Can Katalyze digitize our paper batch records?

Yes. Document Intelligence extracts information from scanned batch records, including printed fields, tables, handwriting, and margin notes. It organizes the information around your field definitions, with source links and defined checks for expert review.

How are handwriting and corrections handled?

Document Intelligence reads handwritten entries alongside the printed form, including corrections and notes. Reviewers can inspect the source to distinguish a corrected entry from the value it replaced. Image quality and legibility affect extraction, so uncertain information needs review.

What happens when a batch record entry is unclear?

Uncertain entries are surfaced for review against the original page. Your experts can confirm or correct the extracted information, with the decision recorded. If the source does not establish a value, the gap remains part of the review.

Does this replace our batch record system?

Your existing system remains the source of truth for the batch record. Document Intelligence produces structured information for a configured destination or the Context Layer. Katalyze supports the review process; batch disposition remains with your authorized team.

Can batch record data help prepare investigation documents?

Yes. Agentic Solutions can combine the extracted batch data with other connected evidence to investigate a question and draft supporting documentation. Your experts review the sources, reasoning, and proposed follow-up before using the draft in their process.

Batch record BR-0412 · page 6 of 12In your schema

Batch numberBR-0412p. 6 · header
Date started2026-03-02p. 6 · header
Feed lot2231-B · corrected from 2231-Ap. 6 · step 6.1 · corrected, AM 03-05
Feed 3, recorded time11:40 · planned 09:00p. 6 · step 6.3, by hand
Harvest sample to QC2026-03-16 · AMp. 6 · harvest line, by hand
Titer resultSee Harvest resultsp. 6 · printed line
Deviation issuedDV-0088 · AM 2026-03-07p. 6 · deviations line
Margin notefeed 3 added late, see DV-0088p. 6 · margin, KS 2026-03-16

8 of 18 fields · page 6 of 12 · source-linked

Batch records

Paper batch records, digitized for review and analysis.

Reviewing a batch means following what happened through handwritten entries, corrections, and notes. Document Intelligence turns those details into structured data linked to the source, so your Quality and manufacturing teams spend less time transcribing the record and more time assessing it.

Book a Demo Explore Document Intelligence

Inside batch records

What the record holds, and where it matters.

The details your team needs are spread across fields, tables, notes, and signatures. Katalyze makes them easier to use while keeping them connected to the record.

Explore Document Intelligence

01
Batch identity
The product, batch number, bioreactor, and start date establish which run the recorded activities belong to.
Needed for Batch record review · investigation
02
The feeding record
Feed entries bring the planned and recorded times together with the material lot and the people who performed and verified the step.
Needed for Deviation Investigation · Yield Optimization
03
Corrections and unused rows
A corrected lot entry and crossed-out rows retain their original context, including the initials and dates alongside them.
Needed for Batch record review · material traceability
04
Harvest, deviations, and margin notes
The harvest entry, deviation reference, and margin note point reviewers to the analytical results and follow-up records needed to understand the batch.
Needed for Deviation Investigation · Yield Optimization
05
Manufacturing and Quality review
Review signatures, dates, and comments show the review activity recorded on the page.
Needed for Batch record review · Quality review

Structured data

Organized around the way your operation works.

Katalyze maps extracted information to your terminology and field definitions, retaining links to the original page, table, field, or note.

Explore the Context Layer

Entity

Batch

BR-0412

Batch numberidentifierheader
Producttextheader
Bioreactorquantity · Lheader
Date starteddateheader
Harvest samplereferenceharvest line
Deviations issuedreferencedeviations line

Table

Feeding record

rows 6.1 to 6.8

Stepidentifiercolumn 1
Feed and daytextcolumn 2
Planned timetimecolumn 2 · printed
Recorded timetimecolumn 3 · handwritten
Feed lotreferencecolumn 4
Performed byinitials · datecolumn 5
Verified byinitials · datecolumn 6

Entity

Lot

2231-A · 2231-B

Lot numberidentifierfeed lot column
Fed atfeedsrows 6.1 to 6.6
Corrected fromtextrow 6.1 · struck once, initialed

Entity

Harvest sample

harvest · BR-0412

Sent to QCdate · initialsharvest line · handwritten
Titer resultreferenceprinted line · the analytical record
Sampling stagetextsection 6 · harvest

Entity

Deviation

DV-0088

Referenceidentifierdeviations line
Raisedinitials · datedeviations line
Margin notetextmargin · flagged for review

Entity

Review block

p. 6

Manufacturing reviewsignature · datereview block
QA reviewinitials · datereview block
Commentstextcomments line
No further correctionsyes or nofooter

Checks and review

A clear path from a flagged value to its source.

