The Self-Driving Biomaterials Lab
MetaLab is an autonomous formulation system for chemistry and biomaterials science. It connects experiment design, execution, and learning into a continuous closed-loop process.
From manual iteration to autonomous discovery, reducing time from chemistry to product.
From Manual Formulation to Autonomous Discovery.
Traditional formulation depends on manual preparation, isolated experiments, and slow iteration. MetaLab replaces this with structured workflows that continuously design, execute, and refine experiments.
Geneva Wheel Platform
A precision formulation system inspired by the Geneva mechanism, enabling controlled, step-wise experimental execution. The platform indexes through reagent combinations with mechanical accuracy, ensuring each formulation variant is prepared under consistent conditions for reliable, reproducible results.
Autonomous Workflows
End-to-end formulation cycles that run with minimal manual input. From ingredient dispensing to mixing and sample analysis, each workflow is orchestrated by software, reducing human error and freeing researchers to focus on higher-level experimental strategy rather than repetitive bench work.
Autonomous Formulation. Adaptive Execution.
MetaLab combines precision hardware with embedded decision systems to run, evaluate, and refine experiments continuously.
Autonomous Formulation Lab
Executes structured experimental plans with minimal manual input.
Geneva Wheel Platform
Deterministic, high-precision formulation and sequencing.
Closed-Loop Experimentation
Continuously updates formulation strategy based on results.
Multi-Objective Design Space
Optimizes across performance, cost, stability, and other constraints.
LLM-Assisted Interpretation
Transforms experimental outputs into structured insights and decisions.
Full-Stack Integration
Connects directly with Loominus and BioLoom for downstream execution.
Bayesian Optimization & Active Learning.
MetaLab uses probabilistic optimization and active learning to navigate complex formulation spaces efficiently and reduce the number of experiments required.
Multi-Objective Bayesian Optimization
Guides experiments toward optimal trade-offs across key variables.
Active Learning
Selects the most informative next experiment to accelerate convergence.
MetaLab is not a tool for analyzing experiments.
It is a system for running them.
From Chemistry to Product in One System.
MetaLab operates as the formulation layer of the BLI system. It designs and executes experiments, learns from outcomes, and transfers optimized parameters directly into fabrication.
Together with Loominus and BioLoom, it creates a continuous loop from chemistry to physical product.
- Loominus orchestrates experimental design and execution
- MetaLab runs autonomous formulation cycles
- BioLoom translates formulations into physical builds
- Feedback continuously refines results across all layers
Full-Stack System Architecture
BLI's integrated architecture connects every layer of the formulation pipeline. Loominus handles experimental design and orchestration at the top, MetaLab executes autonomous formulation cycles in the middle, and BioLoom translates validated formulations into physical product builds at the base. Data flows continuously between layers, creating a closed feedback loop that accelerates discovery and ensures consistency from concept through production.
Acquire or Lease MetaLab.
Available for purchase or lease through Loominus Pro. Includes installation, maintenance, and integrated system access.
Enterprise MetaLab
Custom
custom configuration
Includes hardware, Loominus integration, and closed-loop formulation workflows.
Understanding MetaLab.
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Deploy MetaLab in Your Lab.
Accelerate formulation with closed-loop experimentation and system-level integration.