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CloudLIMS vs. Scifeon ELN & LIMS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CloudLIMS
Score 10.0 out of 10
N/A
CloudLIMS offers CloudLIMS Lite, a life sciences research-oriented laboratory information management system featuring sample and subject tracking, and other features related to study management.N/A
Scifeon ELN & LIMS
Score 0.0 out of 10
N/A
Scifeon ELN & LIMS is a modular, low-code digital platform designed to manage research and quality-control data across biotech, pharma, and CDMO/CRO environments. It combines Electronic Lab Notebook (ELN) and Laboratory Information Management System (LIMS) capabilities in a single environment, enabling scientists to capture, analyze, and share data. Key Features Integrated ELN & LIMS: Unified data capture, sample management, and process…
$180
per month per user
Pricing
CloudLIMSScifeon ELN & LIMS
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CloudLIMSScifeon ELN & LIMS
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
User Ratings
CloudLIMSScifeon ELN & LIMS
Likelihood to Recommend
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
CloudLIMSScifeon ELN & LIMS
Likelihood to Recommend
CloudLIMS
It is avery obvious solutions to the quality management. Through this it is very easy to trace the desired output data. We can easily handle the inspection data sampling data occurance data etc.
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Anonymous
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Scifeon
No answers on this topic
Pros
CloudLIMS
  • Batch management
  • Quality procedures
  • Sampling procedures
  • Sample size determination
  • Random sampling
  • Physical sampling data
Verified User
Anonymous
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Scifeon
No answers on this topic
Cons
CloudLIMS
  • See i have not two vast expertise on that because i have use this since last couple of years. So i could not say so much about it. But i will share some issues which i faced recently
  • During implementation we are trying to merge this with sap. So idoc is not functioning in correct manner. Sometimes it will not able to trace the received idoc.
  • During creation of sublots for sap sometimes batches are splitting with the given direction. So we need to do this manually in sap
  • The updation time is quite high about 20 mins it should be definitely reduced
Verified User
Anonymous
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Scifeon
No answers on this topic
Alternatives Considered
CloudLIMS
They have some advantages like maintaining the quality data in more effective way. We doesn't bother the procedures were used and also it has the ability to store the physical examination data.
Verified User
Anonymous
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Scifeon
No answers on this topic
Return on Investment
CloudLIMS
  • It reduces the paper cost
  • It reduces the human effort
  • It reduces the report generation time
  • It takes 20 mins to upgrade or update the data from one system to another
Verified User
Anonymous
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Scifeon
No answers on this topic
ScreenShots

Scifeon ELN & LIMS Screenshots

Screenshot of the Context Browser, which gives scientists and QC teams a clear, structured view of all laboratory data. Projects, experiments, samples, and results are organized in a single, connected interface, making it easy to navigate across workflows without losing context. From a top-level project, users can drill down into experiments, linked samples, and raw measurements. Metadata, attached files, and audit trails are displayed side by side, ensuring that all relevant information is accessible at a glance. Integrated search and filtering functions make it simple to find specific datasets, compare results, or trace dependencies between workflows. With the Context Browser, labs gain a transparent, FAIR-aligned data environment where relationships between experiments, samples, and results are visible and reusable — enabling faster decisions, smoother collaboration, and easier compliance.Screenshot of the Workflow Builder, a visual, drag-and-drop interface designed to configure laboratory workflows inside Scifeon without coding.Screenshot of the Fermentation Visualization Dashboard The Fermentation Visualization Dashboard provides a real-time overview of upstream and downstream fermentation data in a single, interactive interface. Scientists and process engineers can monitor critical parameters such as temperature, pH, dissolved oxygen, agitation speed, and feed rates directly as the process runs. Key features visible in the dashboard screenshot: Dynamic Time-Series Charts Multiple parameters are plotted in synchronized graphs, enabling users to spot trends, deviations, and correlations across batches instantly. Batch Comparison Mode Overlay data from multiple fermentation runs to compare yields, stability, and process performance at a glance. Live Instrument Integration Data streams directly from connected bioreactors, ensuring the dashboard reflects the latest in-process values without manual uploads. Interactive Data Exploration Zoom, filter, and highlight specific segments of the fermentation process to investigate anomalies or optimization opportunities. Compliance & Traceability Linked audit trails and sample metadata support GMP, GCLP, and 21 CFR Part 11 compliance requirements. Functional Impression The dashboard turns complex fermentation datasets into intuitive, actionable insights. It supports faster decision-making, improves process reproducibility, and enables data-driven optimization — without leaving Scifeon’s platform.Screenshot of the Scifeon Workflow Builder – Adding Steps to a Workflow The screenshot shows the step configuration interface within Scifeon’s Workflow Builder, where users define and customize individual steps in a laboratory process. At the top, the user can name the step and add an optional description. Below, a wide range of predefined step types is available to choose from, making workflows flexible and modular. The visible options include: Input – Add incoming data, parameters, or metadata Output – Define resulting data, files, or reports Form – Include structured data-entry forms for users Results – Capture and manage experiment results Checklist – Enforce step-by-step task confirmation Operation – Represent a laboratory or process operation Protocol – Attach or link standard operating procedures (SOPs) Notes – Add contextual annotations or explanations Spreadsheet – Integrate structured tabular data directly Files – Upload or attach supporting documents Batch Recipe – Define recipe parameters for batch processes Signatures – Insert digital approval and sign-off steps At the bottom, a “+ Child Step” button allows users to create nested steps within a larger workflow, making complex laboratory processes easy to structure. The interface also displays controls for status tracking (“Planned” vs. “Not Approved”), adding comments, and attaching files, ensuring each workflow step stays traceable and compliant.