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Chronicle Bio

3 viewers · 30d

Total raised

$10.3M

1 filing since 2025 · latest Options filed

Cumulative raised
LAST ROUND
Options · $10.3M
ROUNDS
1
INVESTORS
38
FOUNDED
2025
HQ
Menlo Park, CA
SECTOR
Biotech
EMPLOYEES
N/A
30D VIEWERS
3

AI overview

Updated

ChronicleBio (Chronicle Bio, Inc.) is building a global biobank and an AI-ready data platform for complex chronic conditions - POTS, ME/CFS, Long COVID and other neuroimmune disorders that it says affect nearly 300 million people worldwide. It partners directly with patients, clinics and research collaborators to generate longitudinal, multi-modal datasets spanning genomics, immune profiling, biospecimens, clinical records and patient-reported outcomes, and runs them through a proprietary data engine that integrates multi-omic, clinical and real-world evidence for biomarker discovery and therapeutic development. The company also operates a decentralized clinical trial network across clinics in the United States and India. It was co-founded in 2025 by CEO Rohit Gupta, a biobanking and precision-medicine leader who previously ran centers at Stanford and UCSF, Fidji Simo, and executive chairman Rishi Reddy of Tarsadia Investments.

What sets it apart

Purpose-built, patient-partnered longitudinal datasets for neuroimmune conditions that mainstream drug development has largely skipped, structured from the start to be AI-ready and clinical-trial-ready rather than assembled retrospectively from fragmented records.

Funding history

1 round
OptionsSep 30, 2025
Form D/A
+$10.3M$10.3M total

Latest SEC filings

via EDGAR · CIK 0002090889
Form D/A · Sep 30, 2025View on EDGAR

Products

1 tracked

Chronicle Biobank

Precision medicine data platform / biobank

A global biobank platform that collects and connects biospecimens, clinical, molecular and patient-reported data on neuroimmune illnesses, paired with a proprietary AI-ready data engine that integrates multi-omic, clinical and real-world evidence.

  • Longitudinal, multi-modal patient datasets including genomics, immune profiling and real-world outcomes
  • Biospecimen collection through direct partnerships with patients and clinics
  • AI-ready data engine integrating multi-omic, clinical and real-world evidence
  • Cohorts structured for clinical trial readiness