Spling

Your AI assistant is your mouth.

Be understood by any business — in any language, with any voice, or with no voice at all.

A communication layer for everywhere commerce happens. Ordering is just the first thing we pointed it at.

Email only. Used once, to tell you it’s live.

An animation shows a request changing form, over and over — and it is a different request every time it runs. First it is sound: a voice waveform. Then the sound scatters, the way a speaker in a noisy place loses it. Then the particles reassemble into the words someone actually used, in one of more than fifty languages: a cheeseburger in Spanish, shawarma in Arabic, pad thai in Thai, momos in Nepali, an accessible hotel room in French, a prescription pickup at a pharmacy. Then those same particles resolve into the one exact line that business receives — “1× Cheeseburger · No Onion”, “Accessible Room · Late Arrival” — and finally into a pickup code. Any language, any counter, one exact transaction out. Nothing is lost on the way, because the sound was never the carrier.

Here is what a transaction looks like, and it changes every few seconds to a different language and a different kind of counter. In the first, a customer writes to their assistant in Hungarian: “Rendelnél nekem egy nagy lattét zabtejjel?” — would you order me a large latte with oat milk? The assistant replies: “Done — sent to Fern Café.” The café’s register receives it in English as exact menu entries: one large latte with oat milk, $6.25, paid by secure checkout, pickup code S P L dash 4 B 2 F. Later ones show a cheeseburger ordered in Spanish, pad thai in Thai, an accessible hotel room booked in French and a prescription collected in Spanish at a pharmacy — each arriving as an exact structured transaction the business already understands.

That’s the whole product. You wrote in your language. The kitchen got exact menu items in theirs. No one spoke.

Typed, not spoken — the same order from an AAC device or a keyboard.

A second exchange, and nothing about it was said out loud. The customer types four words on a keyboard or composes them on an AAC device: “large latte, oat milk”. The assistant replies: “Done — sent to Fern Café.” The receipt that arrives is identical to the first one — Fern Café, one large latte with oat milk, $6.25, paid by secure checkout, pickup code S P L dash 9 C 7 D. Same order, same accuracy, no voice at any point.

Identical receipt. The restaurant cannot tell which of these two orders was spoken, because neither of them was.

Real requests in the languages people actually use — a coffee in Hungarian, a cheeseburger in Spanish, shawarma in Arabic, pad thai in Thai, an accessible hotel room in French, a prescription pickup in Spanish, and more. Every one of them becomes an exact structured transaction the business already understands.

The speaker in traffic is the problem.

Everyone else is trying to make the speaker hear better. On screen, a noisy audio waveform flattens into a straight line, striking through the words “the speaker”. The heading “Spling deletes the speaker.” appears, and the flat line becomes the dashed rule of a small printed order ticket reading one large latte, oat milk — sound becoming structured data. Your order is composed as data and arrives as data.

A human-run drive-through gets the order right about 85 times in 100.1 The AI voice systems replacing them currently do a little worse. The reasons aren’t mysterious: road noise, cheap speakers, accents, second languages, speech differences. And if the spoken channel fails you entirely — because you’re deaf, because you use an AAC device, because today your voice won’t cooperate — the error rate isn’t 15%. It’s exclusion from a transaction everyone else finishes in ninety seconds.

Remove the acoustic channel, and every failure mode attached to it goes too. You order. They understand. Every time.

The drive-through is only the clearest version of this. The same barrier stands at a café counter, a hotel desk, an airport gate, a pharmacy window, a stadium concession and a government service desk — anywhere a person has to make themselves understood to a business before anything can happen. That barrier is the problem. The speaker was just where we noticed it.

Ordering for someone you love

Sometimes the person ordering isn’t the person eating. A parent, a support worker, a friend can stage the whole order — right items, right modifiers, allergens already enforced — and the person it belongs to finishes it with a single tap. Their order, their confirmation, their independence. Just less typing.

A smaller exchange shows it. The assistant says “Anna staged your usual — confirm when you’re ready?” and a receipt is shown, waiting: Fern Café, one medium decaf latte with oat milk, $5.40, marked “Staged by Anna · awaiting your confirmation”. The person it belongs to answers with a single tap: Confirm.

