Optimization
Bayesian and multi-objective optimization
- Gaussian process optimization with uncertainty-aware recommendations
- Multi-objective strategy support for competing scientific outcomes
- Constraint-aware search inside real experimental bounds
Features
A scientific optimization platform, not a generic dashboard
AcquiLAB connects analysis, optimization, and AI workflows into one coherent operating surface for research teams.
Scientific analysis
From raw file to quantitative signal
- Structured ingestion across spectroscopy and analytical workflows
- Automated extraction of objective-relevant metrics
- Standardized output ready for optimization and reporting
Assistant
Plans first, runs only what you approve
- Answers grounded in your project data and the literature
- Proposes a plan; nothing runs until you approve it
- Answers are labelled AI-generated and use credits
Scientific workflows
Purpose-built modules for iterative science
Each surface is designed to reduce friction between experiment execution, result interpretation, and next-step planning.
Analyzer workbench
Unify routine method execution and quality checks across techniques.
Plot Studio
Generate clean, publication-ready scientific figures from run outputs.
Experiment tracking
Track objective progression and compare candidate trajectories.
Traceable records
Consistent workflow patterns and traceable experiment records.
Explore the full platform with your own workflows
Start free with Analyze, Plot Studio and Standard Bayesian optimization. AcquiLAB is in beta.
Start free