Voice note in. Invoice and payment link out. No app to download, no workflow to learn. Forward a voice note to a single contact and receive a structured invoice with a payment link in seconds.
Maridian operates inside the messaging thread your business already uses. Nothing to install. No new interface. The entire workflow happens in a conversation.
A buyer sends a voice message with an order, a service request, or payment terms. English today, with multilingual expansion underway.
Forward the voice note to your Maridian contact. One tap. No typing, no data entry.
Maridian returns a structured order summary. If any money field is uncertain, the system asks for confirmation. It does not guess.
A professional PDF invoice and a payment link are generated and delivered in the same thread. Payment settles through Stripe, M-Pesa, PIX, or local rails.
Maridian processes trade speech across languages, accents, and noisy environments.
The Smart Contact handles the workflow. The Intelligence API handles extraction. Together they convert commercial speech into invoices, payment instructions, and portable trade records.
A messaging-native contact that converts speech into structured business documents. Invoices, payment links, and records are generated without leaving the conversation. No change in user behavior required.
An extraction engine that enterprises license to process commercial speech across dialects, slang, and code-switching at scale.
Select a scenario. Watch Maridian process a voice note into a structured invoice with a payment link. Then switch languages to see how the engine handles multilingual trade speech.
| Portland Cement 94lb bags × 50 | $700 |
| Plywood 1/2” CDX 4×8 sheets × 24 | $1,008 |
| Total | $1,708 |
Standard speech models train on clean audio: news broadcasts, audiobooks, studio recordings. Commercial speech is different. It mixes languages mid-sentence, carries background noise, and uses local shorthand for prices and quantities.
Commercial speech mixes languages mid-sentence. Swahili and English in Nairobi. Portuguese and regional slang in São Paulo. Pidgin in Lagos. The engine is built for this reality, not the monolingual ideal.
Trade does not happen in quiet rooms. It happens in markets, on construction sites, next to running engines. The extraction models are trained on the acoustic conditions where orders are actually placed.
A commercial speech dataset that does not exist in the public domain. Every confirmed transaction sharpens the model. This data cannot be scraped from the internet. It can only be earned through deployment.
Every AI system encounters uncertainty. Maridian is designed so that when uncertainty arises on a money field, the system stops and asks. Only confirmed data enters an invoice.
This is not a feature. It is the primary safety protocol.
If AI confidence on any price, quantity, or amount falls below 97%, the system triggers a verification prompt. The user confirms or re-records. No exceptions.
Wherever trade runs on voice notes and payments move through mobile rails, Maridian converts speech into structured invoices. Deployment starts in English-speaking wholesale corridors and expands across the Swahili Belt, Latin America, and beyond. New languages are configuration changes, not rebuilds.
Wholesale operators in Houston, Miami, and Minneapolis. Cross-border trade conducted through messaging and voice notes.
Swahili/Sheng trade speech. M-Pesa rails. eTIMS compliance pressure creating digital invoice demand.
Primary Swahili hub. Kariakoo wholesale markets. Highest voice-note ordering density in the region.
“Zap Zap” economy. 4x more voice messages than any other country. PIX instant payments with 56% B2B growth.
Pidgin trade speech. Mexico remittance corridor. The engine is language-agnostic. New dialects are datasets, not rebuilds.
Banks, telcos, and logistics companies spend millions building software that still cannot understand customers speaking at full speed in local dialects. The Multilingual Intelligence API solves that problem.
Automate customer service and fraud detection for customers who speak in vernacular. Reduce cost-to-serve on voice channels by processing what the customer is actually saying.
Convert voice-based dispatch communications into structured route and delivery instructions. Replace manual transcription of driver voice notes with automated extraction.
Index and search audio archives at scale. Call center recordings, field operations audio, and broadcast media become queryable structured data.
Early access is open for wholesale operators and distribution businesses. Starting with English-speaking markets and expanding globally.