Technology
Voice intelligence for hands-on professions.
Where the work happens, most knowledge is spoken, and most of it stays unstructured.
Scrypa turns spoken work into structured documentation, in the moment of the task, hands-free, in the terminology of each field.
Behind it is a chain of specialised steps: robust speech recognition, domain-specific language understanding, structuring into typed fields, review and release by the professional, and automatic hand-off into the target system already in use.
The technical pipeline
From speech to documentation, six layers.
Each layer is specialised for one task. Together they lead from the spoken word to a finished entry in the right system.
Hands-free speech at the place of work, in full sentences or keywords, even offline and with background noise.
Capture in the moment of work, not at the computer at night.
Robust speech recognition turns the spoken word into text, built for loud, real-world working environments.
Speech recognition beyond quiet dictation conditions.
Terminology, values, scales, quantities, units and named entities are recognised and assigned a type.
Domain terminology instead of generic dictionary hits.
Content is mapped to the right fields, sections and cases, instead of ending up as an unordered block of dictation.
Text becomes fields, reports and cases.
The structured result is shown before transfer. The professional reviews, completes and releases every entry.
Human-in-the-loop: responsibility stays with people.
The released documentation is written automatically into the industry system already in use.
Integration instead of a system change.
Language understanding
How Scrypa understands the language of the work.
Documentation does not happen in rigid voice commands, but in connected, spoken work. That is what Scrypa is built for.
Long-form speech
Documentation happens in full sentences over minutes, not in single commands. Scrypa understands connected, spoken work and how it unfolds.
Domain terminology
Terms, abbreviations, scales and named entities of each field are recognised and written correctly, from nursing to construction.
Noise-robust capture
Recognition is built for loud, real environments and stays stable with background noise at the bedside, in the workshop or on the site.
Offline-tolerant
Recording works even without a connection. Synchronisation happens automatically as soon as a network is available again.
Field mapping per business
The structured result is mapped to the fields of your system. The mapping is set up per business, without a system change.
Human-in-the-loop
Every transfer is preceded by release from the professional. The expert judgement stays with people, Scrypa provides the draft.
Why structured capture
Finally know where the time goes, instead of searching for it.
You already know a lot of time goes into documentation. The real question is where exactly, and what can be changed about it. Many businesses work with reports and spreadsheets and still cannot say why time is missing at the end of the day. Others run almost blind, with nothing beyond the day's output.
The result is the same: decisions are made on assumptions, incomplete impressions, or the loudest voice in the room. And the gap between where you are and where you need to be stays open.
Using privacy-preserving voice processing, Scrypa continuously captures what is really said and done at work, and turns it into structured, usable documentation, right where it is needed.
Not by replacing people. By finally making clear what matters, deployed within weeks, without disrupting operations.
Foundation
Built on real practice, EU infrastructure and research.
The technology is not built in the lab alone, but together with the people who document every day.
EU data handling
Processing and storage within the EU, GDPR compliant. No data transfer to third countries, not even during speech processing.
Domain expertise
Terms, fields and reporting structures are developed together with practitioners in each field, not as a generic template.
Speech and language-model research
Scrypa combines robust speech recognition with structured language understanding, so the spoken word reliably becomes typed data.
From real deployments
Terminology and field mapping are sharpened in pilots under real conditions, in the residential unit, the practice and on the building site.
See the technology on your own workflow.
In a short demo we show how your spoken work becomes structured documentation, straight into your system.