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Trace Neuroscience

Trace Neuroscience provides a cloud‑based platform that centralizes acquisition, preprocessing, and analysis of electrophysiological and imaging data. The system automates pipelines, applies standardized quality‑control, and stores results in a searchable, version‑controlled repository with interactive dashboards and collaboration tools, enabling reproducible research without custom coding.

South San Francisco, United StatesFounded 2024213K+ followers
Updated 2 months ago

Funding

$101M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Researchers and clinicians working with neural data often face fragmented tools, manual data processing, and limited reproducibility, which slows discovery and hampers translation of findings into therapies.

Solution

Trace Neuroscience offers a cloud‑based platform that centralizes acquisition, preprocessing, and analysis of electrophysiological and imaging datasets. The system automates common pipelines, applies standardized quality‑control metrics, and stores results in a searchable repository. Integrated visualization dashboards enable users to explore signals, detect events, and generate reports without writing custom code. Collaboration features allow teams to share datasets, annotate findings, and track analysis versions, ensuring reproducibility across projects. The platform also provides APIs for seamless integration with existing laboratory equipment and statistical tools.

Target Audience

Primary users are academic neuroscience labs, pharmaceutical R&D groups, and clinical research teams that need scalable, reproducible analysis of large neural datasets.

Features

  • Unified data ingestion from multiple neural recording modalities (e.g., EEG, MEA, calcium imaging)
  • Automated preprocessing pipelines with artifact removal, filtering, and spike detection
  • Interactive web dashboards for real‑time signal visualization and event annotation
  • Version‑controlled data repository with metadata tagging and full‑text search
  • Collaboration workspace supporting shared projects, comments, and audit trails
  • RESTful API and SDKs for integration with laboratory hardware and custom analysis scripts
This profile is AI-generated and may contain inaccuracies.