Software-defined experimental systems designed to connect scientific reasoning, simulation, physical execution, measurement, and iterative learning.
A continuous loop connecting computational modeling and simulation with physical experimentation and structured observation.
Establish target experimental criteria, candidate constraints, molecular or formulation property envelopes, and campaign boundary conditions.
Multi-cell architecture enables simultaneous exploration of independent experimental parameter spaces under continuous software coordination.
Multiple experiments can progress simultaneously across independent physical cells.
Experimental workflows can be configured around the scientific objective.
Measurements can inform subsequent experimental decisions in real time.
Experimental capacity can expand through independent cells.
Representative scientific workflows designed to connect computational modeling with structured physical experimentation.
Explore reaction conditions and experimental parameter spaces.
Designed for stoichiometric screening, catalyst evaluation, temperature profiles, and yield optimization.
Run structured formulation and stability experiments.
Potential applications include buffer screening, excipient compatibility, thermal stress assessment, and solubility mapping.
Evaluate labeling, conjugation, chelation, and formulation strategies.
Potential workflows include radiolabeling condition exploration, conjugation parameter optimization, and chelation screening.
Iteratively refine experimental conditions and protocols.
Potential applications include multi-point kinetic curves, reagent titrations, and automated protocol normalization.
Explore crystallization, photochemistry, polymers, and related experimental spaces.
Designed for photochemical condition screening, polymer variations, and controlled crystallization exploration.
Bridging scientific reasoning and physical experimentation through three conceptual tiers.
Scientific models, knowledge, and reasoning
Simulation, prioritization, and experiment selection
RIG-RACK modular experimental cells
“Symbio is building systems that connect computational intelligence with physical experimentation, creating a path toward increasingly autonomous scientific discovery.”