Unified data infrastructure
GitHub Let's talk

Pharmaceuticals

Trials, batches and dossiers held together.

Pharmaceutical data is regulated data: every measurement belongs to a protocol, a batch and a submission, and the chain has to hold years later.

See Document Intelligence All of Science & Health

A measurement that still resolves to its protocol and batch, years later.

The story

A measurement that still resolves to its protocol and batch, years later.

Where it starts

Trial and manufacturing measurements

Subject observations, process parameters and batch results. It is the first of 4 workloads running in Pharmaceuticals.

The question it raises

Measurement to protocol

A subject observation resolves to its protocol version and site in one request.

Why one question is hard

From Develop to Surveil

Pharmaceuticals data moves through 5 stages — Develop → Trial → Manufacture → Submit → Surveil. The shapes in play are JSON / documents, SQL, Time series, Objects, Vector, and answering one question means reading across all of them.

What PLOMID contributes

A regulated question is an evidence question. These are the parts that keep evidence attached.

  • Documents beside rows Fields that keep changing shape stay queryable instead of being exported into a separate document store.
  • One storage contract Every model inherits the same durability and recovery rules instead of one guarantee per system.
  • One data layer Rows, documents and time-ordered events live in one system, so a question is asked once instead of once per store.
The environment

Trial data, batch records, regulatory submissions and pharmacovigilance.

Trial and manufacturing measurements are time-ordered, batch and submission records are structured and document-bound, and safety reports arrive as text. PLOMID holds the measurements with the records they belong to, so a regulatory question resolves from the source rather than from a compiled dossier.

Data models in play

The shapes, in one layer.

5 shapes carry this domain. Choose a stage to read the operation, or a shape to see every stage that handles it.

PLOMID · Pharmaceuticals develop · trial · manufacture · submit · surveil Select a stage
Stage

Develop

Protocols, versions and reference documents

JSON / documents · Objects

Workload map Pharmaceuticals workload map. Every shape on it is a surface of the layer, and each stage names the part of the operation it carries.
  • JSON / documents Documents and nested objects
  • SQL Records, keys and joins
  • Time series Measurements and events in time order
  • Objects Large assets with queryable metadata
  • Vector Similarity and semantic retrieval
The data journey

How pharmaceuticals data reaches one layer.

Walk the path the data takes, from the environment that produces it to the questions it answers. Select a station, or a shape, to read each step.

A measurement that still resolves to its protocol and batch, years later.

Environment

The protocol

Protocols and versions governing every observation that follows.

JSON / documents · Objects

Where the data goes to work

Questions evidence has to answer.

Each one keeps the measurement with what qualifies it, read from the same layer rather than reconciled later.

Measurement to protocol

A subject observation resolves to its protocol version and site in one request.

  • JSON / documents
  • Objects

Batch traceability

Process parameters, deviations and batch records are read from one layer.

  • Time series
  • SQL

Submission assembly

Documents and the data they cite stay queryable together rather than in separate repositories.

  • Time series
  • SQL

Safety review

Narratives are retrieved alongside the cases and products they concern.

  • Objects
  • JSON / documents
One environment · many workloads

What runs against pharmaceuticals data.

4 workload families over one set of shapes. Choose one to see what it moves and where it lands.

Subject observations, process parameters and batch results.

  • Planned once against the layer, not once per store
  • Read beside the records it shares a key with
  • Persisted under one storage contract
Workload architecture

From measurement to evidence.

The work, the shapes it names and the path a request takes — with the protocol beside the measurement.

Pharmaceuticals · workload architecture
Workloads

What runs against this data.

  • Trial and manufacturing measurements
  • Batch and submission records
  • Regulatory documents
  • Safety reports
Data models

The shapes those workloads read and write.

  • JSON / documents
  • SQL
  • Time series
  • Objects
  • Vector
The layer

One path from a request to the data it names.

  • Planning Predicates narrow the work before it runs
  • Execution Records, fields and windows answered together
  • Transactions Readers and writers do not block each other
Surfaces

How the work reaches the layer.

  • SQL surface The query language the layer is documented in
  • Applications Services and jobs writing and reading as they run
  • Analytics & AI clients The same layer, the same access path
Deployment & residency

Where this data is allowed to run.

Sponsors and sites operate under different jurisdictions, and residency enforcement is stated as direction today.

Deployment, residency and control
What you build next

Document Intelligence

Documents, their fields and their attachments treated as queryable data.

If Measurement to protocol is your question, start here.

See Document Intelligence Every solution
Next

Where to go next

Solutions The workload answers this industry leans on, with their models and status. Platform The data models in the product today, and the ones extending the layer. Architecture How a request is planned, executed and persisted once it reaches the layer.