---
title: ELN Software | Electronic Laboratory Notebook for R&D | Uncountable
description: AI-powered electronic lab notebook for formulation R&D. Search every experiment by material, condition, or result, and let AI suggest the next run.
image: https://get.uncountable.com/hubfs/eln.png
---
[The Uncountable ELN](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#solution) [How it works](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#wedge) [ELN vs. LIMS](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#compare) [Connected Platform](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#platform) [AI + ML](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#ai) [Why Uncountable](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#differentiators)
[Request a Demo](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
AI-Powered ELN | Uncountable
# One electronic laboratory notebook, connected to everything downstream
Uncountable's electronic laboratory notebook captures what your scientists did, observed, and decided in a structured, searchable record, and it is built natively into a unified R&D operating system, so that record flows straight into sample management, QC, and product context without an integration to maintain.
[Request a Demo](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo) [See how it works](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#wedge)
Trusted by world-leading R&D organizations across chemicals, materials, coatings, food & beverage, and personal care, from a single lab to 35+ global sites on one structured backbone.
Experiment EXP-4471 / Sealant Adhesion Study Live
Rev. C DOE: 18 runs Signed 2 of 2
| Formulation | Resin A | Peel (N/mm) | Status |
| --- | --- | --- | --- |
| F-2201 | 42.0% | 6.4 | Recorded |
| F-2204 | 45.5% | 8.1 | Best in set |
| F-2209 | 48.0% | 7.2 | In test |
| F-2212 | 51.5% | Pending | AI suggested |
Peel Strength vs. Resin Loading
38%54%
Record Completeness
Signed off Results in Awaiting test
One record: procedure, formulation, conditions, results, and sign-off, linked to the project it belongs to
Click on image to enlarge
Illustrative UI: a structured experiment record in Uncountable's ELN
Trusted by the world's leading R&D and formulation organizations
                  
                  
How most organizations get here
## Four stages, and the cost only becomes visible at the end
Nearly every team got here the same way, starting with a digital laboratory notebook to replace paper. Recognizing your stage is the fastest way to know what you need next.
Stage 1**ELN**Replace paper
Stage 2**LIMS**QC and testing grow
Stage 3**Spreadsheets**Fill the gap between them
Stage 4**Visible cost**Integration, duplicate entry, stalled AI
**If you're at stage 3 or 4**, it's time to put a connected ELN on the shortlist, not another point tool to integrate.
Uncountable's Integrated ELN
## Every experiment, one record, from first design to downstream handoff
Uncountable's ELN is natively built into a unified R&D operating system. The experiment record your scientists create is the same record QC tests against, product teams specify from, and your AI models learn from.
Step 01
Design
Step 02
Execute
Step 03
Capture & contextualize
Step 04
Analyze
Step 05
Hand off
Want this mapped to your lab's actual process?[Walk through a record](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
How it works
## Focus on the analysis, not on assembling the data first
Five capabilities that separate a structured, connected ELN from a digital replacement for paper.
Contextualized capture
Search & retrieval
Reporting
Design of experiments
AI insights
### Electronic lab notebook software that captures context, not just the result
A result without its context is a number. Capture the extra layers that make an experiment reproducible and reusable: custom tags, links, files, images, annotations, and visualizations, all attached to the structured record rather than buried in a folder.
- Custom tags, links, files, images, annotations, and metadata on every entry
- Process conditions captured natively: mixing speed, temperature, order of addition, instrument parameters
- Every experiment linked to the project, formulation, and raw material lots behind it
- Multi-method measurement data handled in one record, not one tab per method
Experiments / **EXP-4417**
Contextualized Capture for ELN
Keep the result with the conditions, files, links, and measurements that make it reusable.
