R&D Lab Diary
Create complete laboratory diary records with manual observations, experiment notes, decisions, issues, follow-ups and system-generated events.
e-line ecosystem
eLAB
R&D Laboratory Notebook Platform
Capture R&D experiments, laboratory diaries, samples, structured results and product comparisons in one traceable development platform.
eLAB helps pharmaceutical R&D laboratories document experimental work from product and batch context through sample testing, detailed result recording, review and interpretation. It is designed for development laboratories that need a complete electronic lab diary, including result history and comparison against reference or originator products, while eQCP remains focused on QC planning and routine control testing.
The R&D laboratory evidence gap
Development experiments lose value when results and context are scattered across notebooks, files and spreadsheets
Pharmaceutical R&D laboratories work with evolving formulations, pilot batches, reference products, analytical methods, exploratory samples and interpretation-heavy results. When observations, decisions, result tables and comparison notes are separated, teams struggle to understand why a batch performed well, what changed and which evidence should guide the next development step.
eLAB brings laboratory diary entries, samples, methods, structured results, product context and reference comparisons into one traceable R&D workspace.
What eLAB helps you manage
eLAB connects R&D laboratory documentation, experiment evidence, result recording and product comparison in one controlled platform.
Experiments & Samples
Connect experiments with samples, batches, products, materials, methods, test orders, tasks and contextual laboratory evidence.
Structured Result Recording
Capture numeric, text, pass/fail and structured method-specific results with notes, review status and full result history.
Reference Product Comparison
Compare development batches against originator or reference products, including profiles such as assay, dissolution, impurities, pH or water content.
Product & Batch Context
Keep R&D evidence connected to products, materials, batches, source references, specifications and development-stage samples.
Method & Specification Context
Use methods, specifications, test types and limits to structure what is measured and how results should be interpreted.
Review, Deviations & Retesting
Route results through review workflows, capture OOS or deviation investigations and preserve retest history where needed.
Audit Trail & Evidence
Preserve changes, recorded results, diary entries, workflow transitions, electronic signature evidence and attachments in audit-friendly history.
Searchable Development Knowledge
Search across diary entries, samples, methods, products, batches and result context so development knowledge can be reused.
AI Smart Actions
Use optional AI-assisted checks to summarize experiments, interpret result patterns, highlight missing evidence and support R&D review.
One platform for R&D lab evidence and product insight
From experiment notes to structured results and product comparisons, eLAB helps development teams keep laboratory knowledge usable and traceable.
01
Build a complete R&D laboratory diary
Record observations, experiment notes, decisions, issues and follow-up actions directly in the context of a product, batch, sample, method or result. System events can complement manual entries, giving teams a complete chronological record of what happened and why.
02
Connect samples, products, batches and methods
Each sample can be linked to product or material context, batch information, specifications, source references and methods. That structure lets R&D teams see experimental work in relation to the product development question being answered.
03
Record detailed experimental results
Results are captured as controlled records with value, numeric result, structured method data, notes, reviewer context and status. Teams can preserve both raw observations and interpreted outcomes without losing the method or sample context.
04
Compare development batches with reference products
eLAB supports reference sample links so teams can compare generic, pilot or process batches against an originator or reference product. This is useful for formulation development, dissolution profile review, assay comparison and similar R&D evaluation work.
05
Turn laboratory work into reusable development knowledge
Search, attachments, audit history, diary timelines and AI-assisted summaries help teams understand previous experiments, retrieve evidence and prepare development discussions without reconstructing context from emails and files.
Ecosystem
Built for the e-line ecosystem
eLAB is designed as the R&D laboratory documentation and experiment evidence layer within the e-line ecosystem. It can connect development work with portfolio decisions, controlled documents, regulatory context and downstream QC planning while keeping R&D observations, results and comparisons under dedicated laboratory control.
eLAB is not a QC planning system. eQCP focuses on QC testing operations, while eLAB focuses on R&D experimentation, laboratory diaries and development evidence.
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Artwork execution follows regulatory and launch change context.
Supporting systems across the lifecycle
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Typical use cases
eLAB answers R&D laboratory questions around experiment history, result interpretation and product comparison.
R&D experiment documentation
- What was done in this experiment?
- Which observations, decisions and issues were recorded?
- Which product, batch, sample and method does this entry belong to?
- What changed since the previous development run?
Result review and interpretation
- Which results were recorded for this sample?
- Which values are warning, out-of-spec or unexpected?
- Who reviewed the result and when?
- Which result should be repeated or investigated?
Reference product comparison
- How does this batch compare with the reference product?
- Is the dissolution profile close enough for further development?
- Which assay or impurity values differ from the originator?
- Which batch looks most promising?
Development knowledge reuse
- Which previous experiments used this method?
- Which product batches produced comparable results?
- What conclusions were recorded by the R&D team?
- Which evidence should be reused for the next study?
AI Smart Actions
AI-assisted R&D lab review and result interpretation
eLAB can help teams turn structured laboratory data into clear development outputs. AI Smart Actions can summarize experiment diaries, compare batches with reference products, highlight unusual result patterns, explain missing context and prepare R&D review notes based on available system data.
Summarize this experiment diary.Compare this batch with the reference product.Highlight unusual result patterns.Explain differences in dissolution profile.Identify missing experiment evidence.Prepare an R&D review summary.
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R&D laboratory fit
Designed around pharmaceutical development laboratory reality
eLAB supports exploratory and development-stage work where context matters as much as the result itself: product ideas, formulations, pilot batches, reference samples, methods, specifications, structured result data, lab diary entries, observations, decisions, attachments, review history and audit-friendly evidence.
Benefits
What eLAB helps you achieve
Complete laboratory diaries for R&D experiments and development work
Better traceability from product idea to samples, batches, methods and results
More structured recording of numeric, text, pass/fail and method-specific results
Clearer comparison between development batches and reference products
Less fragmented evidence across notebooks, spreadsheets, emails and shared folders
Better reuse of previous development knowledge and experimental conclusions
Stronger review history, audit trail and electronic signature evidence
Earlier detection of unexpected results, missing context and retest needs
Clear distinction between R&D experimentation and QC operational planning
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Bring structure and traceability to R&D laboratory work
See how eLAB can help your R&D teams document experiments, record detailed results, compare products and build a searchable laboratory knowledge base.
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