Artificial develops a lab automation platform that digitizes and orchestrates laboratory workflows by integrating hardware, software, and personnel through the Artificial Cloud. This platform enhances operational efficiency by automating data capture, optimizing scheduling, and providing real-time guidance, thereby reducing errors and training times while increasing throughput.
Funding
$21.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MMFounders
Product
Problem
Life science laboratories face challenges in integrating and automating complex workflows, leading to data silos, manual errors, and inefficient resource utilization. Existing solutions often lack the flexibility to adapt to evolving experimental needs and fail to provide real-time guidance for lab personnel.
Solution
Artificial provides a lab automation platform that digitizes and orchestrates laboratory workflows by integrating hardware, software, and personnel through the Artificial Cloud. The platform enables end-to-end workflow orchestration and optimization via the LabOps Scheduler. By creating a Digital Twin of the lab, Artificial provides a digital foundation for guiding users and structuring lab data. The platform enhances operational efficiency by automating data capture, optimizing scheduling, and providing real-time guidance, thereby reducing errors and training times while increasing throughput.
Target Audience
The primary customers are life science laboratories seeking to automate and optimize their workflows, improve data quality, and increase operational efficiency.
Features
- LabOps Scheduler for request submission, batching, and scheduling based on operational constraints
- Digital Twin creation for a digital representation of the lab environment
- Interactive digital guides for manual tasks to improve operator experience and capture input data
- Workflow builder to develop and test end-to-end workflows connecting instruments and personnel
- Real-time data logging and consolidation into a compliant and AI-ready data record
- Remote observability for monitoring and running workflows
- Automated data capture to eliminate time-consuming data entry tasks
- Integration with lab hardware and software