Context captured
ExperimentEXP-4417
ProjectBarrier Coatings
Workflow stepMix
Tagspilotbarrier
OwnerResearch team
P
#### Process conditions
Captured on the workflow step
Mixing speed800 rpm
Temperature25 °C
Hold time30 min
EquipmentDisperser 04
Order of addition
*1*Resin*2*Additive*3*Solvent
L
#### Linked context
Files, images, notes, and curves
N**Notebook***linked to this experiment*
I**Batch image***attached image*
F**Raw material COA.pdf***file attachment*
C**Instrument curve***process parameter value*
2**2 comments***record discussion*
Everything stays on the record
M
#### Measurements
5 methods in one experiment record
| Property | Result |
| --- | --- |
| Viscosity*Brookfield* | 4,280 cP |
| Solids*Oven, 105 °C* | 42.1 % |
| Gloss*60° gloss* | 86 GU |
| Particle size*Laser diffraction* | 1.8 µm |
| Adhesion*Cross-hatch* | 4B outlier |
Each result keeps its method
Traceability
**One experiment record**
Project, formulation inputs, and ingredient lots stay connected.
Project›Formulation inputs›Ingredient lots
Click on image to enlarge
Illustrative UI: metadata, files, and links attached to one experiment
### Quickly search, filter, and find any data you've ever recorded
Whether your team is 2 people or 5,000, a structured data system lets researchers find specific, detailed results whenever and wherever they were stored, including the ad hoc queries that free-text notebooks can't answer.
- Search historical experiments by raw material, process condition, or performance outcome
- Filterable experiment library spanning every project, site, and researcher
- Cross-function querying: trace a formulation from experiment to QC result to product record in one interface
- Institutional knowledge stays searchable instead of leaving with the researcher
Experiments / **Library**
Experiment Library
Find any experiment you have ever recorded, and trace it end to end.
142 results
Silica 200 · cure \> 160°C · tensile \> 12 MPa
Raw material **Silica 200** Process **Cure \> 160°C** Result **Tensile \> 12 MPa**
| Experiment | Project | Key result | QC |
| --- | --- | --- | --- |
| EXP-24187 | Sealant HT-9 | 14.2 MPa | Pass |
| EXP-23904 | Sealant HT-9 | 13.6 MPa | Pass |
| EXP-23771 | Coating LV-2 | 12.9 MPa | Pass |
| EXP-23318 | Adhesive AX-4 | 12.1 MPa | Pass |
Trace ExperimentEXP-24187 → QC resultTensile · Pass → ProductSealant HT-9
Click on image to enlarge
Illustrative UI: structured search across the full experiment library
### Generate real-time and historical reports instantly
Combine experimental process and output data in a single report. Drag-and-drop charts, visualizations, images, and written insight into a holistic, contextualized overview, without exporting to another tool first.
- Process inputs and output results combined in one report, not two exports
- Drag-and-drop charts, visualizations, images, and annotations
- Live reports that update as new results post, plus point-in-time historical snapshots
- Report-ready output for stage gates, customer submissions, and audits
Projects / Coating Resin B / **Notebooks**
Gen 3, Stage Gate 2 Report
Every cell reads live platform data. Snapshot a version to freeze it for submission.
Livev2.4 · Current
Experiments2418 measured, 6 in test
Best gloss (60°)92.46.1 vs Gen 2
Adhesion pass rate88%21 of 24, spec 4B
Gate deliverables7/81 outstanding
Process inputs, formulationLive
| Ingredient | Lot | Amount |
| --- | --- | --- |
| Acrylic Polyol A-220 | LOT-8841 | 46.0% |
| Isocyanate HDI-T | LOT-7219 | 24.0% |
| TiO2 Dispersion | LOT-9003 | 18.0% |
| Flow Additive F-12 | LOT-6650 | 7.0% |
| **Total** | | **100.0%** |
Process conditionsLive
Mix speed1,450 rpm
Cure temperature140 °C
Cure time22 min
Film thickness52 µm
Output results, measurementsLive
Gen 3Gen 2 baseline
92.4 EXP-101EXP-104EXP-109EXP-112EXP-118EXP-124
Test results, linked recordsLocked to v2.3
| Experiment | Gloss 60° | Result |
| --- | --- | --- |
| EXP-112 | 92.4 | Pass |
| EXP-124 | 88.1 | Fail |
| EXP-118 | 85.0 | Pass |
Insight & annotation
EXP-112 clears the Gate 2 gloss target. Raising cure temperature to 140 °C lifted gloss 6.1 points over the Gen 2 baseline while adhesion held at 4B. Carry EXP-112 forward as the Gen 3 lead.
