Artificial

Artificial helps clinical labs automate and manage workflows with an AI-powered platform for streamlined lab operations and diagnostics.

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Artificial is a next-generation workflow automation platform built specifically for clinical and diagnostic laboratories. It enables labs to digitize, automate, and manage their end-to-end operations—from sample intake to result reporting—using an intuitive, AI-enhanced interface.

Designed for scalability, Artificial’s aLab Suite integrates seamlessly with existing lab systems (like LIMS and instruments), helping labs optimize throughput, reduce turnaround times, and maintain compliance. With AI-driven orchestration and a modular platform architecture, Artificial empowers laboratories to improve productivity, ensure data accuracy, and adapt quickly to changing testing demands.

Whether you’re a startup lab or a global diagnostics organization, Artificial provides the infrastructure needed to run modern, connected lab operations.

Features

aLab Suite
A comprehensive operating system for labs that brings together workflow automation, scheduling, data integration, and process control.

Lab Workflow Designer
Create and manage end-to-end lab workflows through a visual builder—no coding required.

AI-Powered Orchestration
Intelligent agents manage task routing, optimize scheduling, and handle exceptions automatically.

Integration with Instruments & LIMS
Artificial connects with lab instruments, LIMS, ERP systems, and other infrastructure via APIs and protocol adapters.

Sample & Data Tracking
Track samples, reagents, and associated metadata in real-time across the lab’s digital and physical processes.

Real-Time Monitoring
Dashboards provide visibility into workflow status, instrument availability, and test queue backlogs.

Compliance and Quality Management
Maintain audit trails, document control, and SOP enforcement for CAP, CLIA, ISO, and FDA-compliant labs.

Collaborative Interface
Role-based access and collaboration tools for lab staff, supervisors, and data scientists.

Flexible Deployment Options
Available via secure cloud or hybrid deployments to meet data sovereignty and IT requirements.

Automated Reporting
Generate reports, alerts, and documentation for stakeholders or regulators, with configurable templates.

How It Works

Artificial enables labs to create digital workflows that orchestrate people, instruments, and systems in harmony. Here’s how it works:

  1. Define Workflows
    Use the drag-and-drop Workflow Designer to configure sample flows, test procedures, and instrument interactions.

  2. Connect Systems
    Integrate Artificial with existing LIMS, lab devices, and IT infrastructure to create a unified data and command layer.

  3. Automate Task Management
    Artificial’s orchestration engine dynamically assigns tasks to available instruments or users and manages handoffs.

  4. Monitor in Real-Time
    Gain visibility into lab operations through dashboards showing task status, turnaround times, and bottlenecks.

  5. Optimize and Scale
    Refine workflows based on analytics, add new test types, and scale operations without increasing manual workload.

Artificial turns laboratories into fully connected, data-driven environments capable of meeting modern diagnostic demands.

Use Cases

Clinical Diagnostics Labs
Automate routine testing procedures and manage high volumes of COVID, PCR, or genetic tests efficiently.

Biotech and Research Labs
Enable traceable and compliant data workflows for experimental assays and R&D pipelines.

Reference Labs
Improve TAT (turnaround time), reduce manual errors, and scale operations through orchestrated automation.

Startup Labs
Digitize operations from the ground up with modular workflows, allowing lean teams to scale without overhead.

High-Throughput Environments
Coordinate instruments and staff for processing thousands of samples daily with maximum efficiency.

Pricing

Artificial does not publicly disclose standard pricing. Pricing is typically customized based on:

  • Size of the lab and daily sample volume

  • Required integrations (LIMS, instruments, databases)

  • Number of users and teams

  • On-premise vs. cloud deployment

  • Compliance and reporting needs

To receive pricing or request a personalized demo, interested labs can contact the Artificial team directly.

Strengths

Purpose-Built for Labs
Unlike general workflow platforms, Artificial is tailored specifically for lab environments, procedures, and regulatory demands.

AI-Enhanced Orchestration
Automates dynamic decision-making and exception handling without manual oversight.

End-to-End Integration
Connects every part of the lab—from sample reception to report delivery—in a unified digital ecosystem.

User-Friendly Interface
Designed for lab professionals, not just developers. Enables rapid workflow deployment and configuration.

Audit-Ready Operations
Meets the documentation and traceability standards of CLIA, CAP, and ISO-accredited labs.

Scalable and Modular
Adaptable for labs of all sizes, with features that grow as your lab scales.

Drawbacks

Lab-Specific Focus
The platform is highly specialized for diagnostic and clinical labs, making it less relevant for non-lab use cases.

No Public Trial
There is no self-service signup or public sandbox environment for evaluation; all access is demo-based.

Requires Initial Setup and Integration
Full deployment may require coordination with IT teams and third-party LIMS providers for integration.

Limited Public Community Resources
Compared to open-source tools, there is a smaller public ecosystem for extensions or plugins.

Comparison with Other Tools

Artificial vs. Tecan FluentControl / Hamilton VENUS
Traditional lab automation tools focus on instrument control. Artificial adds workflow intelligence and orchestration across people and systems.

Artificial vs. LabWare / LabVantage (LIMS)
LIMS are primarily data repositories. Artificial acts as an orchestration layer on top of or alongside LIMS to enable automation and real-time control.

Artificial vs. Benchling
Benchling targets biotech R&D and ELNs. Artificial focuses on clinical-grade workflows and operational automation.

Artificial vs. Apache Airflow / Zapier
General automation platforms lack the domain expertise and compliance controls needed for regulated lab environments.

Customer Reviews and Testimonials

Artificial has received praise from diagnostic labs and biotech companies for enabling intelligent lab operations:

“Artificial helped us go from zero to full automation in under three months. We process more samples with fewer errors.”
— Director of Operations, Clinical Diagnostics Lab

“It’s the nervous system of our lab. Every process, every team member, every device is orchestrated and visible.”
— Head of Lab Engineering, Biotech Firm

“Without Artificial, we’d still be manually coordinating hundreds of samples daily. Now it’s all automated and traceable.”
— Lab Manager, High-Throughput COVID Lab

Case studies and further testimonials can be requested directly through the sales team.

Conclusion

Artificial delivers the modern infrastructure that clinical and diagnostic labs need to scale efficiently, remain compliant, and optimize workflows. With a platform built from the ground up for lab automation, Artificial offers AI-enhanced orchestration, real-time monitoring, and seamless integration with lab tools—all within a user-friendly environment.

Whether you’re looking to digitize operations, accelerate testing throughput, or ensure compliance in a regulated industry, Artificial provides the technology foundation to transform your lab into a fully orchestrated and data-driven operation.

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