Email only. Used once, to tell you it’s live.

The counter is everywhere.

Every one of these is the same transaction wearing different clothes: a person has something specific in mind, and a business needs it exactly. The only thing standing between them is communication.

Spling is not a food-ordering app that might expand. It is a communication layer, and ordering is simply the first thing we pointed it at — because it is the highest-volume, most-measurable version of the same problem.

You arrive. It already knows.

The hardest part of being understood is everything you have to establish first.

Location is only the trigger. Anyone can draw a circle on a map — the circle is not the innovation. The context that loads inside it is. The measure of this working is that nothing has to be established twice, ever again.

Every hop loses something.

An order isn’t one event, it’s a relay. Each hand-off is a chance to lose a word — and the analogue ones lose the most, because sound is the least reliable thing in the chain. Fewer hops, clearer order. That’s the whole engineering thesis.

Spoken at a drive-through 7 hops

  1. You meancheeseburger, no onion
  2. You say itcheeseburger, no onion
  3. Through air & engine noisecheeseburger, no on—
  4. Into the microphonecheese— , —o onion
  5. Out of the speakercheeseburger, onion?
  6. Heard & rememberedcheeseburger, onion
  7. Keyed into the till1× Cheeseburger · Extra Onion

Seven chances to drop a word. You find out at the window.

Composed with Spling 2 hops

  1. You meancheeseburger, no onion
  2. Composed as dataITEM_2210 · MOD_NO_ONION · QTY 1
  3. Rendered at the till1× Cheeseburger · No Onion

No air, no microphone, no speaker, no recall. Nothing to mishear.

The middle isn’t a language. That’s the point.

Spling doesn’t translate your words into the cashier’s words — translation is just another lossy hop. It converts what you meant into item IDs, modifier IDs and quantities: a small, exact, wordless format that belongs to no language at all.

Every language on earth can enter it, and it comes out the other side as whatever that till speaks. Hungarian in, English out. Thai in, French out. Nothing is “nearly right”, because the middle has no room for nearly — an item either exists on that menu or the order doesn’t leave. A universal language for one narrow thing, which is exactly why it works.

Built for the people communication fails.

Not the speaker — the whole chain. Speech, hearing, language, literacy, memory, noise, hurry. Any link can break, and the order breaks with it. That isn’t a setting you switch on. It’s the reason the product exists.

Between them that is a far larger group than “accessibility” usually implies — and for some of them it isn’t a 15% error rate, it’s being shut out of a ninety-second transaction everyone else completes without thinking. Spling removes the requirement, not the difficulty.

Three things nobody else is building.

Ordering, payments, reservations and merchant integrations are becoming commodity infrastructure. We inherit them wherever they exist — they are not the advantage. These three are.

One connector, any assistant

Spling isn’t an app you open. It’s one connector, built on MCP — the open standard assistants use to reach outside tools. Add it once and it’s there in every conversation after that, on whichever assistant you happen to be using.

Your profile isn’t in the assistant. It’s yours.

This is the part that matters. Your language, how you communicate, your allergens, what “the usual” means, every order you’ve ever placed — none of it lives inside Claude or ChatGPT. It lives with you, and it arrives the moment you connect.

So when you switch assistants — to whatever is best next year, or whatever your school, workplace, or country puts in front of you — you don’t start over. You don’t re-explain your speech difference to a new machine. You don’t retype your allergens and hope. You connect, and it already knows.

And it’s exportable, in the open PAM format, any time you want it. Take it and leave. Nothing about Spling holds you here — that’s the whole point of a profile you own.

Payment

Checkout happens through a secure Square link on your own screen. Spling never sees your card.

The connector is in build. The waitlist gets it first.

What comes after the connector

None of this is live yet. It’s written down here because it’s what the architecture is being built to allow, and we’d rather be held to a published list than quietly ship less.

Want one of these sooner than the others? Tell us at hello@spling.org — it moves the order we build in.

For merchants

Running a restaurant on Square? You’re already compatible. Orders arrive in your point of sale as ordinary, exact tickets — nothing to install. Questions: hello@spling.org