Crystallization control
Cooling and antisolvent profile, seeding, supersaturation, and agitation controlled to the target polymorph and particle size.
Learn moreProducts
Start on one train. Scale to the whole network.
Three products, one architecture. Land where the pain is sharpest — usually crystallization — then extend upstream to the reactor and downstream through isolation, drying, and release.
Built for the plants that make the world’s small molecules
- Branded pharma
- Generics
- CDMOs
- Fine chemicals
- Peptide APIs
- High-potency APIs
- Continuous plants
Polymorra Line
Autonomy for a single reactor or crystallizer train
The wedge. One train, one workflow, one measurable outcome — proven in a validation-friendly pilot.
Reaction control
Charging, temperature, pH, and addition rate driven to target conversion and impurity profile.
Learn morePAT sensing
Raman, FBRM, PVM, and NIR fusion with in-line prediction of form, size, and purity.
Learn morePolymorra Plant
The full loop, across every train in the site
Every unit operation from charge to release, plus the twin, campaign scheduling, and review by exception.
Isolation & drying
Filtration, washing, drying, and milling controlled to spec so the crystal survives downstream.
Learn moreContinuous & flow
Continuous-flow and continuous-crystallization operation held inside the window through disturbances.
Learn moreReview by exception
Batch-record review that surfaces only the deviations, with a Part 11 trail behind every claim.
Learn moreReactor & crystallizer twin
Rehearse profiles, scale-ups, and tech transfers in simulation before they touch a batch.
Learn moreCampaign optimization
Sequencing, changeover, and solvent-recovery optimization across the campaign.
Learn moreRobotic sampling
Automated sampling and charging so the loop closes without exposing operators.
Learn moreEnterprise
Built for multi-site pharma and CDMO networks
Multi-site deployment, plant-edge fleet management, custom route and crystallization models, validation support, and on-prem or hybrid installation with NVIDIA AI Enterprise.
Fleet of plant edges
Manage models, autonomy levels, and versions across every train in every site from one control plane.
Validation package
Qualification documentation, model version locks, and change-control artifacts your quality unit can review.
Outcome-linked pricing
Enterprise agreements can tie a component of fees to polymorph consistency, yield, or reprocessing reduction.
Dedicated engineering
Solutions engineers who speak crystallization, PAT, and GMP — not just software.
Compare
What is included at each level
Every product shares the same plant-edge runtime, audit trail, and validation posture.
| Capability | Line | Plant | Enterprise |
|---|---|---|---|
| Reaction & crystallization control | One train | All trains | All sites |
| PAT fusion & prediction | Yes | Yes | Yes |
| Isolation, drying & milling | — | Yes | Yes |
| Reactor & crystallizer twin | — | Yes | Yes + custom routes |
| Batch review by exception | Records only | Yes | Yes |
| Fleet management | — | Site | Multi-site |
| Validation support | Templates | Guided | Dedicated |
| Deployment | Plant edge | Plant edge | On-prem / hybrid |
Plant-edge console
One screen for the batch that is running right now
Supersaturation, particle size distribution, predicted polymorph, impurity trajectory, and the next control move — with the evidence behind each number.
Polymorra plant-edge console showing live supersaturation, particle size distribution, predicted polymorphic form, and impurity trajectory for a running crystallization, with the recommended next control move.
Accelerated computing
An NVIDIA-accelerated stack, from the train to the fleet
Perception at the edge, reasoning in the cloud, and a reactor-and-crystallizer twin in between.
Stack
Jetson at the train
Plant-edge inference per reactor or crystallizer train: PVM crystal-image models, FBRM feature extraction, Raman and NIR soft sensors, anomaly and safety classifiers. [ASPIRATIONAL]
Stack
TensorRT + Holoscan
Low-latency perception and sensor-stream preprocessing for in-situ imaging and PAT spectra inside validated control windows.
Stack
Triton + NIM
Route-specific polymorph, impurity, particle-size, endpoint, and batch-reasoning models served with validated version locks and rollback.