Click on image to enlarge
Illustrative UI: drag-and-drop reporting across an experiment set
### Design of experiments software, built into the notebook
Most teams run DOE software beside the notebook and paste results back by hand. Here the design of experiments (DOE) workspace lives in the record: design, runs, and results stay one object.
- Full factorial, fractional, and mixture designs against materials you can source
- Constrain by cost, supply, or restricted substances before a run is scheduled
- Raw material hierarchies and versioned formulas handled natively, not bolted on
- Results post onto the design as each test completes, with nothing re-keyed
- Models rank which runs to prioritize and flag those adding little information
Coatings / **Low-VOC Primer, Hardness DOE**
Suggest Experiments
Design, runs, and results live on one object. Measurements post back as each test completes.
Fractional factorial + I-optimalResults posting live
ObjectiveMaximize pendulum hardness
Ingredients5 sourceable
Constraint setTotal = 100%Resin : PigmentVOC limit
ModelRanks by expected improvement
#### Suggested runs
Measurements post back as each test completes
| Run | Predicted hardness | Status |
| --- | --- | --- |
| E-014*Resin 62% · Pigment 18%* | 184 s | Result in |
| E-009*Resin 58% · Pigment 20%* | 171 s | In lab |
| E-021*Resin 60% · Pigment 16%* | 165 s | In lab |
| E-007*Resin 55% · Pigment 22%* | 152 s | Scheduled |
| E-018*Resin 52% · Pigment 19%* | 138 s | Low added info |
#### Model ranking
Expected improvement per candidate
E-0140.92
E-0090.78
E-0210.64
E-0070.48
E-0180.17
The model prioritizes the runs most likely to improve hardness and flags runs that would add little new information, so lab time goes to the tests that matter.
Click on image to enlarge
Illustrative UI: a constrained mixture design and its live results
### AI-driven insights, because the data was structured from day one
Uncountable's AI is trained on your lab's own experiments, not on a generic corpus, and it reads the same structured records your researchers create as they work. That is the whole difference: no export, no cleanup project, no separate AI tool to adopt.
- Trained on your own formulation, process, and result history
- Useful from the first day, because capture is structured rather than free text
- Every recommendation shows its confidence and the experiments behind it
- [See the full set of AI and ML capabilities](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#ai)
Project notebook / **AI insights**
ELN AI Insights
AI-driven insights from structured formulation, process, and result history.
Updated today
Experiments in scope128
Measured outputs842
High-confidence signals18
#### AI insights
Recommendations from your project notebook
**Formulation window improves cure time***Based on 24 structured experiment records*High confidence
**Process temperature is the next variable to test***Linked to 9 recipe and result records*Medium
Experiment evidence
MeasuredPredicted24 experiments
#### Selected insight
High confidence
A repeatable signal from the project's structured formulation and result history.
Evidence
**24**experiment records
**3**referenced notebook cells
Sources
FormulationProcessResults
Explain the factors behind this signal
Click on image to enlarge
Illustrative UI: AI-recommended experiments drawn from your own data
Ready to see it live on your own experiments?[See it on your data](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
Consistency & compliance
## Standardized across teams. Traceable down to the change.
The two things a paper notebook and a free-text ELN both struggle with: getting every scientist to record the same way, and proving afterwards exactly what changed, when, and why.
### Standardize workflows across teamsConsistency & process visibility
Configurable templates make the right way to record an experiment the easy way, so data arrives comparable across every site.
- **Configurable templates** capture inputs, approvals, and results in a report-ready format
- **Consistent capture** through required fields and standardized inputs across every team
- **Process visibility** across stages, so bottlenecks surface before they cost a quarter
- **Built to your process**, not a rigid vendor template that breaks on the next upgrade
**Solves:** R&D teams on spreadsheets and paper notebooks who need a searchable, auditable record of every run.
### Complete traceability & version controlIP protection & audit readiness
Audit trails and version history make an ELN defensible for IP and regulators. Here they are automatic, and reach past the notebook.
