Platform architecture

Layers that read, model, and predict what your cells actually need.

Each layer stands alone — together, they close the loop between your cells and your process decisions. Turning omics data into better processes, media formulations, feed strategies, and manufacturing and therapeutic quality predictions.

Biology-first, not molecule-first. We characterize what your cells are actually doing — and surface the media, feeds, existing modulators, and biomarkers that address it. No new chemistry to qualify. No new raw materials to clear. Real biology, existing components, faster path to production.
Layer 01
The read layer.

Deep cell characterization.

Multi-omic profiling — Omics deconvolved into what your cells are actually doing. The most comprehensive molecular weight range of small and large molecule needs, expression, full metabolic profiles, lineage mapping and projection, and more funneled to function, cell status, stress diagnosis. Months of bench work in days.

  • Inputs: RNA-seq (your data or VHL-coordinated), plus any proteomics, metabolomics, spent media, process data you have/want
  • Outputs: deep cell profile, biomarker candidates for CQAs and QC panels, existing-molecule modulator candidates targeting real biological pathways in your cells, metabolic bottleneck identification, comparability analysis, and much more
  • Best for: characterization studies, comparability studies, root-cause diagnosis, program discovery
Layer 02
The model layer.

Biological digital twin.

Your cells and cultures unified into an comprehensive biological digital model. Understand your process without a team, months of work, or massive spend. The best complement to in-line analytics available.

Category-defining

Where other digital twins model the bioreactor, ours models the biology inside it. The only commercially available multi-omic cellular digital twin.

  • What it is: a live, interrogable model of your specific cell system built from your data
  • What it enables: hypothesis testing, condition comparison, mechanism inspection, decision support
  • Ownership: the twin is yours for the duration of the engagement and beyond
Programs delivered with Layer 02

Digital twins built for MSCs, iPSCs, ESCs and bioprocessing programs. Average 2 weeks to build.

Layer 03
The translate layer.

Agentic layer.

Ask anything — your digital twin answers directly, backed by mechanism from your data (not the literature, unless you want it). Simulate scenarios, test hypotheses, compare conditions before you commit resources.

  • Ask: "why is titer plateauing after day 8?" — get a mechanism-level answer
  • Ask: "what's driving glycoform drift in this lot?" — get the specific pathway conditions
  • Ask: "what would happen if I doubled Fe and halved glucose?" — get a predicted outcome with rationale
Layer 04
The predict layer.

Prediction modules.

Predict manufacturing, and even therapeutic, success from starting, donor, upstream data. Predict product quality from cell profile. Identify biomarkers for KQAs and regulatory submission. Prediction that spans biology and manufacturing with the ultimate goal of delivering patient outcomes — not just process.

Category-defining claim

Most bioprocess models predict batch behavior from sensor data. Ours predict biological outcomes — manufacturability, potency, therapeutic quality — from the cells themselves.

  • Manufacturing prediction: which starting material lots will produce robust batches; which won't
  • Product quality prediction: glycoform, PTM, and aggregation outcomes from cell profile
  • Therapeutic prediction: potency, persistence, and functional attributes for cell therapy programs
  • Regulatory support: biomarker identification for KQA panels + comparability + release testing
Layer 05
The human layer.

The scientific team.

The VHL scientific team translates platform outputs into optimized manufacturing processes, media, feed, and reagent formulations. Discovery to cGMP-scaled, clinic-compatible programs — R&D, process, and product development under one engagement.

  • Translation: from digital twin outputs to specific formulation, feed, and process recommendations
  • Delivery: physical media, supplements, and process specifications ready for your team to implement — or ready for VHL-coordinated manufacturing at scale
  • Support: implementation, optimization, scaling guidance
How we engage

Every engagement follows the same four steps.

Regardless of level or scope. Scope, Sample, Analyze, Deliver — see the Engagement page for full detail on the four service levels.

01

Scope

30-minute call. Cells, process, technical questions, commercial goal. Scoped SOW within a couple business days.

02

Sample

Send existing RNA-seq / multi-omic data, or ship samples for VHL-coordinated sequencing.

03

Analyze

Full multi-omic pipeline: characterization, digital twin, prioritized recommendations and next steps. Days, not months.

04

Deliver

Report + digital twin + prioritized recommendations + Q&A with your technical team. Engagements expand from here.

Ready to see what
the platform can do for your cells?

Tell us about your program.