Ascenscia

Automate laboratory workflows and data recording with voice commands, freeing scientists to focus on high-value experiments and accelerating R&D cycles.
Laboratory Automation Voice Assistant Research and Development Optimization

Ascenscia is a custom-built AI voice assistant that integrates with laboratory software and equipment, allowing scientists to work hands-free and free up more time for high value experiments. Scientists can use voice commands to automate data recording, optimize workflows and accelerate R&D cycles.

Some of the key features include:

  • Data Accessibility: Use voice commands to navigate through laboratory workflows.
  • Data Capturing: Record experiment details without stopping work, with structured data capture.
  • Inventory Management: Use voice to access inventory data and find samples.
  • Additional Tasks: Use voice to perform secondary tasks like setting timers and doing calculations so you can focus on high value experiments.

The voice assistant has a 97% accuracy rate for understanding complex scientific terms. It uses end-to-end encryption and doesn't store any data. Ascenscia is multilingual, supporting five languages with translation options, and can be adapted to fit the unique workflow of a laboratory.

Ascenscia integrates with several electronic laboratory notebooks and other systems, including LabOperator, elabFTW, eLabNext, ResearchSpace, LabFolder and BIOVIA. Users can select which database to use, and the system will provide a structured view of completed work that can be easily edited and notes synchronized.

Ascenscia is for laboratories of all sizes and types, from academia to enterprise, and can support different levels of digitization. For those who are not using ELN, it can help with the transition to digital tools. For startups, it can help with operations and scaling. For academic and enterprise labs, it can help with data quality, publications and funding, while ensuring compliance and IP protection.

Ascenscia offers a free demo for those who want to see it in action. Users can download the app from the App Store or Play Store and connect their earpods to get started with the system. The three-step process involves connecting to lab data, performing experiments with voice prompts, and synchronizing notes for easy editing and tracking.

With voice technology in the lab, Ascenscia hopes to make scientific research more efficient, accurate and accessible.

Published on June 23, 2024

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