React-and-charge agent
Controls reagent and solvent charging, temperature, pH, and addition rate to hit target conversion and impurity profile — not just hold a setpoint.
Learn moreAutonomous API manufacturing
The plant that makes the medicine should run itself.
Polymorra is the autonomous operations layer for pharmaceutical API and small-molecule drug-substance manufacturing — agents that control the reaction, land the target polymorph, protect the crystal through isolation, and write the record as they go.
7autonomous agents
4PAT modalities fused
24/7plant-edge control
Built for the plants that make the world’s small molecules
- Branded pharma
- Generics
- CDMOs
- Fine chemicals
- Peptide APIs
- High-potency APIs
- Continuous plants
The problem
Crystallization is still run by feel
The most valuable step in the pharmaceutical supply chain — the one that decides polymorph, particle size, purity, and whether the batch is releasable — is still governed by a fixed cooling ramp and an experienced chemist watching a trend line.
- Wrong polymorph means a failed batch, a reprocess, or a recall
- Particle size drives dissolution, bioavailability, and downstream formulation
- Off-spec impurities are discovered offline, hours after the decision that caused them
- Tech transfer from lab to plant loses the crystal that development worked for years to find
The autonomous loop
Perceive, plan, act, sense, optimize, log
Polymorra closes the loop around the reaction mass and the crystal — the two things a conventional DCS cannot actually see.
Perceive
Fuse Raman, FBRM, PVM in-situ imaging, NIR, and reactor telemetry into a live picture of the reaction mass, slurry, and solids.
Plan
Plan the react-and-charge, crystallize-and-seed, and isolate-and-dry moves for this batch against the target polymorph, particle size, and purity.
Act
Run with adaptive control: cooling and antisolvent profile, seeding, supersaturation, agitation, addition rate, and endpoint.
Sense & predict
Predict polymorph, particle size and habit, impurity profile, and yield in-line — before offline XRPD and HPLC confirm it.
Optimize
Optimize yield, solvent use, cycle time, and reprocessing risk across the campaign, then flag off-spec and polymorph risk early.
Log & retrain
Write an immutable Part 11 record; every chemist correction trains the site model and compounds the data moat.
Agents
Seven agents run the plant from charge to release
Each agent owns a unit operation, is bounded by validated control windows, and hands off to the next with full traceability.
Crystallize-and-seed agent
Controls the cooling and antisolvent profile, seeding, supersaturation, and agitation to land the target polymorph, particle size, habit, and purity.
Learn morePurity-and-polymorph agent
Senses and predicts polymorphic form, particle size and habit, and chemical, chiral, and genotoxic impurities from Raman, FBRM, PVM, and NIR fusion.
Learn moreIsolate-and-dry agent
Controls filtration, washing, drying, and milling to spec — protecting the crystal you just made through the hardest downstream steps.
Learn moreRobot-and-sampling agent
Drives robotic sampling, reagent charging, and material handling so the loop closes without exposing operators to the reaction mass.
Learn moreFlow-and-continuous agent
Optimizes continuous-flow and continuous-crystallization operation, holding the operating window through disturbances.
Learn morePlant-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.
Digital twin
Simulate the crystal before you make it
A reactor-and-crystallizer twin lets you rehearse a cooling and antisolvent profile, a seeding strategy, or a scale-up in simulation — including the rare faults you never want to see live: oiling-out, fouling, seed drift, and wrong-polymorph nucleation.
- Predict the plant crystal from the lab crystal for faster tech transfer
- Stress-test a profile against disturbances before it touches a batch
- Train agents on synthetic faults that almost never appear in real data [ASPIRATIONAL]
Why it matters
The API plant is the most valuable, least autonomous step in pharma
7autonomous agents from charge to release
4PAT modalities fused in-line (Raman · FBRM · PVM · NIR)
24billion-dollar TAM across API automation and control
134% net revenue retention target as plants expand
Market figures are internal estimates from our TAM/SAM/SOM analysis. Product performance figures are design targets. [ASPIRATIONAL]
Trust & compliance
Validated for GMP manufacturing
Polymorra is engineered for regulated drug-substance production: grounded outputs, immutable audit trails, graduated autonomy, and validation documentation from day one.
21 CFR Part 11
Immutable, validated audit log for every agent perception, recommendation, and control action, with e-signature-ready review flows.
GMP / ICH Q7
Change control, validated model versioning, and deployment documentation designed for drug-substance manufacturing.
SOC 2
SOC 2 Type I in progress, Type II on the roadmap; SSO/RBAC, encryption in transit and at rest. [ASPIRATIONAL]
Route & IP protection
Per-tenant isolation of routes, recipes, spectra, and crystal images. No cross-tenant training. On-prem option.
Graduated autonomy
Shadow → assist → bounded auto-control. Every autonomy level is explicitly configured, bounded, and revocable.
Grounded outputs
Every recommendation cites the spectra, images, telemetry, SOP, or specification it was derived from.
Plant-edge first
Inference runs on-site so control loops survive network loss; cloud is for training, fleet, and analytics.
Human-in-the-loop
Chemist and QA checkpoints are first-class: approve, correct, or reject — and every correction trains the models.
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
Voices from the plant
What operators say
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.”
Every crystal, perfectly formed.
Start with one crystallizer or reactor train. Prove polymorph, yield, and reprocessing ROI in a validation-friendly pilot. Then expand across the plant.