Helix combines precision base-editing, AI-driven target discovery and integrated GMP manufacturing to build curative genomic medicines.
Five integrated pillars from discovery to GMP clinic — owned end-to-end.
Base-editing at single-nucleotide resolution with <0.01% off-target events, validated across 2,400 targets.
Scalable CAR-T and iPSC manufacturing pipelines from concept to GMP batch in under 14 weeks.
Proprietary ML models trained on 38 billion protein-sequence pairs predict therapeutic target druggability.
Every candidate passes our 7-layer genotoxicity screen before entering the development queue.
Full-service preclinical suite: in vitro, in vivo, 14 species, bio-analytics, and regulatory documentation.
Five programs. Two in preclinical. One heading to IND.
Lead candidate selected
NHP tox study Q3 2026
IND filing expected Q1 2027
Dose escalation planned
Partnership discussion
Phase I/II data from HLX-002 (NHP study) and benchmark comparison across platforms.
% LDL-C reduction over 9 months (NHP, n=32)
% mean off-target events vs. platforms
Hover any card to see their publication record.
CEO & Co-founder
Molecular biology, Harvard PhD
Dr. Amara Osei
CEO & Co-founder
CSO
CRISPR engineering, MIT post-doc
Dr. Lena Voss
CSO
CTO
Computational biology, Stanford PhD
Dr. Jin-Ho Park
CTO
VP Clinical
Gene therapy trials, UCSF
Dr. Sofia Reyes
VP Clinical
VP Discovery
Protein engineering, Pasteur
Dr. Karim Nabil
VP Discovery
Chief Science Officer Emeritus
Genomics & bioinformatics
Dr. Priya Mehta
Chief Science Officer Emeritus
180+ publications. Selected highlights from 2024–2026.
| Title | Journal | Type | IF |
|---|---|---|---|
|
Single-base editing with sub-0.01% off-target frequency in primary human cells
DOI: 10.1038/nbt.xxxxx · 2026
|
Nature Biotechnology | Research article |
46.9
Impact factor 46.9
|
|
AI-guided target identification accelerates rare-disease candidate selection
DOI: 10.1016/j.cell.xxxxxx · 2025
|
Cell | Research article |
64.5
Impact factor 64.5
|
|
GMP-scale iPSC-derived CAR-T manufacturing: a 14-week protocol
DOI: 10.1038/nmeth.xxxxx · 2025
|
Nature Methods | Protocol |
48
Impact factor 48
|
|
In vivo TTR silencing with lipid-nanoparticle-delivered base editors
DOI: 10.1056/NEJMoa.xxxxx · 2025
|
NEJM | Clinical brief |
176.1
Impact factor 176.1
|
|
Safety-by-design: a 7-layer genotoxicity screening framework
DOI: 10.1038/nm.xxxxx · 2024
|
Nature Medicine | Methods |
82.9
Impact factor 82.9
|
Strategic partners & collaborators
Our HelixAI engine ingests multi-omics datasets from 180,000+ patient samples, ranks druggable targets by therapeutic index, and de-risks early pipeline decisions.
Our proprietary editors achieve single-nucleotide resolution across diverse cell types. Automated delivery optimisation selects the best LNP or viral vector for each candidate.
A fully in-house preclinical suite compresses the path from lead candidate to IND-enabling package from 3 years to under 9 months via parallel study execution.
Helix operates as its own CRO for Phase I/II. Real-time genomic biomarker monitoring enables adaptive dose decisions and faster regulatory milestones.
Backed by a16z Bio, Foresite Capital, ARCH Venture and others. Request access to our investor data room or speak with our CFO directly.