Autonomous Research Operating System

Autonomous biological research, from intent to experimental reality.

Describe the molecule, protein, enzyme, or biological function you want. BioSphereer develops the evidence-backed research path—and continuously improves it with every result.

AI PLANNING · CONTROLLED EXECUTION · COMPLETE PROVENANCE

Abstract protein structure connected to a scientific evidence network
CAMPAIGN / BS-INS-0042AURA
Biological objective
Produce human insulin using yeastACTIVE
01 / COMPLETETarget defined
02 / COMPLETEEvidence mapped
03 / COMPLETEStrategies generated
04 / COMPLETEExperiments planned
05 / COMPLETEWorkflow scheduled
06 / OPTIMIZENext iteration
InputDesired biological outcome
SystemEvidence-backed campaign
ExecutionApproved laboratory workflow
OutputNext-best experiment

One connected system

A complete research system, not another laboratory dashboard.

BioSphereer connects scientific knowledge, planning, execution, analysis, documentation, and iteration in one visual research environment.

Biological objective

Turn natural-language intent into a measurable research target.

Scientific strategy

Connect evidence, assumptions, uncertainty, and candidate approaches.

Experiment design

Plan parallel campaigns around information gain and measurable progress.

Laboratory execution

Coordinate approved workflows across samples, devices, and schedules.

Research memory

Structure every result so it improves the next scientific decision.

Governance

Keep consequential actions controlled, explainable, and fully traceable.

The disconnect

Biological research remains fragmented.

Scientific context is distributed across publications, notebooks, spreadsheets, device software, analysis scripts, approvals, and human memory.

Traditional workflow

  1. Goal
  2. Literature
  3. Spreadsheet
  4. Manual experiment design
  5. Device software
  6. CSV export and report
VERSUS

BioSphereer research loop

  1. Goal
  2. Evidence
  3. Strategy
  4. Experiment
  5. Execution and analysis
  6. Learning and next experiment

Continuous research loop

Every experiment improves the next one.

The system connects the objective to evidence, strategy, execution, measurement, and a continuously optimized next decision.

01Describe outcome
02Define target
03Map evidence
04Generate strategy
05Run experiments
06Analyze results
07Select next

Goal Builder

Research begins with the desired biological outcome.

BioSphereer translates intent into target identity, function, quality criteria, host-system scope, priorities, constraints, measurements, and open uncertainties.

  • Natural-language target definition
  • Measurable success criteria
  • Confidence and uncertainty tracking
Explore the Research Workspace
GOAL BUILDERORIGIN / TARGET DEFINITION
What biological outcome do you want to create?
Produce human insulin using a yeast host
Optimization priorities
QualityReproducibilityYieldCostTime
HOST SYSTEMS. cerevisiae
REQUIRED EVIDENCEIdentity / quality / function
OPEN UNCERTAINTIES3 mapped
STATUSTarget defined

Physical execution

Scientific Engines extend into the laboratory.

AURA sequences the campaign while SENTINEL, FORGE, ORBIT, PULSE, and TRACE govern the bridge from an approved plasmid design to coordinated machinery execution.

  • DNA assembly compiled against validated capabilities
  • Robotic sample transfer and probe-handling schedules
  • Live telemetry, anomaly detection, and complete lineage
Explore laboratory orchestration
Bright automated yeast insulin workcell with DNA assembly, robotic sample transfer, probe handling, cultivation, analysis, and storage