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CANARY ATLAS / EXPERIMENTAL CYCLE

A learning cycle anchored in experiments.

Connect target perturbation, cellular phenotyping, AI reasoning, and enabling delivery—with scientists reviewing each decision.

PERTURBATION, PHENOTYPING & REASONING

Connect every experiment to delivery.

Canary Atlas brings target activity, measured cellular response, and AI reasoning together with enabling delivery technology.

Change

Perturb target activity

siRNA and gene modulation.

Measure

Phenotype the response

Adipocytes and muscle.

Reason

Integrate the evidence

AI-assisted research and ChatGPT reasoning compare cellular results with human evidence.

Deliver

HYPER-15™ Active Fusion

Intended tissue-specific delivery.

Targets and enabling technology belong in the same development decision.

CHANGE · MEASURE · REASON · DELIVER

One next experiment.

Canary Atlas is designed around a repeated exchange between computational reasoning and physical measurements. The aim is to make each next experiment more informative and more closely connected to a deliverable program.

01 / Change

Perturb target activity using siRNA or gene modulation to investigate the proposed mechanism.

02 / Measure

Phenotype the response in adipocytes and muscle. Evaluate what changes in the cells, not simply whether a target was selected.

03 / Reason

Use AI-assisted reasoning to compare the measurements with human evidence and delivery criteria. Identify what the results support and what needs another test.

04 / Deliver

Evaluate the intended tissue-specific delivery approach with HYPER-15™ Active Fusion LNP and the requirements of the selected cargo.

SCIENTIST REVIEW

Advance. Hold. Reject.

Scientists review human signal, cellular response, and delivery evidence together. The next decision is grounded in the available measurements.

Advance

Move a supported hypothesis to the next experiment or development step.

Hold

Resolve uncertainty or obtain additional measurements before proceeding.

Reject

Stop pursuing a hypothesis when the evidence does not support the mechanism or delivery requirements.

PHYSICAL AI

Measurements feed the next cycle.

EvidenceReasoningScientist reviewExperimentUpdated evidence

New measurements feed back into Atlas so that subsequent reasoning reflects the latest experimental evidence. The objective is faster advancement toward the clinic through an integrated approach to biology and tissue-specific delivery.

The system supports research decisions; program advancement depends on experimental validation and scientific review.

See Atlas across the pipeline