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LiquidBridge

The digital twin for liquid handling robots

Simulate protocols before execution. Optimize with AI. Reduce reagent waste. LiquidBridge is the virtual lab environment that every bench scientist deserves.

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The Problem

Every failed liquid handling run costs reagents, time, and patience. Protocol development on physical robots is slow - trial and error with expensive consumables, limited instrument access, and no way to test edge cases without running the hardware. Scientists deserve a faster path from protocol idea to validated execution.

~20-30%

reagent over-dispensing from uncalibrated protocols

2-4 hrs

typical recovery time per failed liquid handling run

$500+

in consumables per wasted run

Based on industry data from American Laboratory and BioProcess International research on automated liquid handler error rates.

Platform Capabilities

Everything you need to simulate, optimize, and execute liquid handling protocols.

Protocol Simulation

Upload a liquid handling protocol and simulate it in a virtual environment before touching a single pipette tip. Catch errors, validate volumes, and predict outcomes - all before execution.

Visual Deck Editor

Drag-and-drop deck layout editor with real plate and labware models. Define your deck configuration visually, then simulate liquid transfers across the entire worktable.

AI-Powered Optimization

CrewAI agents analyze your protocols and suggest optimizations - fewer tip changes, better aspiration sequences, reduced dead volumes. Save reagents and time without sacrificing accuracy.

Multi-Vendor by Design

Not locked to one vendor. LiquidBridge wraps liquid-handler SDKs and standard protocols (SiLA 2) so you can model and drive instruments across vendors. Define protocols once, plug in the vendor SDK we evaluate per engagement.

How It Works

From deck layout to validated protocol in minutes.

01

Define Your Deck

Use the visual editor to lay out your worktable - plates, reservoirs, tip racks, and labware. LiquidBridge knows the geometry and constraints of each piece.

02

Build or Import Protocols

Write protocols in the built-in editor or import existing Hamilton, Tecan, or CSV-based workflows. AI agents can also generate protocols from natural language descriptions.

03

Simulate & Optimize

Run the protocol in the digital twin. Watch liquid transfers animate in real-time. AI agents flag issues - tip collisions, insufficient volumes, suboptimal sequences - before you waste a single reagent.

04

Execute with Confidence

Export the validated protocol to your robot. Every simulation run is logged with full traceability. Compare simulated vs. actual results to continuously improve accuracy.

Design partner engagements available

Run LiquidBridge on your liquid handler

LiquidBridge is the working AI-agent prototype we demo live in our first call - Claude Desktop + MCP + digital twin for a liquid handler. We deploy it as a productized engagement: agent-native MCP layer for your specific liquid-handler SDK, a digital twin of your deck, and the operator UI for plan-simulate-execute-approve. Source code yours from day one. Fixed price per engagement, scope you control.

Productized engagement - fixed scope, fixed priceOpen-source MCP layer (Apache 2.0 contributions)Source code yours

Frequently Asked Questions

A digital twin is a virtual replica of a physical liquid handling robot and its worktable. LiquidBridge lets you simulate protocols, validate volumes, and catch errors before running them on real hardware - saving reagents, time, and consumables.
LiquidBridge is vendor-neutral by design. It models any liquid-handler with a documented SDK or standards-compliant interface (SiLA 2). For each engagement we wrap the specific vendor SDK in front of us. The architecture supports mixed-vendor fleets in the same lab.
Industry data shows uncalibrated protocols cause 20-30% reagent over-dispensing. By simulating and optimizing protocols before execution, LiquidBridge helps eliminate failed runs that waste $500+ in consumables per attempt.

Stop wasting reagents on trial and error

Join the early access program and simulate your protocols before they touch the robot.

Book a Technical Call
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