--- url: https://invertbio.com/solutions/cell-therapy path: /solutions/cell-therapy kind: marketing --- Cell Therapy # Every batch matters, so make every one count. Cell therapy programs run fewer batches at higher cost and higher stakes. Invert helps your team organize every process record, material handoff, deviation, and quality signal so nothing important is trapped in paper, PDFs, or disconnected systems. Give your team and our AI the context needed to protect every batch and learn from every run. [Book a demo](/demo) The problem ## Built for the operational complexity of cell therapy. Cell therapy development brings a different level of operational complexity. Programs working on CAR-T, autologous, and allogeneic therapies often have limited batch history, expensive materials, tight timelines, and high sensitivity to variability across donors, sites, vectors, and manufacturing steps. Every leukopak, transduction, expansion, harvest, and fill step creates data that needs to stay connected. For autologous therapies, vein-to-vein time, chain of custody, and batch success rate can define the entire patient and manufacturing experience. For allogeneic therapies, teams need to understand how process choices affect viability, vector titer, transduction efficiency, and quality outcomes across limited but highly valuable batch sets. This demands a digital foundation that connects paper records, PDFs, GMP batch data, raw material history, process parameters, deviations, and quality attributes into one traceable system. Invert helps cell therapy teams preserve process history, accelerate investigations, and make every batch more useful for future development, IND readiness, and eventual BLA submission. Capabilities ## Easily answer questions like: - For my last 20 CAR-T runs, what starting material attributes correlate with final %CAR+ and fold expansion? - Why did the patient-14 manufacturing run fail to meet viability release spec? Pull in all relevant in-process data. - Show me the relationship between transduction day, MOI, and final vector copy number per cell. - What’s the shortest feasible expansion time that still hits our target dose based on historical fold expansion curves? - Flag any runs where cytokine feed schedules deviated from protocol and show the downstream impact on potency. How we deliver ## Built for high-stakes, low-volume manufacturing. 01 ### Structured records from day one Cell therapy data often lives across paper batch records, PDFs, spreadsheets, and disconnected systems. Invert helps turn that history into structured, queryable records so teams can search across batches, compare process history, and preserve critical context long after a batch closes. 02 ### Traceability across every handoff From leukopak and apheresis material through transduction, expansion, harvest, fill, and release, Invert keeps process data connected across sites, systems, and handoffs. Your team can follow chain of custody and understand exactly how each material, process step, and quality signal relates to the final batch outcome. 03 ### Deviation investigations with context loaded Deviation investigations should not start from a blank page. Invert gives manufacturing and process teams access to prior batch context, similar events, process parameters, material history, and quality outcomes so RCA moves faster and lessons from every batch are carried forward. Explore the product ## The product behind every batch. [Foundation ### One structured record across every batch — even from paper. Paper batch records, PDFs, eBRs, and legacy systems, turned into queryable, traceable process data with chain of custody intact. Explore Foundation](/product/foundation) [Intelligence ### Deviation investigations that start with context, not a blank page. A bioprocess-native AI teammate that compares batches, surfaces historical context, and moves RCA forward — even with limited run history. Explore Intelligence](/product/intelligence) Case study · Pre-clinical cell therapy 3.5 mo ahead of IND plan 4 weeks to go live <20 min per week on data prep, from 5–10 hours [Read the full case study](/case-studies/bioreactor-platforms) ## Make every batch count. Bring a historical batch record — paper, PDF, or eBR — or a deviation investigation that’s been stuck. In 30 minutes, we’ll show you what one traceable record across your program looks like. [Book a demo](/demo)