ValuationCumulative capital raised and post-money valuation by roundCapital raised (cum.)Valuation$0$120162016 cumulative: $0 • 2016 Founded: $02016 Founded: $0 valuationSource: GetLatka.com
YearRoundAmountValuation% Sold

magia.ai Employees & Team Size

We do not have information about magia.ai's team yet.

Founder / CEO

Varun Bhanot

Varun Bhanot is listed as Founder / CEO at magia.ai.

Q&A

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Customers

We do not have customer count information for magia.ai yet.

Frequently Asked Questions about magia.ai

What is magia.ai's revenue?

GetLatka has not confirmed a public revenue figure for magia.ai.

Who founded magia.ai?

magia.ai was founded by Varun Bhanot.

Who is the CEO of magia.ai?

The CEO of magia.ai is Varun Bhanot.

How much funding does magia.ai have?

magia.ai raised -.

How many employees does magia.ai have?

magia.ai has - employees.

Where is magia.ai headquarters?

magia.ai is headquartered in San Jose, California, United States.

Source Attribution

Source: all data was collected from GetLatka company research and founder interviews. Revenue, funding, team, and customer figures are presented as company-reported or GetLatka-estimated metrics where the profile data identifies them that way.