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woodfrog
Industries · Pharma

Right first time. Faster batch release.

For formulation and API plants. We connect MES, LIMS and QMS data so batches release sooner and every record stands up to an audit.

Jump to your problem
RFT · YieldBatch yieldDeviations · CAPADeviationsRelease timeSlow releaseOEEPacking OEEData integrityAudit ready
Contact usAt least 3× return within 12 months.

Where a batch waits before release

Illustrative
MakeQC testingRecord reviewDeviationsRelease

Most of the wait is paperwork and deviations, not production. We make each step visible, batch by batch.

The numbers we move
  • RFTBatches right first time
  • Batch yieldOutput against theory
  • Release timeDays from make to release
  • DeviationsOpen, by type and age
  • CAPAActions closed on time
  • OOSOut-of-spec results
  • OEEOn packing lines
  • Data integrityALCOA+ by design
Problems we fix

Five problems every pharma plant head knows.

Cost figures are illustrative, not woodfrog results, unless linked to a case.

A gloved hand beside a laboratory balance with a petri dish of capsules
What it costs
1 batchfailed can cost weeks of output
Reworkand retesting before release
01RFT · Yield

Batch yield and right first time

Process parameters sit in batch records and the historian. When yield drops, nobody can compare good and bad batches quickly.

What we do
ANALYTICSGolden batch compared with every batch
AIEarly warning when a parameter drifts
ANALYTICSYield by product, line and shift
DATAMES · Historian · SCADA
A technician in a white coat working at a laboratory bench with shelves of supplies
What it costs
Weeksfor a deviation to close
1open deviation can hold a batch
02Deviations · CAPA

Deviations and CAPA that never close

Deviations are logged, then chased in email. Repeat causes are hard to see across sites and products.

What we do
ANALYTICSDeviations by type, age and owner
AIRepeat causes grouped across batches
ANALYTICSCAPA due dates tracked live
DATAQMS · LIMS
Pills, petri dishes and glassware on a white laboratory table, seen from above
What it costs
Daysof finished stock waiting for paperwork
Cashtied up in quarantine
03Release time

Batch release takes too long

QA reviews batch records page by page. Test results, deviations and records live in different systems.

What we do
DATABatch record, LIMS and QMS in one view
AIReview by exception: only the gaps flagged
ANALYTICSRelease time by product and stage
DATAMES · LIMS · QMSCase: Certificates and batches in one record set →
Close-up of tablets in blister packs, some silver and one red
What it costs
Changeoverseat into every shift
Rejectsat the checkweigher and vision
04OEE

Low OEE on packing lines

Packing lines run many SKUs. Changeovers, line clearance and small stops are not measured.

What we do
DATASignals from blister, cartoner and checkweigher
ANALYTICSOEE by line, SKU and shift
ANALYTICSChangeover and line clearance time tracked
DATAPLC · Checkweighers · Vision
Two lab workers in white coats at instruments and desks in a bright laboratory
What it costs
Daysto pull evidence for an inspection
Findingsfrom gaps in audit trails
05Data integrity

Data integrity and audit readiness

Evidence sits in paper, spreadsheets and several systems. Pulling a full trail for an auditor takes days.

What we do
DATAAudit trail on every record, ALCOA+ by design
DATAWho changed what, when, kept for every value
AIAnswers traced to the source record
DATAMES · LIMS · QMS · SAPCase: AI your auditors will sign off →
Done before

Built for records that must hold up.

All case studies →
Process plant stores with tall orange rackingProcess plant · Uloborus

One set of records, from indent to invoice, with certificates of analysis.

0documents retyped
Read the case →
A person in protective clothing holding two test tubes beside a microscopeRegulated AI

AI with a trace to source and a stop button.

0audit gaps
Read the case →
A technician in a hair net, mask and gloves working with a sample trayData foundations

One agreed number for every measure.

1agreed number per measure
Read the case →
Systems we connect

From the reactor to the release.

Process
MES, SCADA, historians, PLCs
Quality
LIMS, QMS, lab instruments
Packing
Blister, cartoner, checkweigher, vision
Business
SAP, Oracle, Excel

Read only to start. Validated systems stay untouched until your QA approves.

MES · LIMS · QMSYour plant
Antvia DataOne governed store
RFT · Release · CAPALive views
Gloved hands holding a petri dish of mixed tablets and capsules
Who you work with

Engineers who build for audits.

Ananta PatilSamruddhi MoreMandar JoshiParth ManhasPranjul KalsiNarendra P

A small team from Pune, India. The people who walk your site are the people who build it.

Meet the team →
Where we have built
Process plantBatches, quality holds and certificates of analysis in Uloborus.
Regulated AITrace to source, rule checks and a stop button on every agent.
Data foundationsOne owned definition per measure, with full lineage.
Our promise

At least 3x return, within 12 months of delivery.

Measured on your own numbers: RFT, batch yield, release days and cost per batch.

How we measure it →

Questions pharma plant heads ask.

Will this affect our validated systems?

We start read only, taking copies of the data your systems already produce. Nothing is written back to a validated system until your QA has approved it through your own change control.

Do you follow ALCOA+?

We design to the ALCOA+ principles: records that are attributable, legible, contemporaneous, original and accurate, and also complete, consistent, enduring and available. Every value keeps its source, who changed it and when. Your QA decides what that means for your own validation.

Can data stay in India?

Yes. The data store can run on your own servers or in your own cloud account in an Indian region, on open formats, so you are never locked in. We work inside your IT and security rules.

Do you replace our MES or LIMS?

No. Your MES, LIMS and QMS stay as they are. We connect them, bring the data into one governed store and build the views on top, so QA and plant heads see the same batch in one place.

How soon do we see results?

The first view, for the product or line we start with, typically comes within the first weeks of the build, once the data is connected. The initial audit sets the exact plan for your plant.

Laboratory glass flasks and bottles on a bench by a window
Tell us your release time.We will show you where the days go.

Talk to us about your plant

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