Ascenscia - Speak with your lab's data

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

Contact for Pricing

Home: https://www.ascenscia.ai

Productivity

#laboratory
#Voice Assistant
#scientific research
#Workflow Automation
#data collection
#Inventory Management

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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.