dTelecom

Communication layer for Agents & Humans. Real-time Voice, Video & Voice AI. 170M+ minutes served. Pay-per-use via x402. Grants from @SolanaFndn @peaq

[dTelecom @dtelecom]

dTelecom is now #2 by payment volume on x402.

The customer now isn't a human - it's an AI agent.

They optimize for latency, reliability, price.
And pay the winner automatically.

That's exactly what x402 enables.

Thanks @coinbase for pushing 🤖-to-🤖 payments forward.

[dTelecom @dtelecom]

dMeet is where we ship dTelecom's infrastructure to real users first. Scheduling is a small feature on the surface and a full path through the stack underneath: a booking link, a calendar, a live room, and AI transcription running on infrastructure we operate end to end.

[dMeet 🤙 @dMeetApp]

You're paying for a scheduling tool you don't need.

Scheduling is live in dMeet, on every plan including Free:
• A direct booking link per meeting type
• Google Calendar sync, so your busy slots never get booked
• Guests see times in their own timezone automatically
• Picking a slot creates the meeting room, no separate video link to paste

One tool instead of two subscriptions.

[dTelecom @dtelecom]

Arabic is live in dMeet, the flagship app on the dTelecom network.

MENA is where real-time communication demand is growing fastest, and where privacy expectations are highest. Full RTL, self-hosted AI, no third-party model providers touching your meetings.

More builders on dTelecom shipping to more regions.

[dMeet 🤙 @dMeetApp]

dMeet is now available in Arabic.

Full RTL layout, not just translated strings. Meetings, chats, calls, settings - all of it.

Fifth most spoken language in the world. Fourth most used online.

Live on iOS, Android and web today.

[dTelecom @dtelecom]

Agents don't fill out signup forms.

That's the whole reason we shipped on https://t.co/aZlByolWev. An agent that needs voice for thirty seconds shouldn't need a dashboard, a card on file, and a sales call first. It should just call the endpoint and pay for what it used.

Five real-time voice endpoints, live now.

[Solana Foundation @SolanaFndn]

.@dtelecom is now live on https://t.co/iVQ8jKLkFz

5 endpoints of real-time voice your agent can call with zero signup, just pay-as-you-need.

Run live WebRTC voice sessions, speech-to-text, and text-to-speech on demand.

Point your agent at it: https://t.co/GZirNSNfYV

[dTelecom @dtelecom]

@SolanaFndn 😎

[Solana Foundation @SolanaFndn]

.@dtelecom is now live on https://t.co/iVQ8jKLkFz

5 endpoints of real-time voice your agent can call with zero signup, just pay-as-you-need.

Run live WebRTC voice sessions, speech-to-text, and text-to-speech on demand.

Point your agent at it: https://t.co/GZirNSNfYV

[dTelecom @dtelecom]

6/
$230M validated the category.

The question isn't the category - it's who assembles the stack the right way.

https://t.co/FqkXbDWnQh

[dTelecom @dtelecom]

1/ In January 2026, two companies became unicorns nine days apart. LiveKit: $100M Series C at a $1B valuation. Deepgram: $130M Series C at $1.3B. $230M into voice AI infrastructure in two weeks.

[dTelecom @dtelecom]

5/
We built dTelecom to collapse that stack: voice, video, STT, TTS - one API on our own network of CPU and GPU nodes.

50-95% cheaper than centralized stacks. Up to 4x lower latency on speech recognition. 170M+ minutes served.

[dTelecom @dtelecom]

Most DePIN networks bootstrap the same way: token incentives first, hope demand shows up later.

dTelecom is #2 by payment volume on x402 - and none of it is incentivized.

Every payment is an AI agent buying voice, STT, or TTS because it needs it right now. Per request, in USDC. No accounts, no API keys, no human in the loop.

Real demand. Machine customers. Revenue on the network - rare for DePIN at this stage.

That's the difference between usage that pays for a network and emissions that simulate it.

https://t.co/YEqHAWXQp1

[dTelecom @dtelecom]

The Voice AI migration pattern we keep seeing:

Month 1: start on an orchestrator. Fast setup, demo ready in a day.

Month 6: 30K minutes/month. The bill is now a line item the CFO asks about.

So teams rebuild - and discover the stack is 3-4 vendors: RTC, STT, TTS, plus glue code. Each with its own margin baked in.

That rebuild typically saves ~80%. The catch: you're now managing 4 contracts and 4 failure points.

dTelecom collapses it to one API on our own infrastructure - voice, video, STT, TTS. The economics of self-hosting without the vendor sprawl.

[dTelecom @dtelecom]

Meeting-intelligence tools summarize one call.

The harder problem: making 6 months of company meetings answer a question.

That's what Shared AI Memory in @dMeetApp Team Workspaces does - built entirely on dTelecom infrastructure, end to end.

[dMeet 🤙 @dMeetApp]

Introducing Team Workspaces.

Your company's meetings, turned into shared organizational knowledge.

Every workspace includes:
- Shared AI Memory
- Shared meeting history
- Shared AI credits
- Owner / Admin / Member roles
- Unified billing

Create persistent rooms for Marketing, Sales, Product, Client calls - each with its own link and its own history.

Then ask across all of them:
"What pricing objections came up in customer calls last month?"
"Why did we move the launch date?"

The more meetings you run, the smarter your knowledge base gets.

Live now: https://t.co/6yPa2bNx33

[dTelecom @dtelecom]

Meta built an AI 'second brain' for its workers.
63,000+ installs across engineering, PM, design, legal, finance. It took a dedicated team and a custom platform. They're now piloting a shared 'Third Brain.'

@dMeetApp does this from your meetings automatically. Every conversation → summarized → stored → queryable.

No manual input. No separate tool. The meeting is the knowledge base.

[dTelecom @dtelecom]

If you always wanted to query your calls and just get a reply - now you can.

Free to use > https://t.co/DgbK1ZaYiG

[dMeet 🤙 @dMeetApp]

This is the whole workflow now 👇

You: type 'What did we agree on for the Q3 budget?' dMeet: returns the answer.
Plus you still have:
- the meeting
- the date
- the knowledge base

No rewatching or scrolling transcripts. Your meeting history, queryable like ChatGPT.

Try it free → https://t.co/Bh9XobJmlU

[dTelecom @dtelecom]

Gartner: '40% of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% today.'

And the other half of the forecast: over 40% of agentic AI projects will be canceled by end of 2027.

The difference between the two? Infra.
Bolted-on agents break. Built-in agents work.

@dMeetApp's agents run inside the meeting.
Not on top of it.

[dTelecom @dtelecom]

Meeting-intelligence market is projected to hit $25B by EOY 2026. From under $2B five years ago.

Thing is: searching meetings will be as common as searching email.

So we built on.

AI Memory in @dMeetApp makes every meeting in your history queryable. You ask - you get reply.

[Petr @MalyukovPetr]

We grow: $26K MRR / $317K ARR 🤑

[dTelecom @dtelecom]

True encryption is what matters when you don't want to trust infra, channel, backend.

We just shipped true E2EE 1:1 call for @dMeetApp

And here's why in matters: 👇https://t.co/vm31n6CgQw