π PROM ecosystem Γ @Sonvia_ai π€
Music has never had trouble being owned. It has trouble being counted. A track is played millions of times for fractions of a cent, and the industry answers with quarterly statements, intermediaries, and rights that take months to turn into money.
Sonvia is building the economy around AI music directly: assets, ownership, and value exchange are handled on-chain, with agents in the picture from the start.
At PROM, we're exploring what that means when a listener is not necessarily a person. A play becomes a transaction, a payment can be the size of the thing it pays for, and the money reaches whoever holds the rights at the moment the transaction occurs.
More updates soon. π
π PROM ecosystem Γ @Ditto_Network π€
A workflow fires on Ditto and a decentralized network of operators runs it. Every step is simulated, attested, and executed only once more than two thirds of them agree.
What makes that a guarantee rather than a promise is the stake. Operators are bonded through EigenLayer and Symbiotic, and a bad execution costs them real money. Ditto can tell you the work was done properly.
At PROM, we're building the half that follows: what the parties owe each other once it is, released against the outcome rather than a schedule or an invoice.
Slashing is what happens when work goes wrong. Payment is what happens when it goes right.
Prom retweeted
Ask anyone who sends money abroad what annoys them most. It's rarely the fee. It's the fee they didn't know about.
A7 International made a point of this at its launch: the price is known before you pay, and it doesn't change afterwards.
What they committed to on stage:
β’ 0.3% fee, flat, stated upfront
β’ no hidden extras, no "correspondent bank charges" surprise
β’ no unexplained freezes of funds along the way
β’ USDT from you, SWIFT in USD, CNY or AED to the recipient
β’ from one business day to delivery
Fradkov described the market's real demand as "a few clicks from a smartphone, without paperwork, hidden fees or frozen money."
Everyone promises that. Few deliver it at 2,000+ payments a day. Following to see if they do: A7.biz
#crypto #A7
Prom retweeted
Most B2B payment products quietly exclude you if you're not a company.
A7 International said on its launch stream that the new product is for both: companies and individuals paying abroad.
The flow is the same for either:
β’ register on a7.biz, upload the invoice
β’ system reads the amount and the bank details automatically
β’ recipient's registration certificate goes through verification
β’ confirm one USDT transaction from your wallet
β’ recipient gets SWIFT in USD, CNY or AED, from one business day
Fee is 0.3%, fixed. Only the payer needs a wallet; the other side never touches crypto.
Shor's point: "If your partner specifically needs to receive funds via SWIFT, now you have that option."
Opening this to individuals is the part I didn't expect. Following to see how it's used: A7.biz
#crypto #A7
Prom retweeted
Trade routes are moving. Settlement rails mostly aren't.
That gap is what A7 International went after at its launch this week. The founders' thesis in one line: "The market belongs to those who come first with a working solution."
What "working" looks like in their version:
β’ payer settles a foreign invoice in USDT
β’ recipient gets SWIFT in USD, yuan or dirhams, the currencies of the new routes
β’ payment network across 150+ countries, no local offices
β’ 15,000+ businesses already using the group's rails
β’ 0.3% fee, from one business day
The currency choice is the tell: dollar, yuan, dirham. That's where trade is going.
Early days for the product. Watching whether the rails keep up with the routes: A7.biz
#crypto #A7
Prom retweeted
2024: a cross-border payments company for one market.
2026: a launch on an open stage in Moscow, pitching a product to the whole world.
A7 International's founders used the stream to show what happened in between:
β’ 150+ countries connected to their payment network
β’ 15,000+ business clients
β’ 10 trillion rubles in payments last year
β’ 2,000+ transactions a day, half of them processed by AI
β’ market leader in Russian cross-border payments with a 19% share
The new product sits on top of that: pay a foreign invoice in USDT, recipient gets SWIFT in USD, CNY or AED, 0.3% fee, from one business day.
Fradkov's words: "We have outgrown this framework."
Fast growth is easy to announce and hard to sustain. Curious which way this goes: A7.biz
#crypto #A7
Prom retweeted
Crypto payments usually break at the accountant's desk, not at the blockchain.
No invoice match, no bank confirmation, nothing to file. A7 International showed a flow at its launch that seems designed for that desk:
β’ you upload the actual invoice, the system reads the details
β’ the recipient company's registration certificate goes through verification
β’ the counterparty receives a regular SWIFT transfer in the invoice currency
β’ you get a document confirming the payment was executed
β’ 0.3% fee, from one business day
The payer uses USDT. The paper trail looks like a normal international transfer.
Shor's framing: "We make complex financial operations understandable again."
If the documents hold up in a real audit, this is the interesting part. Following: A7.biz
#crypto #A7
π PROM ecosystem Γ @Ocean6_ai π€
Ocean6 is putting AI where the work actually happens: software that understands a job, compute that runs it, and devices that carry it out in the physical world: so one person can start a business without owning any of that infrastructure.
A job like that has more than one party in it. The application that handled the order, the compute that processed it, the machine that delivered it. One payment arrives, and several hands did the work.
At PROM, we're building the part that decides who gets what: payment released when delivery is confirmed, then split across the chain by contribution rather than by invoice.
More updates soon. π
π PROM ecosystem Γ @Vanarchain π€
Give an agent a company, and the money stops being simple. A single agent pays for one task at a time. An organization has a team to pay, products to sell, customers to invoice, and a treasury that has to answer for all of it.
Vanar Foundry is built for that shape: AI Organizations with their own team, memory, products, customers, and revenue, and eventually their own token.
At PROM, we're building what the money side of that runs on: a payment that fires when a deliverable lands, a charge raised the moment a customer is served, and a treasury that reconciles both on its own.
