Series B — $210M raised

We engineer
biology at the
base level.

Helix combines precision base-editing, AI-driven target discovery and integrated GMP manufacturing to build curative genomic medicines.

CRISPR-based editingCell & gene therapyAI-driven discoverySeries B — $210M
5
Pipeline assets
180+
Publications
<0.01%
Off-target rate
Platform

Full-stack genomic medicine

Five integrated pillars from discovery to GMP clinic — owned end-to-end.

Genomic Precision

Base-editing at single-nucleotide resolution with <0.01% off-target events, validated across 2,400 targets.

Core tech

Cell Engineering

Scalable CAR-T and iPSC manufacturing pipelines from concept to GMP batch in under 14 weeks.

Manufacturing

AI Discovery Engine

Proprietary ML models trained on 38 billion protein-sequence pairs predict therapeutic target druggability.

AI / ML

Safety-by-Design

Every candidate passes our 7-layer genotoxicity screen before entering the development queue.

Safety

In-House CRO

Full-service preclinical suite: in vitro, in vivo, 14 species, bio-analytics, and regulatory documentation.

Preclinical
Research pipeline

From discovery to clinic

Five programs. Two in preclinical. One heading to IND.

HLX-001Discovery

PCSK9 (Hypercholesterolaemia)

Lead candidate selected

100%
HLX-002Preclinical

ANGPTL3 (Hypertriglyceridaemia)

NHP tox study Q3 2026

80%
HLX-003IND-enabling

TTR (Transthyretin amyloidosis)

IND filing expected Q1 2027

55%
HLX-004Phase I

ATTR-CM (Cardiomyopathy)

Dose escalation planned

20%
HLX-005Phase II/III

SCD-1 (Sickle Cell Disease)

Partnership discussion

0%
Data & results

Outcomes that speak for themselves

Phase I/II data from HLX-002 (NHP study) and benchmark comparison across platforms.

HLX-002 — Efficacy vs Placebo

% LDL-C reduction over 9 months (NHP, n=32)

Phase I data
M1M2M3M4M5M6M7M8M9

Off-target frequency

% mean off-target events vs. platforms

Helix HLXBE-ClassicPrime-EditCas9-wt
93%
Max LDL-C reduction
0.008%
Off-target rate
32
NHP subjects
9 mo
Durable response
Scientific team

Built by the world's top genomicists

Each card shows their role, field and publication record.

Dr. Amara Osei

Dr. Amara Osei

CEO & Co-founder

Molecular biology, Harvard PhD


42
Publications
h-19
h-index
Dr. Lena Voss

Dr. Lena Voss

CSO

CRISPR engineering, MIT post-doc


67
Publications
h-24
h-index
Dr. Jin-Ho Park

Dr. Jin-Ho Park

CTO

Computational biology, Stanford PhD


31
Publications
h-15
h-index
Dr. Sofia Reyes

Dr. Sofia Reyes

VP Clinical

Gene therapy trials, UCSF


28
Publications
h-12
h-index
Dr. Karim Nabil

Dr. Karim Nabil

VP Discovery

Protein engineering, Pasteur


53
Publications
h-21
h-index
Dr. Priya Mehta

Dr. Priya Mehta

Chief Science Officer Emeritus

Genomics & bioinformatics


89
Publications
h-33
h-index
Publications

Peer-reviewed science

180+ publications. Selected highlights from 2024–2026.

TitleJournalTypeIF
Single-base editing with sub-0.01% off-target frequency in primary human cells
DOI: 10.1038/nbt.xxxxx · 2026
Nature BiotechnologyResearch article46.9
AI-guided target identification accelerates rare-disease candidate selection
DOI: 10.1016/j.cell.xxxxxx · 2025
CellResearch article64.5
GMP-scale iPSC-derived CAR-T manufacturing: a 14-week protocol
DOI: 10.1038/nmeth.xxxxx · 2025
Nature MethodsProtocol48
In vivo TTR silencing with lipid-nanoparticle-delivered base editors
DOI: 10.1056/NEJMoa.xxxxx · 2025
NEJMClinical brief176.1
Safety-by-design: a 7-layer genotoxicity screening framework
DOI: 10.1038/nm.xxxxx · 2024
Nature MedicineMethods82.9

Strategic partners & collaborators

RocheGSKModernaBioNTechAstraZenecaNovartisPfizerSanofiIlluminaBROAD Institute
Our process

How we build medicines

Identify Engineer Validate Develop

AI-powered target identification

Our HelixAI engine ingests multi-omics datasets from 180,000+ patient samples, ranks druggable targets by therapeutic index, and de-risks early pipeline decisions.

  • Multi-omics data fusion
  • Therapeutic index ranking
  • Competitive landscape mapping
AI-powered target identification
5
Pipeline candidates
$210M
Series B raised
180+
Peer-reviewed papers
14wk
Cell mfg cycle time
Investor relations

Join the next chapter of genomic medicine

Backed by a16z Bio, Foresite Capital, ARCH Venture and others. Request access to our investor data room or speak with our CFO directly.

a16z BioForesite CapitalARCH VentureGVNextech Invest
FAQ

Frequently asked questions

What makes Helix's base editing different from first-generation approaches?

Our HelixEdit platform couples an optimised cytosine/adenine base editor with a proprietary guide-RNA design algorithm. The result is sub-0.01% off-target frequency — over 20× better than published Cas9 benchmarks — validated in primary human hepatocytes, HSCs, and T cells.

How does Helix protect against unintended bystander edits?

Every target undergoes our 7-layer bystander screen: in silico prediction, amplicon-seq, Digenome-seq, CIRCLE-seq, GUIDE-seq, long-read WGS, and blinded third-party validation. Only candidates clearing all seven gates advance.

What is Helix's manufacturing strategy?

We run a fully integrated GMP facility in Cambridge, MA capable of producing autologous and allogeneic cell products. Our 14-week iPSC-to-infusion protocol has been validated for CAR-T, CAR-NK, and HSC programs.

Does Helix partner or out-license its technology?

Yes. We offer research licenses, co-development agreements, and full program acquisitions. Our partnership team can typically structure a term sheet within 8 weeks of first contact. Reach out at [email protected].

When do you expect the first IND filing?

HLX-003 (TTR amyloidosis) is on track for an IND filing in Q1 2027, with HLX-004 (ATTR-CM) entering Phase I dose escalation shortly after, pending FDA feedback.