// Auto-Scientist
The AI lab for
neural systems,
behavior, and discovery.
We build an auto-scientist for neuroscience teams: a platform for standardized data, neuro foundation models, multimodal experiment analysis, and scientific agents that uncover patterns across calcium imaging, neuronal recordings, behavior, and task structure.
Standardized metadata and trace provenance for neuroscience work.
Imaging, spikes, traces, and population-level neural codes.
Research agents for hypothesis generation, experiment planning, feature extraction, and condition comparison across large multi-session datasets.
Neuro-specific encoders and task-adaptable model backbones for calcium imaging, behavior, and neural time series analysis.
Experiment toolkits that manage trial design, variable alignment, behavioral scoring, and evidence generation from live results.
Analytical workflows for denoising, segmentation, dimensionality reduction, statistics, and cross-modal interpretation.
// Thesis
A real Auto-Scientist should do the work of a research system, not just a chatbot.
// Data standards
Proper formats for real neuroscience pipelines.
The standard for experiment metadata, neural recordings, behavioral streams, stimulus annotations, and reproducible processing history across labs and collaborators.
2P, 1P, miniscope, and widefield imaging pipelines with motion correction, ROI detection, deconvolution, signal denoising, and session alignment.
Spike sorting, LFP analysis, multi-unit recordings, and event-level alignment to trials, timing windows, and sensory conditions.
Pose estimation, locomotion metrics, gaze tracking, social interaction analysis, and action segmentation from video and sensor streams.
Integrated time-series fusion between neural activity, calcium traces, imaging volumes, and experimental variables for meaningful causal analysis.
Audit-ready experiment logs, subject metadata, hardware settings, software versions, and pipeline lineage to support reliable science.
// Neuro foundation models
Models built for neural activity, behavior, and imaging.
Neuro Foundational Models
Pretrained encoders for neural sequences, imaging time series, and behavior trajectories that can be fine-tuned for new animals, tasks, and experimental paradigms.
Behavioral AI Agents
Agents that parse behavior, infer action states, detect anomalies, and connect movements to neural activity for high-level scientific hypotheses.
Calcium & Neuronal Imaging
End-to-end workflows for denoising, segmentation, deconvolution, spatial mapping, trial alignment, and population-level communication analysis.
Experiment Planning Agents
Planning agents that suggest hypotheses, define conditions, prioritize experimental cohorts, and automate evidence gathering from live analyses.
// What your lab gets
A complete neuroscience research operating layer.
Standardized, searchable neuroscience datasets in NWB and lab-native formats
Calcium imaging and neuronal signal analysis pipelines with QC, segmentation, and deconvolution
Behavioral models that connect motion, pose, and action sequences to neural activity
Pre-trained neuro foundation models that adapt to new experiments, animals, and tasks
Experiment orchestration agents for candidate testing, condition comparison, and insight generation
Statistical summaries, visual reports, and reproducible analysis artifacts for publication workflows
Need an AI platform for your neuroscience lab?
We support labs that need data standardization, multimodal analysis, pre-trained models, and experiment agents built for real scientific discovery across imaging, neuronal activity, and behavior.
Auto-Scientist for neuroscience labs
Neuro foundation models, NWB-compatible data pipelines, calcium imaging workflows, neuronal analysis, behavioral modeling, and experiment agents for scientific discovery.