What your operators say, turned into action.
SaidText converts voice communications from the field into structured tickets and real-time operational intelligence — no forms, no manual reporting, no lost information.
In daily use on factory floors and in the field
On the floor, the most important information is spoken — and then it's gone.
In industrial and field environments, most operational knowledge moves by voice: a problem flagged on a line, a status passed between shifts, a fix described to a colleague. Almost none of it gets captured. Operators lose time to manual messaging and reporting, decisions wait on information no one wrote down, and recurring issues stay invisible because nothing tracks them.
Spoken information disappears.
What isn't typed into a system is lost.
Reporting steals time.
Operators spend hours on messaging and forms instead of the work itself.
No structure, no decisions.
Without structured data, problems can't be prioritized, escalated, or predicted.
Three steps, no typing.
Speak
Operators capture communications hands-free by voice, on mobile, from the floor or the field. No typing, no forms.
Structure
AI transcribes each message and turns it into structured data: a categorized, prioritized ticket with the right tags, severity, and context.
Act
Tickets route to the right people in real time. Managers get a live view of what's happening, what's urgent, and what keeps recurring.
What's inside.
Voice-to-text capture
Hands-free recording and transcription, with full historical traceability.
AI structuring & prioritization
Communications become structured tickets, automatically categorized and prioritized by urgency, context, and keywords.
Real-time dashboard
A live operational view with filters, KPI tracking, and analytics: what's open, what's escalated, what keeps recurring.
Mobile app
Instant voice capture and team voice chat, built for the floor and the field.
Enterprise integration
Native connection to existing ERP and CRM systems for centralized communication and task management.
Intelligence layer (Hu3)
An LLM-based operational copilot that builds an automatic operational log, surfaces issues proactively, and turns accumulated voice data into recommendations.
What teams see after deploying SaidText.
Less time on administrative work
Faster operational response
Fewer errors from untracked communication
A searchable record of everything that happens on the floor
Typical results reported by early adopters. Outcomes vary by deployment and are not independently audited.
Built for operations that run on the floor.
From capturing voice to understanding operations.
SaidText started by making spoken communication impossible to lose. The next layer, Hu3, uses large language models to read across accumulated voice data — building an automatic operational diary, flagging criticalities before they escalate, and giving teams decision support grounded in what's actually happening on the floor.
Why teams trust SaidText.
- Forward Factory (CDP Venture Capital)
- Google for Startups Cloud Program
- MADE Competence Center Industria 4.0
- OpenAI
- Google Cloud
- AWS
Deployed in manufacturing, marine, and field-service operations.
About SaidText.
SaidText builds voice-to-intelligence software for industrial and field operations, founded by Emanuele Pedrona and accelerated by Forward Factory (CDP Venture Capital). The team brings together product, AI, operations, and go-to-market expertise.
See SaidText on your operations.
Request a demo and we'll show you how voice becomes structured, actionable data in your environment.
Request a demo