Crystallization scientist
Own the physics: solubility, metastable zones, nucleation and growth kinetics, polymorph landscapes, and how they behave at scale.
Learn moreCareers
Chemistry, control theory, and consequence.
This is not a dashboard company. The code you write moves a jacket setpoint on a reactor making medicine. If that sentence excites you rather than frightens you, we should talk.
Built for the plants that make the world’s small molecules
- Branded pharma
- Generics
- CDMOs
- Fine chemicals
- Peptide APIs
- High-potency APIs
- Continuous plants
Open roles
Who we are hiring
Small team, deep problems, real plants. [ASPIRATIONAL — roles open as we close design partners]
Process control engineer
Design the bounded control layer: windows, fail-safes, DCS interfaces, and handback behaviour that a plant will actually trust.
Learn moreML engineer, multi-modal sensing
Fuse Raman, FBRM, PVM, and NIR into state estimation and prediction that survives a real slurry.
Learn moreEdge systems engineer
Build the plant-edge runtime: signed images, pinned models, deterministic behaviour, and zero-surprise failure modes.
Learn moreGMP quality lead
Own validation: Part 11 audit design, model change control, IQ/OQ/PQ artifacts, and inspection readiness.
Learn moreForward-deployed engineer
Live in API plants during pilots. Map tags, align instruments, and turn chemist corrections into product.
Learn moreHow we work
Close to the reactor
Everyone here goes to plants. Product decisions come from watching a chemist stare at an FBRM trend at 3am, not from a competitor teardown.
- Design partner visits for every function, not just sales
- Written decisions with the evidence attached
- Safety and quality reviews before shipping control changes
What we offer
Ownership, and a problem worth a decade
Competitive compensation, meaningful equity, and the rare chance to work on autonomy where the failure mode is a recalled medicine — which is exactly why it has to be done carefully.
- Meaningful early equity
- Hardware, instruments, and compute you actually need
- Remote-friendly, plant-connected
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.
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]
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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]
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.
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.”
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.
Come make 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.