A company is not an agent with more tasks.
It is an agent with a balance sheet.
π PROM ecosystem Γ @TapeOutWorld Γ @MovaChain π€
You can verify a contract. You cannot verify the app in front of you: its frontend, its entry point, and its version sit on ordinary servers, DNS, and gateways, and nothing on-chain says whether what loaded is the real thing.
TapeOut is working to make the application itself an on-chain object: entry points, versions, service declarations, and content hashes written as records anyone can read and check. Mova brings the settlement rail, with stablecoins such as USD1 from @worldlibertyfi as the unit those services are priced in.
At PROM, we're building the middle layer βthe condition. A gateway served the request, a frontend was delivered, a version checked out, and that fact, rather than an invoice, is what releases the payment.
More updates soon. π
π PROM ecosystem Γ @RunePoolBTC π€
An autonomous strategy needs capital before it needs anything else. RunePool supplies it: shared pools an agent can draw on, strategies that run without a human in the loop, and profits distributed back to the people who funded them.
That closes the loop between a pool and its liquidity providers. But a working agent also owes money outward β for the data it reads, the compute it burns, the task another agent finished on its behalf.
At PROM, we're building the layer for those obligations: programmable payments and automated settlement between parties that never shared a pool.
More updates soon. π
π PROM ecosystem Γ @LinkaLabs π€
Linka Labs names a gap most AI stacks step over: compute finishes a job, but if weights, traces and state have nowhere to live, the next job starts from zero. Their answer is storage the network can schedule: objects registered, weighted, and handed to models on demand.
Weight is the interesting part. It makes storage demand measurable β which bytes are actually used, and which ones only take up room.
At PROM, we're building the layer that acts on that measurement: metered payments and value routing, so the side holding useful data gets paid for holding it.
Stored data earns nothing. Scheduled data can.
π PROM ecosystem Γ @Astrix_market π€
Astrix is building prediction markets for questions that actually matter β politics, economics, technology β where collective judgment gets priced in real time rather than argued about.
The useful part is the output. A probability is an opinion in a form a machine can use, which a published forecast is not.
At PROM, we're building what happens after a question resolves: automated settlement and programmable incentives, so an outcome pays out on its own terms.
More updates soon. π
π PROM ecosystem Γ @noma_network π€
Give an agent credit and you create a problem that did not exist a moment earlier: something has to make sure it pays back. An agent has no history, no legal person standing behind it, and no particular reason to still be running next week.
Noma Network is building that side of the machine economy, bringing liquidity and credit to agents themselves rather than only to the people who own them.
At PROM, we're building the layer where obligations close. Settlement that executes on its own terms, so a repayment happens because the conditions were met, not because somebody went chasing it.
Credit only works where settlement is certain. π
π PROM ecosystem Γ @Mintellect_AI π€
A patent or a piece of intellectual property can be owned, licensed and tokenised. What rarely follows automatically is the money: royalties get calculated later, splits get reconciled by hand, and every licence turns into administration.
Mintellect AI works on the first half, bringing patents and IP on-chain with AI assistance along the way. At PROM, we're building the second half: programmable payments and automated splits, so a license can pay out on its own terms and value reaches every entitled party without anyone assembling a spreadsheet.
More updates soon. π
π PROM ecosystem Γ @HiiT_World π€
A signal fires. Today that is usually where it stops: a person reads it, decides whether to believe it, and maybe acts hours later. HiiT is building a real-time market for those signals, and working toward a form that agents can read rather than only people.
At PROM, we're building the economic layer beneath that: automated settlement and coordination between agents, services and protocols, so an action taken on a signal can be paid for and closed out on its own terms.
Put together, the chain runs end to end. Signal, agent, execution, verification, and then the part where value actually moves.
Signals stop being advice and become instructions. π
π PROM ecosystem Γ @CottoniaAI π€
Cottonia AI is building distributed cloud and AI infrastructure: capacity that applications and agent workloads can draw on instead of depending on a single provider.
Capacity like that is booked before it is used and paid for after. Between those two moments somebody has to hold the commitment.
At PROM, we're building that part: escrow and automated settlement, so compute can be reserved against something real and released once the work is delivered.
Reserved capacity becomes settled work. π
π PROM ecosystem Γ @axiomos_ π€
When a piece of content is generated, Axiomos can sign it at that moment: a cryptographic record of what was made, by what, and when. Verification afterward becomes a check rather than an argument.
At PROM, we're building the economic layer that can act on that record: native monetization and value distribution, so provenance decides who gets paid, not just who gets credited.
Together, this connects verified AI content with programmable economic logic. As more of what circulates online turns out to be machine-made, knowing where something came from becomes a commercial question, not only a question of trust.
More updates soon. π
π PROM ecosystem Γ @QuackAI_AI π€
At PROM, we're building the economic layer for AI agents and autonomous systems: programmable payments, escrow, automated settlements, and value exchange between agents, services and protocols.
Quack AI is building the governance layer for the same economy, with policy and decision-making already running across more than ten chains and fifty protocols. Together, we'll explore how authority and settlement can work as one motion rather than two.
What is worth seeing here is what changes once agents can be trusted with authority. Not a person approving every action, but a mandate written once: what may be spent, on what, under which conditions, and what happens if those conditions fail.
At that point delegation stops being a risk managed one transaction at a time. An organisation can run processes that never wait for a signature. A person can hand over a budget instead of a task. Whole categories of work that were too small to supervise become worth doing, precisely because nobody has to supervise them.
More updates soon. π




















