Gency AI has raised $20M to accelerate the development of a sovereign advertising network powered by AI and blockchain consensus.
The round was backed by Y&ZC Capital, MTmetaworld Holdings, Riverpark, ArkStream, MH Ventures, ViaBTC, Basics Capital, and others.
We’re building a future where digital advertising runs on verifiable execution, automated settlement, and privacy-preserving infrastructure.
Learn more: cointelegraph.com/press-rele…
The first wave of AI content rewarded volume.
Today, audiences have more content competing for attention than ever before, and distribution alone is no longer enough to stand out.
Creators, brands, and platforms are all facing the same challenge.
How do you demonstrate that engagement is genuine?
In an environment defined by abundance, proof becomes part of the product.
Digital advertising continues to fragment across channels, formats, and supply paths.
CTV, mobile, social, and programmatic ecosystems now operate with overlapping but non-identical measurement standards.
As fragmentation increases, aggregated reporting becomes less representative of actual user behavior.
Consistency of verification becomes more important than consistency of reporting.
Programmatic advertising now accounts for over 90 percent of digital display transactions.
Campaigns launch faster, optimization happens continuously, and decisions increasingly rely on automation.
The more complex the system becomes, the more important transparency becomes.
Advertisers still need confidence that budgets flow where they are intended to go and outcomes reflect genuine engagement.
Visibility remains a core part of performance.
Stop blaming your ad creatives.
9 times out of 10, the creative isn't failing—your attribution is just broken. You can't "optimize" a campaign when your dashboard is feeding you bad data.
Fix the data layer first: gencyai.io/
Brands will drop millions on a World Cup campaign, only to measure the results with guesswork and conflicting dashboards.
It makes zero sense. When the stakes are that high, the industry needs verifiable proof, not "estimated reach."
Explore Gency: gencyai.io/
The advertising industry is hilarious.
Frontend: AI, machine learning, millisecond bidding.
Backend: 3 Excel sheets, 17 email threads, and someone saying "let me double-check the numbers."
Feels like that part of the stack deserves an upgrade too.
gencyai.io/
Everyone keeps talking about AI agents buying ads.
Almost nobody is talking about what those agents are optimizing for. If the training signal comes from platform-reported metrics, you don't get autonomous intelligence. You get automated bias.
The next generation of advertising won't be defined by smarter agents.
It'll be defined by better ground truth.
Real talk: ad tech has an open secret.
Most pubs wait 60–90 days to get paid. Small & mid players are literally floating the balance sheets of the big networks with their own working capital—for free. Make it make sense.
With Gency AI, settlements are completed automatically and reliably, without the delays and reconciliation headaches common in traditional systems.
No more manual spaghetti, no bad debt loops.
24h liquidity is the new floor. Everything else is legacy debt theater.
A trillion-dollar ad industry still runs on screenshots, spreadsheets, and trust.
That's the weird part. We can verify a blockchain transaction in seconds, but proving who actually drove a conversion can still take weeks.
Maybe advertising doesn't have an AI problem.
Maybe it has a proof problem.
Everyone wants to call their ad stack “agentic” because they added a chatbot on top of the same infrastructure from five years ago.
But if AI agents still depend on intermediaries, delayed reconciliation, and platforms grading their own performance… what actually changed?
That’s the layer Gency is focused on rebuilding.
Verification instead of blind reporting. Autonomous settlement instead of manual reconciliation.
2M+ users and $1B+ transaction volume already moving through the network.
Gency AI x @Magne_Ai
We’re partnering with MAGNE.AI, a Web3-native AI smartphone ecosystem combining secure hardware, private on-device intelligence, and dual-chain infrastructure for the next generation of digital ownership.
This collaboration connects secure device infrastructure with verifiable on-chain execution—where MAGNE.AI enables local AI and asset management, while Gency validates outcomes through programmable settlement.
Together, AI devices, ownership, and on-chain infrastructure become seamlessly connected.
Gency AI was never testnet vaporware or whitepaper hopium.
We’re actually shipping a global sovereign ad stack. And the numbers are loud:
2M+ real users
10B+platformvolume
The last decade of ad growth was fueled by strip-mining user data. The next winners build on data sovereignty.
A quick glossary for the new era of advertising:
Legacy Privacy: A PDF policy that everyone ignores.
CCL: Code that actually enforces data sovereignty.
Traditional Attribution: A "black box" guess.
VUR: A verifiable, cryptographic receipt of usage.
Net 90: Waiting three months for your own revenue.
PSG: Settlement that happens the moment the goal is met.
That’s the upgrade. 🚀
Gency AI x @karpak_xyz
We’re partnering with KarPak, the first real-world deployment of the Paratrix Protocol, transforming urban parking activity and revenue data into tokenized on-chain assets through a DePIN-powered infrastructure.
This collaboration connects real-world mobility data with verifiable execution—where KarPak structures parking behavior and operational revenue into measurable digital assets, and Gency validates outcomes and coordinates transparent on-chain settlement.
Together, mobility data, infrastructure, and value distribution become transparently connected on-chain.
The ad industry loves talking about "Privacy Innovation" while simultaneously adding five more tracking SDKs and a 40-page legal disclaimer.
That’s not innovation. That’s just more paperwork.
Real innovation is making compliance the default setting. We built Consent-as-Code (CCL) so that every computation must validate against machine-readable permission policies before it can proceed.
We didn't hire more lawyers; we wrote better code. 🛡️💻
















