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Ascenscia
Speak with your lab's data - it's 5x faster

What is Ascenscia?

Ascenscia is a specialized AI voice assistant that revolutionizes laboratory workflows by enabling seamless voice-controlled interactions with lab software and equipment. The platform features advanced speech recognition technology with 97% accuracy in understanding complex scientific terminology, while maintaining end-to-end encryption for data security.

The system supports multiple languages and offers customizable solutions to adapt to specific laboratory workflows. It integrates with various Electronic Lab Notebooks (ELN) and laboratory management systems, enabling scientists to automate data collection, optimize workflows, and accelerate research and development cycles.

Features

  • Voice Recognition: 97% accuracy rate in understanding scientific terminology
  • Data Security: End-to-end encryption with no data storage
  • Multi-lingual Support: Operations in 5 different languages with translation options
  • Customization: Tailored voice assistant adaptation to specific lab workflows
  • Data Accessibility: Voice-commanded access to lab data and workflows
  • Inventory Management: Voice-controlled sample location and tracking
  • Automated Data Capture: Structured data collection during experiments
  • Task Automation: Timer setting and calculation assistance

Use Cases

  • Laboratory data collection and documentation
  • Hands-free experiment protocol navigation
  • Scientific inventory management
  • Research workflow optimization
  • Multi-language laboratory collaboration
  • Electronic Lab Notebook (ELN) integration

FAQs

  • What languages does Ascenscia support?
    Ascenscia operates in 5 different languages and includes translation options to facilitate international team communication.
  • How secure is the data handling?
    Ascenscia uses end-to-end encryption for data flow between scientists and lab systems, with no data storage and optional on-premise deployment.

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Ascenscia Uptime Monitor

Average Uptime

100%

Average Response Time

176 ms

Last 30 Days

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