Auxia raises $ 23.5 million to deal with the “Enterprise Marketing Running Trail Reaction”

AuxiaStarting the artificial intelligence founded by former Google and Meta leaders has announced today that there is raised $ 23.5 million To help large businesses use their customers more effectively.

VMG technological partners Led a circle of Serie A funding, such as participation by incubate fund, MUFG Financial Group and over 50 industrial leaders, including Google CMO Laureon two -thousandBooking.com cmo Arjan dijk and former Meta CEO David FisherS

The investment is coming as industries are confronted with what Indy Guha, a general partner of VMG Partners, calls a “treadmill reaction” – the expensive repeated payment cycle to attract the same customers rather than build a lasting relationship.

“The acquisition of new buyers reached the highest price in 2024,” Mr Guha said in an exclusive interview with Venturebeat. “In a small part, this is because something like 75% of advertising dollars is controlled by Google, Meta and Amazon.”

This market concentration has pushed the cost of acquisition of customers to record levels, forcing companies to rethink their approach to marketing. “The only valve for real pressure release is no better hacking of growth, but ultimately the loyalty of customers,” Guha added.

How AUXIA overcomes the critical gap between data collection and client experience

Auxia aims to resolve a permanent gap in modern marketing technologies. While companies have invested a lot in data collection tools like Snowflake And customer engagement platforms often lack the connecting layer, which turns harsh data into custom customers.

“There is the whole average stage of how you use your data from the first country to know better who is your client and how to talk to them,” Guha explained. Without specialized software, this usually requires hiring scientists according to half a million dollars each – an excessive price for many organizations.

Sandeep Menon, co -founder and CEO of Auxia, who previously managed Google’s marketing products, including Android and Chrome, saw this first -hand problem in major technology companies.

“When I talk to CMOS and major digital employees, the number one problem they have is that they are sitting on all these data on the first country, but they have no resources for data science to use it well,” says Menon in an exclusive interview with Venturebeat.

In the AUXIA agents ecosystem that transform the enterprise’s marketing

The AUXIA platform uses what the company calls “agency AI” – essentially a team of specialized artificial intelligence systems that work together to analyze customer data, make decisions and provide personalized experience in channels.

“We have a set of synchronized AI agents,” Menon said. “It is their job to help marketers deliver hyper-per-pressed experiences.”

These agents include a decision -making system that defines a specific content for each user, an analyst that helps to attribute and an experiment agent that tests multiple approaches at the same time. Together, they process over 2.5 billion events daily and make more than 250 million decisions every day at Auxia’s client base.

The system is a shift from traditional marketing approaches, focusing on individual customer trips, not wide segments.

“You are moving from what I call an approach to a campaign, where you think of widely -based segments, to much more than an approach oriented to consumers or users,” Menon said.

Impressive results of AUXIA: 84% increase in customer life value for the global market

Since its launch in early 2024, AUXIA has attracted several Fortune 1000 customers, including one of the largest markets for users in the world with over 25 million active users a month. This client has been reported to have increased an 84% increase in the life value of the clients of the cross category within four months after implementation.

A global financial institution with over $ 650 billion assets under the guidance had a 50% impetus to the tariffs to complete the board using the platform, according to the company.

“The specific case of use is the purchase of a cross category-determining what is exactly the next category that will be encouraged to a particular user to stimulate the increased value of life,” Menon explained.

While Auxia declined to name specific customers, citing confidentiality agreements, Gua noted that “five best global banks” already used the unusual platform to start at the financial sector, where security and compliance fears usually slow down the new technology.

Why AUXIA’s market opportunity for $ 2 trillion can change Enterprise marketing

Bets are significant for companies that receive proper customization. According to Auxia, over $ 2 trillion revenue is expected to transfer to companies using AI to customize within the next five years.

However, this transition requires a fundamental change in the way of working for marketing teams. Instead of creating strict rules, the Auxia approach focuses on what Menon calls “goals and fuses.”

“The way the AUXIA system works is that we are able to set goals, but along with setting goals, we have made it super easy to determine what the railings are,” he said. This allows AI systems to optimize within the boundaries established by human marketers.

Starting works to deal with confidentiality fears, relying exclusively on data from the first country and the construction of privacy control in its infrastructure from the beginning. “We were compatible with GDPR, even before we started with our first client,” said Menon, citing the Data Protection Regulation in Europe.

How the vision of Auxia parallel to the revolution on the Internet marketing since the beginning of the 2000s

With the new funding, Auxia plans to expand its engineering team and develop new opportunities for AI. Menon believes that the industry is at a folding point similar to the first days of internet marketing.

“The closest parallel I can think of is when I started working when the internet was just taking off,” he said. “CMO, who hugged the internet, survived, flourished and growing, and the rest were lagging behind. Similarly, any marketing leader will have to help the shepherd in this new change. “

The company faces competition from established marketing platforms, including Salesforce and AdobeAlthough Guha claims that existing solutions only offer “customization of a narrow range” rather than a complete optimization of customer trip.

“If done correctly, it will be transformative,” Guha concluded. “This is probably the biggest unresolved problem left in digital marketing.”