PROPRIETARY PIPELINE

A focused pipeline.
One programmable-immunity strategy.

Byterna is advancing in vivo CAR-T, in vivo immunomodulation and personalized neoantigen cancer vaccines through a shared foundation of AI-enabled design, circular mRNA, analytics and integrated CMC and manufacturing. BR101 has a registered investigator-initiated trial in relapsed/refractory multiple myeloma (NCT07537049). Autoimmune diseases are presented separately as a preclinical development setting.

PORTFOLIO

Programs from
preclinical development to a registered IIT.

ProgramDisease settingProduct designCurrent status
BR101Target: BCMA/CD19
Disease settingRelapsed/refractory multiple myelomaProduct designIn Vivo CAR-T
Current statusIITNCT07537049
Disease settingAutoimmune diseasesProduct designIn Vivo CAR-T
Current statusPreclinical
BR102Target: Undisclosed
Disease settingAutoimmune diseasesProduct designIn Vivo CAR-T
Current statusPreclinical
BR103Target: Undisclosed
Disease settingSolid TumorsProduct designIn Vivo CAR-T
Current statusPreclinical
BR201Target: Undisclosed
Disease settingSolid TumorsProduct designIn Vivo Immunomodulator
Current statusPreclinical
BR202Target: Patient-specific neoantigens
Disease settingPersonalized oncologyProduct designPersonalized cancer vaccine
Current statusPreclinical

BR101 · Lead in vivo CAR-T program

A dual-target program with a registered investigator-initiated trial.

BR101 is a BCMA/CD19 circular mRNA program designed for transient, non-integrating immune-cell programming in vivo. It is being evaluated in a registered investigator-initiated trial in relapsed/refractory multiple myeloma (NCT07537049).

Target
BCMA/CD19
Disease setting
Relapsed/refractory multiple myeloma
Product design
In Vivo CAR-T
Current status
IIT
Registry record
NCT07537049

BR202 · Strategic personalized cancer vaccine program

From tumor profile to a manufacturable vaccine design.

BR202 is an AI-native personalized cancer vaccine program. NeoDiscovery.AI predicts, ranks and optimizes multi-neoantigen combinations from each patient's tumor data. The selected antigen set informs circular mRNA construct design, while process and quality data establish a traceable path toward individualized manufacturing and release.

Explore NeoDiscovery.AI ↗
01
Patient & tumor inputsTumor-normal sequencing, expression and HLA context
02
AI combination designPredict, rank and optimize a multi-neoantigen set
03
Circular mRNA blueprintEncode the selected patient-specific antigen combination
04
Intelligent manufacturingConnect process parameters, quality data and release context
05
Evidence & feedbackBiological and manufacturing results update the next design
LEARN & UPDATEBiological evidence, process context and quality records inform the next design.