- **Audit-ready versioning** logs every change, owner, timestamp, and approval automatically
- **Change history** per product version, with the rationale and supporting data attached
- **Compliance documentation** generated on demand for audits, submissions, or reviews
- **Review and sign-off** built into the record, with the reviewer's full context attached
**Solves:** teams that must defend an invention date, answer an auditor, or rebuild a decision made years ago.
ELN vs. LIMS vs. Unified Platform
## ELN vs. LIMS: three terms, three different jobs
An ELN records what scientists did. A LIMS, or laboratory information system software, manages samples and tests as workflow. They are complementary, not interchangeable.
| Capability | Standalone ELN | Standalone LIMS | Uncountable Unified Platform |
| --- | --- | --- | --- |
| Experiment records and notebooks | Strong | Weak | Strong |
| Sample tracking & chain of custody | Weak | Strong | Strong |
| Formulation and versioning | Variable | Weak | Strong |
| Multi-source instrument data | Variable | Variable | Strong |
| QC test management | Weak | Strong | Strong |
| Cross-function data querying | Weak | Weak | Strong |
| R&D-to-downstream data handoff | Weak | Weak | Strong |
| AI and ML readiness | Variable | Limited | Strong |
| Integrations to build and maintain | Ongoing | Ongoing | None |
On total cost of ownership: point tools are cheaper to start with, while a unified platform is often lower over several years once integration overhead and duplicate vendor contracts are counted.
Evaluating more than one vendor?[Request the checklist](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
The bigger picture
## Our electronic lab notebook is one part of a connected ecosystem for R&D
It shares one data model with sample management, QC, product lifecycle, quality, and portfolio management, so every record carries its context downstream.
Where you are now Available on the same data model
**ELN**Experiment records
**LIMS**Samples, tests & results
**PLM**Product & specifications
**QMS**Deviations, CAPA & audits
**PPM**Projects & portfolio
**AI + ML**Across every record
**Start with the ELN and add what you need.** Because everything sits in one connected structure, a scientist can query across all of it from one interface, and a formulation record traces into downstream quality and specification context without switching systems.
400+ Lab Instrument Types
SAP / ERP
MES
Document Stores
Open API
Ask us about your specific stack[Check your integrations](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
AI + ML in the notebook
## Your experiment record is also your training set
Most AI efforts in R&D stall on data preparation, not the model. Because every experiment is captured as structured, linked data, these run against your own history from day one.
### Answers without waiting
**Ask in plain language.** No query syntax, no ticket to the data team.
### Legacy work starts counting
**Agents parse your back catalog.** PDFs and scans become structured data.
### Fewer dead-end batches
**Models predict first.** Trained on your own formulation history.
### Formulations that hit spec
**Work backward from the target.** Enter goals and constraints, get candidates.
### Fewer trials, same answer
**The model designs the round.** It picks runs that resolve most uncertainty.
### Root cause in one pass
**Correlate across the record.** Experiments, lots, conditions, and QC at once.
### Audit-ready, no scramble
**Checked as work happens.** Gaps surface while they can still be fixed.
### Predictions you can trust
**Every output shows its work.** Confidence, drivers, and prior experiments.
**None of this is a separate AI product.** It runs on the same records your team already creates in the ELN, and it gets sharper as the dataset grows.
[See AI on your own data](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
Why teams choose Uncountable
## Built for formulation-heavy R&D, not adapted to it
Uncountable covers experiment records, sample management, QC, and linked product-specification context in one system, so there's no ELN-to-LIMS integration to maintain and no spreadsheets filling the gaps.
### Native formulation data models
Raw material hierarchies, versioned formulas, and multi-method data handled natively.
Built for the data your lab actually produces.
### Configuration, not custom code
File parsing is configurable, so your team builds uploaders that survive updates.
No custom code, no upgrade-day surprises.
### Cross-function data querying
Compare a QC result against past experiments and downstream records in one place.
One interface, one queryable data layer.
### AI readiness from the start
Data already sits in one structured system, so models work across every record.
You already have the prerequisite for AI.
Business outcomes
## What changes when every experiment lives in one connected record
The cost, revenue, and risk impact R&D leaders see once experiment records, sample results, and product context stop living in separate systems.
Cost
#### End duplicate data entry
One record serves the notebook, the sample, and the product file, so nothing is retyped and no spreadsheet bridges the gap.
