Spix For Report Meeting
The Voice-AI solution
100% dedicated to technical note-taking by voice
in an industrial context
Sovereignty / Confidentiality / Financial efficiency
Spix For Report Meeting
100% dedicated to note-taking by voice for industry
Guaranteed end-to-end confidentiality
Internal server(on-premise) or isolated PC server(as docker)
Voice transcription and off-line analysis
On servers equipped with client-side GPUs or CPUs
Customer specialization
Possible integration of business lexicons
Adaptation to operational environments (noise, echoes, PPE)
Configure automatic synthesis for specific business needs
Intellectual property preserved
No use of an industrialist’s data to train other models
Business model adapted to the industry
Annual subscription per channel opened on the
server Fixed-price server maintenance
Independent of operating time
Work better, be more efficient, focus on what counts
Capture
Configure a hardware solution for audio recording
Capture audio notes by voice, anywhere, anytime
Control the confidentiality of your recordings
Analyze
Intelligent transcription of audio notes into text
Business structuring such as summaries, key actions, synthesis
End-to-end out-of-the-cloud operation: on your servers or isolated PCs
Operate
Project management, planning
Critical knowledge management
Feeding your statistical models
Feeding your LLMs with qualified field data
- Shop floor
- Office
- On the field
Input
Recording of the summary of the day’s tasks: pre-job briefing, instructions, safety information
Recording of successes and points for improvement for continuous improvement
Knowledge interviews, such as know-how, routines, work methods, etc.
Output
Capitalization of daily reports for continuous improvement
Generation of knowledge white papers
Identification of training needs
Analysis of changes in safety practices for continuous improvement
Input
Recording of confidential meetings, project progress, crisis management
Recording of HR interviews, salary or union negotiations
Interviews with engineering know-how, work methods and expertise
Output
Generation of meeting minutes, with speaker identification, summary structuring, novel writing.
Recording of critical minutes to prepare for future negotiations
Generation of knowledge white papers
Input
Opportunistic recording of safety, non-conformity and anomaly observations
Recording of on-the-fly inspection, field audit and surveillance mission reports
On-the-fly technical notes on the identification and resolution of machine or system breakdowns
Output
Generation of a report on a day’s field visit, with classification of anomalies and required actions
Generation of a report on a field visit, inspection or audit, with key points to remember
Generation of knowledge notes on an industrial site or machine as part of continuous improvement.
A Voice-AI solution dedicated to the industry
Robust material
No hardware device identification
128GB storage: 1,000 times 30 minutes of storage*
High definition: 256 kbps (high recording quality)*
Operating format: .WAV (standard)
(*) if dedicated Spix hardware
Secure software
100% non-cloud installation: in-house server (including installation)
Available on PC isolated from the network
File and template management interface
No cross-contamination with other industrial data, no exploitation of data for other manufacturers
Expert services
Local control of software and hardware
Fine tuning to improve transcription performance
Creation of analysis models dedicated to specific professions
Adaptation to constrained environments: embedded, real-time, specific IT architectures
Hardware solutions for audio recording
No specific application to install, existing or dedicated hardware and secure
Existing equipment
Audio recordings supplied by the customer
via an existing device (meeting room)
via smartphone microphone
via export from internal videoconferencing solutions
SPIX recorder
No WiFi, no Bluetooth: guaranteed control of recorded data
Power and longevity: 500 hours of continuous recording, 5 days of autonomy
No hidden recording: all interlocutors can identify the recorder, guaranteeing informed consent
No telephone function : avoids pirate recordings in industry (hierarchy, colleagues)
Industrial profits
Focus on validation and exploitation of results
100% secure and out of the cloud
No data leaves the company
Sovereign solution
Development and technical expertise in France
Reduces reporting time
Eliminates note-taking, maximizes productive time
Cost control
Fixed annual costs, independent of transcription time
Adapted equipment
Existing or dedicated equipment
Competitive positioning
For equivalent technical performance, the difference is in financial efficiency and guaranteed confidentiality.
100% independent of Patriot & Cloud Acts
No data hosted or in transit on external servers, no connection to software/servers subject to extraterritorial laws
Unlimited transcription time
With Spix, there’s no limit! No transcription time metering, flat-rate annual billing per serverOPEX control for manufacturers
Confidential users and data
No login/password, no formal user identification, no reuse/merchanting of generateddata or templates
(*) The comparison with the solutions presented by Plaud.ai, Azure, Mistral Copilot or Gemini is indicative, commits the author only, and does not judge the intrinsic performance of the solutions mentioned.
How to evaluate the solution?
1- Fast & Free
Recording of non-confidential data at the customer’s convenience (no specific equipment required, except on request)
Deposit on SPIX‘s secure transfer server
Transcription and analysis on a voice transcription server identical to the one provided on the industrial site
Transfer of results and consultation/discussion meeting
2- On industrial sites
Appointments to ensure thatrequirements match product capabilities
Sizing, configuration and installation of a suitable voice transcription server (Docker on server or isolated PC)
Software(and potentially hardware) rental for 3 or 6 months on industrial site, with associated support
Consultation meeting at end of evaluation before deployment