Stack
Omniverse + Cosmos
Reactor-and-crystallizer twin plus synthesis of rare crystallization faults — oiling-out, fouling, seed drift, wrong-polymorph nucleation. [ASPIRATIONAL]
Stack
RAPIDS + cuOpt
Telemetry ETL at campaign scale, plus scheduling, solvent recovery, and crystallization-profile optimization.
Stack
NeMo + DGX
Fine-tuned chemistry-process and batch-record reasoning trained on de-identified design-partner data and chemist corrections. [ASPIRATIONAL]
Integrations
Connects to the systems already running your plant
Polymorra reads and writes through the reactor DCS, PAT instruments, crystallizer and isolation skids, historians, and MES you already validated.
Reactor control & DCS
Emerson DeltaVSiemens PCS 7Honeywell ExperionOPC UAModbus/TCP
PAT & analytics
Mettler-Toledo FBRMPVM in-situ imagingReactIREndress+Hauser RamanNIRHPLC / XRPD imports
Isolation & drying
Nutsche filter-dryersCentrifugesAgitated dryersConical millsMicronizers
MES, historian & quality
Körber PAS-XEmerson SyncadeOSIsoft PILIMSeBR / QMS exports
Pricing
Land on one train. Expand to the plant.
Pricing follows the value of the batch: per reactor or crystallizer train, per plant, or an enterprise agreement with outcome components.
Line
Manufacturers validating ROI on the wedge workflow.
$13,000
per reactor or crystallizer train / month
- Reaction-control, crystallization/polymorph-control, or PAT-sensing AI for one train
- Plant-edge runtime with validated model versioning
- Connectors for one DCS, one PAT stack, and one MES
- Review console for chemists and PAT engineers
- Part 11 audit trail from day one
Most popular
Plant
Scaling plants adopting the full autonomous loop.
$85,000
per plant / month
- React-and-charge + crystallize-and-seed agents
- Purity-and-polymorph PAT sensing across trains
- Isolate-and-dry plus flow-and-continuous optimization
- Batch-record review by exception
- Reactor-and-crystallizer digital twin
- Campaign scheduling and solvent-recovery optimization
Enterprise
CDMOs and pharma networks standardizing on Polymorra.
Custom
land $600k – $7M ACV
- Multi-site deployment and plant-edge fleet management
- Custom route, crystallization, and impurity models
- Validation support and qualification documentation
- On-prem or hybrid deployment with NVIDIA AI Enterprise
- SLAs, dedicated solutions engineering, and outcome pricing
FAQ
Frequently asked questions
Both — in a deliberate order. Polymorra starts in shadow mode (perceive only), moves to assist (recommend, chemist approves), then to bounded auto-control on qualified trains where setpoint moves stay inside validated control windows. Every level is configured per train and revocable.
Polymorra is built for GMP (ICH Q7) and 21 CFR Part 11: immutable audit trail, validated model version locks with rollback, change control, grounded and citable outputs, and human-in-the-loop checkpoints. We ship a validation package and support IQ/OQ/PQ activities with your quality unit.
API or OPC access to your reactor DCS, PAT instruments (Raman, FBRM, PVM, NIR), crystallizer and isolation skids, and MES or historian — plus a train with enough campaign volume for clear ROI.
No. Per-tenant isolation of routes, recipes, spectra, and crystal images is enforced at the data and model layer. Cross-site benchmarks are opt-in and de-identified.
A typical wedge pilot instruments one train, runs shadow mode over a baseline campaign, then moves to assist mode with a defined polymorph, yield, or reprocessing success metric agreed up front.
Perception and control inference run at the plant edge. Cloud handles training, fleet management, and analytics — losing it degrades reporting, not the batch.
Pick the product that matches your bottleneck.
Start with one crystallizer or reactor train. Prove polymorph, yield, and reprocessing ROI in a validation-friendly pilot. Then expand across the plant.