#### Retire the integration maintenance bill
No ELN-to-LIMS connector to build, monitor, or repair on upgrade, and no hidden links for IT to keep maintaining.
Revenue
#### Fewer experiments to the same answer
AI trained on your own experiment history predicts properties and picks the next run, so trials go where they pay off.
#### Faster time to market
A record that already carries its formulation, conditions, and results moves into scale-up and QC without being rebuilt.
Risk
#### Defensible IP and audit trails
Automatic version history, timestamps, ownership, and approvals, so an invention date or audit question has an answer.
#### Knowledge stays when people leave
Methodology, rationale, and negative results stay searchable instead of leaving with the departing researcher.
Talk through the ROI for your team[Run the numbers](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
Proven in the lab
## What scientists say about running their work in Uncountable
From single-lab teams to global R&D organizations standardized on one structured backbone.
G2 Review
“Best ELN I've ever seen!”
"Uncountable's platform is highly customizable to everything we need. The response from Uncountable's team has been amazing. Every question is always answered super quickly, with no request that they couldn't deliver for us."
Elysia H.
Scientist
G2 Review
“ELN software I highly recommend!”
"The in-depth analysis possibilities, statistical analysis tools, excellent visuals, and the ability to filter ingredients of components. \[Uncountable's\] system is a very stable, modern, & cloud-based software that can be easily used \[in the lab or\] at home."
Heiko L.
Research Engineer
1,000+
#### Users across 35+ global sites
Clariant runs Uncountable globally on a single structured backbone, with experiment records, sample management, and QC on one data model rather than a chain of integrated point tools.
Curious how this could look for your lab?[Talk to our team](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
Is this the right fit?
## When a connected ELN makes sense, and when it doesn't
A unified platform asks more of an organization than a point tool. It's worth being honest about which situation you're in before you shortlist.
### Evaluate a connected ELN when…
These are the signals that consolidating is the right move.
- The overhead of ELN plus LIMS plus spreadsheets has become a material cost
- You want to use AI or ML, and need structured, connected data as the foundation
- You're in a formulation-heavy industry where your data doesn't fit neatly into ELN or LIMS categories
- Significant R&D and QC operations need to share the same data
- You're planning a major systems refresh in the next 12 to 24 months
[Start your evaluation](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
### A point ELN may be enough when…
Your starting point that you can easily connect & scale.
- You're a single-function lab with stable, well-defined workflows
- A best-in-class point tool would be faster to implement and easier to maintain
- You're in early-stage or exploratory research with no downstream QC handoff
- IP protection and audit trails for research records are your only compliance need
- Your organization isn't ready for the retraining and process redesign consolidation requires
[Revisit the comparison](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#compare)
Take this into your demos
## Eight questions worth asking every ELN vendor
Including ours. If a vendor can't demonstrate the answer live on your data, treat the claim as a roadmap item.
What is the **total cost over three years** against maintaining our current ELN plus LIMS stack?
Can we **search historical experiments** by raw material, condition, or performance outcome? Show us.
How does a **formulation record link to QC history** and downstream specification records?
Which **instruments are supported natively**, and what happens to those integrations on a major update?
What does **data migration** involve, how long is implementation at our size, and what is the support model?
Which **AI features work today**, not on the roadmap, and is our data structured well enough to train on?
How are experiment records handled when **multiple measurement methods with different data structures** are used?
Can we **export our data on demand**, in a structured format that survives the move to another system?
**Want the full checklist?** Ask during your demo and we will send the complete vendor evaluation set alongside the walkthrough.
[Get the full checklist](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
### Still running an ELN, a LIMS, and a spreadsheet in between?
Start the decision from your actual workflows, not vendor category claims. We'll show you what one connected record looks like on your own data.
[See the alternative](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
Common questions
## ELN questions R&D teams ask before they buy
Straight answers on scope, audit readiness, integrations, and what switching actually takes.
LIMS vs. ELN: do I need one, the other, or both?
You probably need an ELN if your core workflow is research and development, you are in early-stage or exploratory work, and IP protection and audit trails for research records are your main compliance need.
You probably need a LIMS if you run a QC or testing lab with defined, repeatable processes, where sample tracking and chain of custody are critical and you face specific requirements for test results and sample disposition.
