Edge AI for Lab Robotics and Automation

NEPI is a plug-and-play platform that connects lab robotics, sensors, AI models and automation solutions.

NEPI handles the complex software work behind the scenes, letting scientists and lab teams focus on their experiments and automation workflows instead of coding.

Benefits for labs:

• Faster deployment: Stand up new instruments and workflows in days instead of months.

• Free researchers’ time: Let automation take over repetitive tasks so your team can focus on design, interpretation, and innovation.

• Reliable, scalable automation: Eliminate human error, scale experiments, and tighten reproducibility with NEPI’s integrated automation support.

Plug-and-Play Drivers: A library of sensor and robotics interfaces (cameras, liquid handlers, microscopes, acoustic sensors, robotic arms, etc.) that can be added without custom code.

Integrated AI & Automation Engine: Run pre-trained models for tasks like object detection, quality checks, or anomaly detection. Pair them with event-driven automation (e.g., if error detected → pause robot → alert operator).

Low-Code Customization: Use drag-and-drop tools or lightweight scripts to tailor workflows. Advanced users can dive deeper with Python or ROS.

Runs at the Edge: Works on compact, Linux-based hardware — install on your systems or get NEPI pre-installed on ready-to-use devices.

Automated Microscopy: Connect cameras on microscopes to AI models that identify and count cells in real time, flag anomalies, or even measure colony growth across plates.

Liquid Handling Quality Control: Use vision + AI to verify well plate volumes, detect bubbles or dropped samples, and trigger a robot stop or operator alert before errors propagate.

Environmental Monitoring: Integrate sensors on freezers, incubators, or CO₂ systems to detect anomalies, trigger backups, or send alerts instantly — preventing costly sample losses.

Sample Tracking and Label Verification: Combine cameras with OCR and AI to confirm barcodes or labels on vials and well plates, ensuring samples are routed correctly in automated workflows.

Contamination Detection: Apply AI-driven vision models to check for residue in pipette tips or contamination in well plates, helping labs maintain quality standards automatically.

Robotic Workcell Coordination: Use NEPI to connect multiple lab robots (e.g., plate movers, dispensers, and readers) and orchestrate them with AI-driven decision-making — ensuring smooth handoffs without custom coding.

Predictive Maintenance for Lab Equipment: Monitor acoustic or vibration signals from centrifuges, shakers, or robotic arms. NEPI can use AI models to spot early warning signs of failures and schedule maintenance before downtime occurs.