Lab Donkey SUITE orchestrates instruments and robots end to end, with deterministic scheduling, clear operator guidance, and audit-friendly traceability.
Connect any device | Recovery-first execution | Audit-friendly traceability | Cloud or on-prem
Explore the core capabilities that make Lab Donkey's automation platform reliable and flexible.
Design workflows visually (code optional) so scientists and engineers can build, edit, and iterate without turning every change into a software project.
Deterministic scheduling that respects priorities, timing windows, and resource limits.
Device-safe command execution with live state awareness and validated recovery.
Every action captured in plain language with full labware/sample lineage.
Add new instruments quickly with containerized, versioned drivers.
Run, monitor, and manage workcells from the cloud or on-prem. Both stay in sync automatically when connectivity changes.
Lab Donkey provides audit trails, role-based access, and export tools to support GxP validation; site validation remains customer-specific.
Add instruments, robots, and storage using drivers and connectors.
Design workflows visually (code optional) with clear tasks and handoffs.
Plan execution deterministically using timing windows, priorities, and resource rules.
Execute with live monitoring, traceable logs, and recovery paths when issues happen.
Modern labs need automation that keeps running when reality hits: changing workflows, mixed vendors, and inevitable failures.
Recovery-friendly execution and guided operator actions keep your lab running when issues arise.
An open driver model and vendor-neutral integrations let you grow without constraints.
Deterministic scheduling that respects timing windows and resource limits maximizes efficiency.
Plain language logs, lineage tracking, and run traceability keep you prepared for any review.
Guides people through bench work with step-by-step execution and run records.
Orchestrates instruments and robots end to end across the workcell.
Use either on its own, or combine both for full-lab execution and traceability.
Yes. SUITE supports cloud, on-premises, and hybrid deployments. Many labs keep device control close to the workcell while using centralized services for visibility, logging, and configuration.
SUITE is designed for recovery-first execution. When an instrument errors, SUITE records the event, surfaces what failed, and guides the next action (for example: retry, reroute to an alternate device when available, or safely pause and resume once the issue is resolved). The goal is to keep the run understandable and recoverable, not fragile.
It depends on the instrument and the interface (API, SDK, serial, or network protocols). In practice, we start by scoping the control surface you need (core commands, status, error codes), then deliver an incremental driver so you can begin testing quickly, and expand it as your workflow grows.
SUITE captures a clear event trail for each run: what was scheduled, what executed, what changed, and what failed. Logs are organized by workflow/run, device, and time, so teams can troubleshoot faster and maintain traceability without digging through scattered systems.
Yes. Teams typically validate workflows in stages: first by reviewing the planned schedule and task sequence, then by running safe "dry runs" on the workcell (for example, transport-only or waypoint testing), and finally by running full workflows once the integration is validated.
A typical start requires a deployment environment (cloud or on-prem), network access to instruments and robots, and a clear security boundary for where services and logs live. We work with your team to confirm connectivity, accounts/permissions, and any policies required for installation and operation.