The client expertise business will grow to be a $5 trillion market by 2030, in response to Netomi founder and CEO Puneet Mehta, who says that progress will create demand for stablecoins and blockchain-based cost infrastructure fairly than pull capital away from crypto.
Mehta mentioned corporations at the moment spend roughly $500 billion yearly on buyer experience-related data work. As AI expands past buyer assist into gross sales, conversion, upselling and cross-selling, he expects the market alternative to develop tenfold by 2030.
“Buyer expertise at present is structured as a silo,” Mehta mentioned. “That layer of know-how and folks doesn’t absolutely discuss to each system and each course of autonomously within the firm. As soon as that begins to occur, it unlocks a a lot greater class.”
Mehta, whose firm lately raised $110 million in a Collection C spherical backed by Accenture Ventures and Adobe Ventures, argues that the rise of synthetic intelligence and crypto must be considered as complementary developments fairly than competing sectors.
“The concept AI is solely sucking capital away from crypto is a elementary misunderstanding of the place know-how is heading,” mentioned Mehta, who beforehand labored as an engineer and knowledge scientist at IBM and later held related roles at JPMorgan, Citi and Merrill Lynch. “We’re not in a zero-sum battle for enterprise {dollars}.”
Mehta’s view that AI brokers would require quicker monetary infrastructure aligns with a rising argument amongst crypto executives that autonomous software program may grow to be a significant driver of stablecoin adoption.
Fiat-pegged cryptocurrencies are getting into a brand new part of adoption, with giant companies utilizing them for cross-border treasury flows whereas AI brokers start utilizing blockchain rails for autonomous funds, Bridge and Deus X Capital executives lately mentioned at Consensus 2026. In April, Chainalysis mentioned stablecoins are on monitor to grow to be a foundational layer of world finance, with adjusted transaction volumes projected to succeed in $719 trillion by 2035
AI enabling crypto
The following part of enterprise software program will depend on autonomous AI brokers able to dealing with more and more complicated enterprise features, together with monetary transactions, in response to Mehta.
“AI brokers are transferring cash and belongings quicker than legacy enterprises can comply with,” he mentioned. “An autonomous agent can not depend on conventional banking programs that take days to settle transactions through handbook paperwork. ”
Mehta argues that absolutely automated software program programs require two key elements: AI programs able to decision-making and blockchain cost infrastructure able to transferring cash immediately.
“To attain true end-to-end automation, these software program programs require always-on capital rails that function 24/7,” he mentioned.
That requirement may drive higher demand for stablecoins and blockchain-based settlement networks that function across the clock (24/7). Stablecoin issuers and crypto cost companies have more and more positioned their merchandise as instruments for real-time settlement and cross-border transactions.
Nonetheless, many enterprise software program corporations proceed to depend on conventional cost suppliers and banking networks, and it stays unclear how rapidly blockchain-based settlement programs will grow to be a normal part of AI-driven commerce.
Unicorn standing
Netomi’s newest elevate brings its complete funding to $168 million. Mehta declined to reveal the corporate’s valuation however mentioned the corporate is nearing unicorn standing.
Netomi, whose shoppers embody world giants equivalent to Delta, United Airways, MetLife, ESPN, and ATB Monetary, is constructing a unified AI platform fairly than a group of disconnected instruments, he mentioned.
Whereas many enterprise AI suppliers deal with particular person features equivalent to customer support, authorized operations or gross sales assist, he defined, Netomi is constructing programs that work throughout these features and share info between them.
“Most corporations are constructing level options,” Mehta mentioned. “They’re fixing one downside at a time. We consider the longer term is a linked enterprise the place AI programs aren’t working in silos however working collectively throughout your entire group.”
UPDATE (June 10, 17:10 UTC): Provides part on Netomi nearing unicorn standing.