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A short call to understand the molecule, the train, and who needs to be in the room.
Learn moreContact
A plant review is a working session with your manufacturing, science, and quality teams. We map the train, the instruments, and the metric — and tell you plainly whether Polymorra helps.
Book a plant review
No plant data leaves your site during evaluation. This form is a scheduling request, not a data transfer.
What happens next
A short call to understand the molecule, the train, and who needs to be in the room.
Learn moreA working session covering tags, instruments, autonomy expectations, and the pilot metric.
Learn moreIf your train is not ready or the value is not there, we will tell you rather than sell you.
Learn moreBuilt for the plants that make the world’s small molecules
Come prepared
None of this is required for a first call, but it turns a discovery session into a real technical conversation.
Plant-edge console
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.
Integrations
Polymorra reads and writes through the reactor DCS, PAT instruments, crystallizer and isolation skids, historians, and MES you already validated.
Trust & compliance
Polymorra is engineered for regulated drug-substance production: grounded outputs, immutable audit trails, graduated autonomy, and validation documentation from day one.
Immutable, validated audit log for every agent perception, recommendation, and control action, with e-signature-ready review flows.
Change control, validated model versioning, and deployment documentation designed for drug-substance manufacturing.
SOC 2 Type I in progress, Type II on the roadmap; SSO/RBAC, encryption in transit and at rest. [ASPIRATIONAL]
Per-tenant isolation of routes, recipes, spectra, and crystal images. No cross-tenant training. On-prem option.
Shadow → assist → bounded auto-control. Every autonomy level is explicitly configured, bounded, and revocable.
Every recommendation cites the spectra, images, telemetry, SOP, or specification it was derived from.
Inference runs on-site so control loops survive network loss; cloud is for training, fleet, and analytics.
Chemist and QA checkpoints are first-class: approve, correct, or reject — and every correction trains the models.
Pricing
Pricing follows the value of the batch: per reactor or crystallizer train, per plant, or an enterprise agreement with outcome components.
Manufacturers validating ROI on the wedge workflow.
$13,000
per reactor or crystallizer train / month
Most popular
Scaling plants adopting the full autonomous loop.
$85,000
per plant / month
CDMOs and pharma networks standardizing on Polymorra.
Custom
land $600k – $7M ACV
Voices from the plant
Composite quotes from design-partner discovery interviews. [PLACEHOLDER — to be replaced with named references post-pilot]
“The crystallization step is where our campaigns live or die. Seeing supersaturation, particle size, and predicted polymorph in one place — and having the profile adjust itself — is what we have wanted for twenty years.”
“We do not want another dashboard. We want the batch to come out right and the record to be reviewable by exception. That is the only pitch that gets past QA.”
“Tech transfer is our bottleneck. If the twin can predict the plant crystal from the lab crystal, that is worth more than the software costs.”
FAQ
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.
Start with one crystallizer or reactor train. Prove polymorph, yield, and reprocessing ROI in a validation-friendly pilot. Then expand across the plant.