With the internet taken over by bots, synthetic content, and financial fraud, the US-based firm is building the invisible foundation for proving authenticity online. 

Its new platform integrates cryptographic verification into existing digital systems, allowing developers, brands, and enterprises to confirm that users are human, content is genuine, and credentials are valid, all without disrupting user experience.

Founded four years ago by Anthony Anzalone, XION seeks to tackle online doubt. “We’re not a crypto company; we’re a trust company,” Anzalone stated. The company’s technology operates in the background, validating digital interactions in real time while remaining seamless for users.

The need for such technology has never been greater. According to Gallup, media trust in the United States has fallen to a 50-year low of 28%. 

MIT research shows that false news spreads six times faster than the truth and is 70% more likely to be retweeted. Meanwhile, Imperva reports that nearly half of global web traffic comes from non-human sources, with 32% identified as malicious bots.

The cost of this erosion of trust is appalling. Juniper Research estimates that between 2023 and 2028, synthetic identity fraud will cost financial institutions over $362 billion, while ad fraud already drains around $100 billion annually. 

Analysts also warn that by 2026, up to 90% of all online content could be synthetic, a reality that threatens global economies, political stability, and personal well-being.

“These aren’t just numbers. They’re failed businesses, abandoned dreams, and broken promises,” said Anzalone. “Furthermore, these are fabricated realities that harm mental health, destroy families and communities, have the power to change the course of a country’s history and certainly cause companies to close their doors forever.”

Beyond Reactive Tools

Tech companies have long attempted to combat fraud and misinformation, but most solutions are reactive or user-hostile. CAPTCHAs test humans after a bot arrives. Onboarding checks verify identities once and never again. Blockchain-based verification often requires new wallets or complex mental models.

However, as AI-powered attacks grow more sophisticated, increasing by more than 700% in the second half of last year, these fragmented defences are quickly becoming obsolete. 

According to Gartner, enterprise AI adoption will surge over the next five years, but deception tools are advancing faster than verification tools, creating a dangerous imbalance.

XION’s Distinctive Approach

What makes the XION verification infrastructure system different is its invisibility. Its verification engine operates at the architectural level, rather than as an added feature, and does not rely on blockchain jargon or wallet-based authentication. 

It is MiCA and eID regulation-ready, offering seamless integration with familiar logins like Apple ID, Android, and other standard authentication methods.

This backend-level infrastructure allows for human verification, content authenticity checks, credential validation, and privacy-preserving proofs, all functioning quietly beneath the surface of everyday applications.

Scaling Global Adoption

XION verification infrastructure layer is already being deployed across multiple sectors, with over 150 global brands and more than one billion users engaged with its ecosystem. The company is targeting 47 million developers worldwide, far beyond the narrow confines of the Web3 developer base.

The technology’s applications span marketing, loyalty programmes, travel, gaming, and events. For instance, event organisers can now eliminate ticket fraud, ensuring users don’t pay exorbitant resale prices. 

Marketers can measure verified engagement. Employers can authenticate credentials before hiring. Brands can reward real human actions, not bots or fabricated identities.

“Trust has become the scarcest resource in digital environments,” said Anzalone. “Verification is now table stakes for any company that depends on attention, engagement, or transactions. XION is building the infrastructure layer that makes proving authenticity as fundamental as encryption. The internet’s next infrastructure layer isn’t about moving information faster. It’s about proving it’s real.”

XION’s message to stakeholders is:

• Developers should embed verification at the architectural level, not after fraud is detected.
• Brands should focus their budgets on verified attention and authenticated engagement.
• Users should begin to expect authenticity as a default experience.

The startup’s debut product, Chipmind Agents, is aimed at automating the repetitive, low-level work that ties up engineering teams and drags out design cycles.

Chipmind describes its agents as a new class of tools that work from a customer’s own, proprietary design data.

The agents are built to slot into existing engineering flows, learn a company’s toolchain and design hierarchy, and then carry out multi-step design and verification tasks autonomously, all while leaving final control with the human engineer. The company claims engineers can save roughly 40% of their time on routine chores.

The problem Chipmind targets is familiar to anyone who has worked in chip design: massive, customised EDA flows that simply were not built to talk to modern automation. Chipmind’s founders say they didn’t try to rip out those legacy systems.

Instead, they built a platform that prepares them for agentic automation and wraps intelligence around the existing stack.

“In the semiconductor industry, deep customisation and data protection are fundamental, but true design awareness is what separates a generic tool from an intelligent partner. Each company’s chip is a complex hierarchy with unique constraints, surrounded by a proprietary environment of tools and workflows,” said Harald Kröll, co-founder and CEO of Chipmind. 

“That is the reality we built for. Our ‘design-aware’ agents are engineered to holistically understand the entire chip context, not just the surrounding tools. We’ve found this deep awareness is the key that unlocks productivity, translating directly into significant time savings on the most complex tasks, all while integrating seamlessly into existing workflows.”

The startup’s origin is rooted in academic and industry experience. Co-founders Harald Kröll and Sandro Belfanti met at ETH Zurich during their PhDs and together have been involved in the development of more than 20 chips, from mobile modems to system-on-chip designs. Their experience, they say, exposed how much of chip engineering is precise but repetitive work.

“Anyone who’s spent time in chip development knows how much of the work is repetitive and time-consuming, demanding precision but not necessarily creativity,” said Sandro Belfanti, Co-Founder and CTO of Chipmind. 

“Throughout my career developing chips at top-tier semiconductor companies, I’ve often wished for a solution that could magically take care of those tedious tasks so I could focus on solving real engineering challenges.

“With Chipmind Agents, we’re finally bringing that solution to life: AI agents that can autonomously handle the boring parts, letting engineers focus on what truly matters: innovation.”

Chipmind’s first funding round was led by Founderful, with several semiconductor industry angels joining the table. The founders say the money will go to hiring engineers, speeding up product work and deepening relationships with strategic customers.

The launch arrives as chip design grows continually harder, demand for compute rises, design complexity increases, and simply adding headcount is not a realistic fix. Chipmind places itself as a practical bridge, a way to keep existing toolchains while automating the parts of the process that slow teams down.

Edouard Treccani, principal at Founderful, added: “In a world buzzing with AI every day, Chipmind stands out as a refreshingly real solution to a problem Harald and Sandro have spent 20 years deep in. From day one, they’ve built in close dialogue with the market, and the early feedback has been remarkably positive. Founderful is thrilled to be part of their journey!”

Chipmind is offering demos to semiconductor groups interested in testing its agents and says it will continue scaling its engineering team as it works with early customers.