Defined checks flag information for review. Your experts inspect the source, confirm or correct the extracted information, and leave a record of the decision.

Review and traceability

Page 6 of batch record BR-0412, the feeding record: a printed form filled in by hand, scanned

Feed lot, step 6.1 · 2231-B, corrected from 2231-ACorrected once · AM 03-05 · verified KS · lot on recordChecked

Feed 3, step 6.3 · 11:40Planned 09:00 · deviation if late · DV-0088 raisedChecked

Rows 6.7 to 6.8 · not usedStruck once · KS 2026-03-16Checked

Harvest sample to QC · 2026-03-16 · AMDated and initialedChecked

Margin note · feed 3 added late, see DV-0088Refers to a deviationFlagged

QA review · KS · 2026-03-18Initialed and datedChecked

ReviewMargin note · p. 6 · feed 3 added late, see DV-0088

Confirm the read · refers to DV-0088, open
Correct the read

KS · 2026-03-18 · Checked against DV-0088, still open · Confirmed

After review

Document data, connected to the wider operation.

Reviewed data can go to a configured destination or join system data through Connectors in the Context Layer, linking records to the materials, batches, and processes they describe.

Explore Connectors

Read from the record
Feed lot · 2231-B · corrected from 2231-A
Lot 2231-B · fed on BR-0412 · feeds 1 to 6
Lot 2231-A · struck on feed 1
Feed 3 · recorded 11:40 · planned 09:00
Feed 3 · against the master batch record
Harvest sample to QC · 2026-03-16 · AM
Deviation issued · DV-0088 · AM 2026-03-07
Margin note · see DV-0088 · flagged
QA review · KS · 2026-03-18

In the Context LayerWhat is known · what the record adds

Product P-14batches12 · BR-0410 to BR-0421feed lots this quarter2231-A · 2231-Bdeviations1 open · DV-0088

Batch BR-0412feed lot feed 3 harvest sample harvest titerLower · Snowflakedeviation issued QA review

Lot 2231-Bcertificate0091 · on fileused inBR-0412 · BR-0415 · BR-0421on BR-0412 composition datanot in the review set

Lot 2231-Acertificate0088 · on fileused inthe other nine batcheson BR-0412

Deviation DV-0088whatfeed addition later than plannedraisedAM · 2026-03-07 · Veeva Vaultstatusopen · under investigationmargin note

Master batch record P-14 Rev 3feed 3, plannedday 5 · 09:00recorded on BR-0412

9 things read · every value with its page · source links retained

Put to work

Evidence for the work that follows.

Agentic Solutions use the Context Layer to investigate operational questions and draft supporting documents and action plans for your experts to review.

Explore all solutions

01
Deviation Investigation
Assemble and validate relevant evidence to investigate possible causes.
- Feed 3 · recorded 11:40 · planned 09:00
- Margin note · see DV-0088 · open
- Feed lot · 2231-B · certificate 0091
→
02
Yield Optimization
Connect recipes, process records, material data, and system data to investigate yield performance.
- Feed 3 · 11:40 against the feeding schedule
- Harvest sample · 2026-03-16 · titer in the harvest results
- Feed lot · 2231-B · BR-0412 · BR-0415 · BR-0421
→

Questions

Questions about batch records.

How these records are read, checked, and put to use.

Less time preparing data. More time using it.

Bring the job you want to move forward and the records you'd like connected. Thirty minutes on how Katalyze would do the work, and where your experts come in.

Or, just a quick chat to run through the product, your call.

Explore Document Intelligence

Paper batch records, digitized for review and analysis.

What the record holds, and where it matters.

Batch identity

The feeding record

Corrections and unused rows

Harvest, deviations, and margin notes

Manufacturing and Quality review

Organized around the way your operation works.

Batch

Feeding record

Lot

Harvest sample

Deviation

Review block

A clear path from a flagged value to its source.

Document data, connected to the wider operation.

Evidence for the work that follows.

Deviation Investigation

Yield Optimization

Questions about batch records.

01Can Katalyze digitize our paper batch records?

02How are handwriting and corrections handled?

03What happens when a batch record entry is unclear?

04Does this replace our batch record system?

05Can batch record data help prepare investigation documents?

Less time preparing data. More time using it.