Dokkaebi connects literature, scientific reasoning, experimental planning, research data, analysis, and learning into one continuous R&D workspace.
From an idea to an experiment.
From an experiment to data.
From data to the next idea.
A scientific idea rarely travels directly to an answer. It moves through people, tools, files, databases, meetings, analysis pipelines, and specialized expertise.
Find the relevant
scientific landscape.
Synthesize knowledge
into a testable idea.
Design experiments
and plan the work.
Execute experiments
in the physical world.
Process, clean, and
organize results.
Extract meaning and
decide what comes next.
Every handoff creates friction. Momentum breaks. Discovery slows.
Dokkaebi does not treat ideation, experimentation, and analysis as separate applications. They are different moments in the same scientific process.
Experimental results remain connected to the question, design decisions, execution history, and evidence that produced them—so learning can immediately become the next hypothesis.
R&D doesn't stop between tools anymore.
Dokkaebi keeps the scientific reasoning surrounding every experiment connected to the work itself.
Not by replacing scientists, wet-lab work, or specialist expertise. By reducing the coordination, information, and analysis burden surrounding the science.
Literature, hypotheses, experimental plans, results, interpretations, and decisions remain connected across the life of the project.
Scientists spend less time moving information between tools, searching for context, and rebuilding the reasoning behind previous work.
Scientific intelligence helps teams move from experimental observations toward interpretation, explanation, and meaningful next steps.
Each experiment adds context to the project, allowing the next hypothesis to begin with more scientific memory than the one before it.
Dokkaebi takes on more of the information, coordination, and analytical burden around R&D so scientists can focus more attention on the scientific questions themselves.
A molecular biologist should not need to become a bioinformatician to interrogate data. A founder should not need an informatics department before testing the first hypothesis.
Dokkaebi connects the scientific work from first question to next hypothesis in one project-aware system.
Search evidence and understand the scientific landscape.
Reason over the actual scientific context of the project.
Turn hypotheses into structured experimental strategies.
Keep designs, experiments, samples, observations, and results connected.
Move from observations to interpretation and next experiments.
Keep decisions, responsibilities, follow-ups, and project continuity connected.
Experiments should not disappear into notebooks, slide decks, folders, messages, and people's memories. Dokkaebi is designed to preserve the reasoning that connects them.
Dokkaebi is built to remove more of the friction around the science—so you can focus on the questions that move it forward.
Start with Dokkaebi ↓