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Valenyx Therapeutics · 2026

Redefining
nanobodies.

Pioneering multispecific nanobody-based biologics to conquer disease complexity and transform patient outcomes — starting with osimertinib-resistant non-small cell lung cancer.

01 · Platform

Discover. Design. Deliver.

An integrated platform that compresses the multispecific biologics workflow — from proteomic discovery, through epitope-first engineering, into an expanded set of clinical modalities.

01
Discover

Proteomics / ML engine

Serum-matured nanobody discovery from native disease proteomes, paired with ML-driven candidate triage — a 1012–1015 repertoire ranked for clinical developability before nomination.

  • Serum-matured nanobodies
  • 10¹²–10¹⁵ repertoire diversity
  • 1,000× library diversity
  • Pre-nomination developability ranking
02
Design

Epitope-first engineering

We pick the epitope before the molecule. Multi-paratopic constructs reach cryptic and low-abundance sites, with affinity tuned from fM through nM and humanization built in.

  • Affinity tuning · fM–pM–nM
  • Context modeling
  • Multi-specific architecture
  • Humanization
03
Deliver

Expanded modality

One platform, many modalities. Modular VHH formats compose into degrader-drug-conjugates, T-cell engagers, antibody-oligos, and brain-shuttle biologics — with manufacturing built for stability and yield.

  • Improved efficacy
  • Superior safety-tox profile
  • High production yield
  • Marked stability
1,000×
Library diversity vs. phage display
fM–pM
Binding affinities achieved
>90%
TGI · osimertinib-resistant CDX
50%
Less skin / heme tox vs. FDA mAb
Proteomics platform

From native biology to next-generation nanobodies.

Serum-matured repertoires sampled directly from the camelid, fractionated through high-resolution mass spectrometry, and ranked into developable multi-paratopic candidates.

01 · SOURCE
Native source
In-vivo affinity maturation across a 10¹²–10¹⁵ VHH repertoire — no synthetic library bias.
02 · ANALYSIS
Proteomics (MS)
High-resolution LC-MS/MS deconvolutes serum into single-clone sequences with quantitative abundance.
03 · OUTPUT
Nanobody discovery
ML-ranked multi-paratopic candidates with affinity tuning from fM through nM and humanization built in.
Native epitope accesscryptic · low-abundance
1,000× diversityvs. phage display
2× faster discoverypre-nomination ranking
Developable candidatesstability · yield
AI engine

Valenyx AI for ADC optimization.

Model. Compare. Optimize.

1
Epitope prediction
A
B

Native proteomes scored by an ML model — top-ranked epitopes surfaced before chemistry begins.

2
Format structure modeling
TAA-binding VHH
Internalization VHH
Fc scaffold
Payload

Candidate format, modeled at full structure with payload geometry.

3
Linker & domain order ranking
Linker size
(GS)3
(GS)4
(GS)5
Domain order
Order 1
Order 2
Order 3
Order N

Linker chemistry and domain arrangement scored head-to-head — winning configuration auto-selected.

4
Developability
Stability
Solubility
PK
Manufacturability
Immunogenicity

Top candidates passed through a five-axis developability filter — only manufacturable, low-risk molecules survive.

AI-Powered
Modeling
Multispecific
Design
Data-Driven
Ranking
Developable
Candidates
02 · Pipeline
Program Modality Indication Discovery Preclinical IND-enabling Phase 1 Status
VT-001 Tri-specific degrader-drug conjugate (DDC) NSCLC & solid tumors
IND-enabling
VT-002 Tri-specific dual-degrader-conjugate NSCLC & solid tumors
Preclinical
VT-003 Broad-tissue SdAb CNS & Muscle
Discovery
03 · Team

A world-class team in scientific strategy and clinical development.

MK
CEO · Co-Founder

Md Kabir, PhD

Protein engineering and therapeutics lead. Building Valenyx's discovery platform from the ground up.

JJ
Scientific Co-Founder

Jian Jin, PhD

Director, Mount Sinai Center for Therapeutics Discovery. Pioneer in PROTAC and molecular-glue chemistry.

YS
Scientific Co-Founder

Yi Shi, PhD

Director, Mount Sinai Center for Protein Engineering & Therapeutics. Architect of the proteomic discovery engine.

JS
Scientific Advisor

John Stagg, PhD

Director, Goodman Cancer Institute, McGill University.

FH
Scientific Advisor

Fred R. Hirsch, MD PhD

Director, Center for Thoracic Oncology, Mount Sinai Tisch Cancer Institute.

RP
Scientific Advisor

Ramon E. Parsons, MD PhD

Director, Tisch Cancer Institute, Mount Sinai.

04 · Get in touch

Open to BD conversations, scientific collaborations, and exceptional talent across protein engineering, computational discovery, and translational oncology.

Thanks — we'll be in touch soon.