Voice-enabled Field Services & Maintenance
We provide the most accurate voice technologies to enhance your field services professional tools. Fill technical reports with voice, improve field data collection and grant smart support to your deskless workforce.
Improved industry workflows
Adopt voice-enabled workflows in your field operations
Enhance the field data collection and inspection with a hands and eyes free voice-based reporting solution.
Voice can seamlessly be embedded into your corporate solutions (apps, devices…), regardless of the software foundations.
Today’s Enterprise Resource Planning (ERP) softwares (FSM, EAM, CMMS…) can increasingly benefits from voice in terms of efficiency and safety.
Discover a detailed use cases about voice-based intervention report
The solution allows technicians to fill in field information faster, with a standardized accuracy and quality, while keeping their focus and capacities on the operation they are proceeding.
Available Features
How to leverage voice technologies in field services?
Field Reporting
High accuracy voice data collect.
Hands and eyes free speech recognition solution to fill in field reports while operating.
Maintenance
Real-time voice assistance.
Complete maintenance team support thanks to voice AI giving instructions and feedbacks.
Assisted Inspection
Step-by-Step inspection workflow.
Improved enterprise asset management by providing voice assistance that enhances safety and efficiency.
Adopting voice AI in your business starts here
Get in touch with our team to shift your company in the Voice First world.
Resources
Why is our technology perfectly suited for the field services and maintenance operations
Cross-platform software
With most Field Service Management (FSM) systems and other industry-ERP (EAM, CMMS and such). VDK’s techno works seamlessly with a wide range of field workforce technologies and devices and integrates with your current solutions.
An interesting thing to know is that VDK’s technologies are already enabled in most smart glasses and professional devices (android based…) today and to come.
On-device processing
All voice technologies within our stack are running on the device thanks to lightweight software designs. This embedded features allow the voice-enabled solutions to :
- Work perfectly in remote location with poor to no internet connection.
- Protect corporate data by avoiding requests to remote cloud servers.
- Reduce service latency to 0 since processing rely solely on the devices’ capabilities.
For developers, by developers
Start developing your voice AI solution with the VDK
1
Sign up to request a free trial
Share your information to access the VDK's evaluation.
2
Develop and test your use cases
Design, create and try all of your features.
3
Export and integrate
Available for Windows, Android or Linux devices.
Good morning, Guten Tag, Bonjour, Bom Dia, Buongiorno…
As we already said, language support is not a problem
English
Swedish
Indonesian
Thai
French
Russian
Dutch
Norwegian
Italian
Portuguese
Korean
Polish
German
Arabic
Danish
Ukrainian
Spanish
Hindi
Greek
Turkish
Japanese
Mandarin
Hebrew
Malay
Technical requirements
Key specifications to use the VDK
| Language count | 41 |
| Model + Resource Size | 6 to 15MB |
| SDK Code Size | 10 to 65MB |
| Platform supported |
Windows – x86_64 Linux – x86_64 | armv7hf | armv8 Android 6.0 (API 23) |
| Hardware supported | MPU |
| Language count | 41 |
| Model + Resource Size | 6 to 15MB |
| SDK Code Size | 10 to 65MB |
| Platform supported |
Windows – x86_64 Linux – x86_64 | armv7hf | armv8 Android 6.0 (API 23) |
| Hardware supported | MPU |
| Language count | 5 |
| Model + Resource Size | 30 to 50MB |
| Platform supported |
Windows – x86_64 Linux – x86_64 | armv7hf | armv8 Android 6.0 (API 23) |
| Hardware supported | MPU |
| Language count | 65 |
| Model + Resource Size | <1MB up to 500MB per voice depending on the quality |
| SDK Code Size | 5 to 65MB |
| Platform supported |
Windows – x86_64 Linux – x86_64 | armv7hf | armv8 Android 6.0 (API 23) |
| Hardware supported | MPU |
| Language count | Agnostic |
| Model + Resource Size | <1MB to 20MB |
| SDK Code Size |
<1MB = 50KB / User registered 20MB = 5KB / User registered |
| Platform supported |
Windows – x86_64 Linux – x86_64 | armv7hf | armv8 Android 6.0 (API 23) |
| Hardware supported | MPU |
| Language count | Agnostic |
| Model + Resource Size | None |
| SDK Code Size | 3MB |
| Platform supported |
Windows – x86_64 Linux – x86_64 | armv7hf | armv8 |
| Hardware supported | MPU |
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