You likely need both, or a unified platform, if significant R&D and QC operations have to share data, if your experiments generate complex multi-source formulation data, or if you are already running an ELN and a LIMS in parallel with spreadsheets bridging the gap.
Is an Uncountable ELN record audit-ready?
Version history, ownership, timestamps, and approvals are tracked automatically on every record, and the change history for each product version includes the rationale and the supporting data behind it. Entries are checked against your standard operating procedures and templates as work happens, so missing fields and overdue sign-offs surface while they can still be corrected. Documentation for audits, submissions, and internal reviews is generated from the same record rather than assembled after the fact.
Which instruments and systems does it connect to?
Uncountable supports more than 400 instrument and equipment types, and file parsing is configurable rather than custom-coded, so your team builds and adjusts its own uploaders and the integrations hold through software updates. Beyond the bench, the platform connects to SAP and other ERP systems, MES, and document stores, and it shares one data model with Uncountable's LIMS, PLM, QMS, and project portfolio management products.
How hard is it to move off our current ELN?
Consolidating asks more of an organization than adopting a point tool. You are not only swapping software, you are standardizing how R&D, QC, and downstream teams work with data, which means migration, some retraining, and occasionally easing resistance between teams that have operated independently.
It is usually the right move once the overhead of running an ELN plus a LIMS plus spreadsheets has become a material cost, or when you need structured, connected data as the foundation for AI. For a single-function lab with stable, well-defined workflows, a best-in-class point tool is faster to implement and easier to maintain.
Question not covered here?[Put it to our team](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook#demo)
Request a demo
## See your experiments connected, live, in your own workflow
No slideware. We'll show you how Uncountable's ELN fits your existing R&D stack, and share the full vendor evaluation checklist.
- Watch an experiment record carry its formulation, conditions, and results downstream
- Search years of historical experiments by raw material, condition, or outcome
- See AI recommend the next experiment from your own data, not a demo dataset
- Ask how Uncountable compares to your current ELN, LIMS, or spreadsheet setup
One connected system for every product, spec, and change, for process and discrete manufacturers alike.
#### Product
- [Uncountable Platform](https://get.uncountable.com/uncountable-unified-platform-overview?hsLang=en#products)
- [Laboratory Information Management System (LIMS)](https://get.uncountable.com/enterprise-lims-laboratory-information-management-system-software?hsLang=en)
- [Electronic Laboratory Notebook (ELN)](https://get.uncountable.com/connected-eln-electronic-laboratory-notebook)
- [Product Lifecycle Management (PLM)](https://get.uncountable.com/enterprise-plm-product-lifecycle-management-software?hsLang=en)
- [Project Portfolio Management (PPM)](https://get.uncountable.com/connected-ppm-project-portfolio-management-software?hsLang=en)
- [Quality Management System (QMS)](https://get.uncountable.com/connected-qms-software-for-regulated-manufacturers?hsLang=en)
#### Company
- [About](https://www.uncountable.com/company)
- [Customers](https://www.uncountable.com/customers)
- [Careers](https://www.uncountable.com/careers)
- [Contact Us](https://www.uncountable.com/contact-us)
#### Resources
- [Blog](https://www.uncountable.com/blog)
- [Guides](https://www.uncountable.com/solution-guides)
- [Case Studies](https://www.uncountable.com/case-studies)
© 2026 Uncountable. All rights reserved. [Privacy](https://www.uncountable.com/privacy)[Terms](https://www.uncountable.com/terms-of-use)
Request a demo
## See your experiments connected, live
Tell us a little about your lab and we will tailor the walkthrough to your own workflow, then share the full vendor evaluation checklist.
