Autonomous Laboratory
Platform 2025

Next-generation autonomous experimentation system powered by AI-driven orchestration, closed-loop optimization, and real-time laboratory automation.

View Dashboard Learn More

Platform Overview

ALP is an intelligent laboratory management system that combines AI-powered experiment planning, automated execution, and comprehensive data analytics.

Autonomous Experimentation

AI-driven campaign management with automatic experiment generation, execution, and iterative optimization through closed-loop discovery.

AI Model Integration

Bayesian optimization and active learning models predict optimal parameters, reducing experiment count while maximizing discovery efficiency.

Recipe-Based Protocols

Define reusable experimental protocols with step-by-step procedures that can be executed across multiple devices and experiments.

Device Orchestration

Unified interface for managing robots, sensors, and instruments with job queuing, priority scheduling, and real-time status monitoring.

Inventory Tracking

Automated material consumption logging with real-time stock levels, batch tracking, and alerts for reagents and consumables.

Real-Time Analytics

Live sensor data streaming, event logging, and comprehensive dashboards for experiment monitoring and performance visualization.

Core Capabilities

End-to-end laboratory automation from planning to execution

01

Project & Campaign Management

Organize research into hierarchical projects and campaigns. Define experimental goals, constraints, and success criteria. Track multiple campaigns simultaneously with iteration-based progress tracking.

Intelligent Experiment Design

AI models analyze historical data to suggest optimal experiment parameters. Adaptive learning adjusts strategies based on results, with confidence scoring for predicted outcomes.

02
03

Automated Execution

Job queue system manages device operations with priority handling. Parallel execution across multiple instruments. Automatic error recovery and notification system.

Comprehensive Data Capture

Time-series sensor data with high-frequency logging. Event-based device command logging. Support for large binary data (spectra, images) via file storage with metadata indexing.

04
05

Multi-Organization Support

Secure tenant isolation for multiple research groups. Role-based access control (Admin, Researcher). Per-organization device, inventory, and project management.

System Architecture

Built on modern, scalable technologies for reliability and performance

NODE

Node.js Backend

RESTful API with Express.js for high-performance request handling and real-time event streaming.

SQL

MySQL Database

Relational data model with JSON support for flexible parameter storage and complex querying.

ULID

ULID Identifiers

Lexicographically sortable unique IDs for distributed systems and time-ordered data tracking.

AI

ML Integration

Bayesian optimization and property prediction models for intelligent experiment planning.

  

Experiment Workflow

From concept to discovery: the ALP experimental lifecycle

1

Setup Phase

Admin: Register organization, users, and devices
Researcher: Configure inventory and create project

→
2

Design Phase

Researcher: Define recipes and launch campaign
AI Model: Suggest optimal parameters

→
3

Execution Phase

System: Create job queue and execute runs
Devices: Perform automated operations

→
4

Collection Phase

Sensors: Capture environmental data
System: Log events and material consumption

→
5

Analysis Phase

AI Model: Analyze results and predict next iteration
Researcher: Review data and refine strategy

System Actors

Admin

System configuration, user management, device registration

Researcher

Experiment design, campaign execution, data analysis

System

Job scheduling, event logging, automated workflows

Device

Physical equipment execution, status reporting

Sensor

Environmental monitoring, time-series data capture

AI Model

Parameter optimization, result prediction, inference

Dashboard Preview

Real-time experiment monitoring and analytics

ALP Dashboard - Electrolyte Optimization Experiment
Real-time performance tracking
Detailed iteration results
Live device status
Parameter space visualization

Application Domains

Accelerating discovery across scientific disciplines

Materials Science

Automated synthesis parameter optimization, property prediction, and high-throughput screening

Chemical Synthesis

Reaction condition optimization, yield prediction, and automated protocol execution

Drug Discovery

Formulation optimization, stability testing, and combinatorial library screening

Energy Storage

Battery electrolyte optimization, performance characterization, and cycle life testing

Ready to Transform Your Laboratory?

Join the autonomous experimentation revolution with ALP

Get Started View Demo