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"position" : 2
}, {
"@type" : "ListItem",
"name" : "Electronic Lab Notebook (ELN)",
"position" : 3
} ]
}
```
```json
{
"@context" : "https://schema.org",
"@id" : "https://get.uncountable.com/integrated-electronic-lab-notebook-eln-software#software",
"@type" : "SoftwareApplication",
"alternateName" : [ "Uncountable ELN", "Uncountable Electronic Laboratory Notebook" ],
"applicationCategory" : "BusinessApplication",
"applicationSubCategory" : "Electronic Lab Notebook (ELN)",
"audience" : {
"@type" : "BusinessAudience",
"name" : "Formulation-heavy R&D and lab operations teams in chemicals, materials, coatings, food and beverage, and personal care"
},
"description" : "An electronic lab notebook built into a unified R&D operating system. Captures experiments as structured, searchable records with formulation management, design of experiments, audit-ready version control, and AI trained on your own experiment history. Shares one data model with Uncountable's LIMS, PLM, QMS, and project portfolio management.",
"featureList" : [ "Structured experiment records with tags, files, images, annotations, and process conditions", "Formulation and recipe management with raw material hierarchies and versioned formulas", "Design of experiments and predictive ML formulation tools", "Search and filter across every experiment, project, site, and researcher", "Real-time and historical reporting with drag-and-drop charts and visualizations", "Audit-ready versioning with change history, ownership, timestamps, and approvals", "Configurable workflow templates and required fields for consistent data capture", "Bi-directional integration with more than 400 instrument and equipment types", "Natural language querying of the experiment library", "AI property prediction, inverse formulation design, and next-experiment recommendation" ],
"name" : "Uncountable Electronic Lab Notebook (ELN)",
"operatingSystem" : "Web-based",
"provider" : {
"@id" : "https://www.uncountable.com/#organization"
},
"url" : "https://get.uncountable.com/integrated-electronic-lab-notebook-eln-software"
}
```
```json
{
"@context" : "https://schema.org",
"@id" : "https://get.uncountable.com/integrated-electronic-lab-notebook-eln-software#faq",
"@type" : "FAQPage",
"isPartOf" : {
"@id" : "https://get.uncountable.com/integrated-electronic-lab-notebook-eln-software#webpage"
},
"mainEntity" : [ {
"@type" : "Question",
"acceptedAnswer" : {
"@type" : "Answer",
"text" : "You probably need an ELN if your core workflow is research and development, you are in early-stage or exploratory work, and IP protection and audit trails for research records are your main compliance need. You probably need a LIMS if you run a QC or testing lab with defined, repeatable processes, where sample tracking and chain of custody are critical and you face specific requirements for test results and sample disposition. You likely need both, or a unified platform, if significant R&D and QC operations have to share data, if your experiments generate complex multi-source formulation data, or if you are already running an ELN and a LIMS in parallel with spreadsheets bridging the gap."
},
"name" : "LIMS vs. ELN: do I need one, the other, or both?"
}, {
"@type" : "Question",
"acceptedAnswer" : {
"@type" : "Answer",
"text" : "Version history, ownership, timestamps, and approvals are tracked automatically on every record, and the change history for each product version includes the rationale and the supporting data behind it. Entries are checked against your standard operating procedures and templates as work happens, so missing fields and overdue sign-offs surface while they can still be corrected. Documentation for audits, submissions, and internal reviews is generated from the same record rather than assembled after the fact."
},
"name" : "Is an Uncountable ELN record audit-ready?"
}, {
"@type" : "Question",
"acceptedAnswer" : {
"@type" : "Answer",
"text" : "Uncountable supports more than 400 instrument and equipment types, and file parsing is configurable rather than custom-coded, so your team builds and adjusts its own uploaders and the integrations hold through software updates. Beyond the bench, the platform connects to SAP and other ERP systems, MES, and document stores, and it shares one data model with Uncountable's LIMS, PLM, QMS, and project portfolio management products."
},
"name" : "Which instruments and systems does it connect to?"
}, {
"@type" : "Question",
"acceptedAnswer" : {
"@type" : "Answer",
"text" : "Consolidating asks more of an organization than adopting a point tool. You are not only swapping software, you are standardizing how R&D, QC, and downstream teams work with data, which means migration, some retraining, and occasionally easing resistance between teams that have operated independently. It is usually the right move once the overhead of running an ELN plus a LIMS plus spreadsheets has become a material cost, or when you need structured, connected data as the foundation for AI. For a single-function lab with stable, well-defined workflows, a best-in-class point tool is faster to implement and easier to maintain."
},
"name" : "How hard is it to move off our current ELN?"
} ]
}
```