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Scifeon ELN & LIMS vs. Uncountable Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Uncountable Platform
Score 9.5 out of 10
Enterprise companies (1,001+ employees)
Uncountable helps R&D scientists move from isolated spreadsheets and projects to a comprehensive data management system the whole team can work in. Boasting the latest predictive technology and built on secure, cloud-based infrastructure, the vendor states users can develop innovative products without the hurdles and inefficiencies of yesterday. The Uncountable Platform is an enterprise solution to experiment and lab management. Combining ELN and LIMS functionality, R&D teams can…N/A
Pricing
Scifeon ELN & LIMSUncountable Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Scifeon ELN & LIMSUncountable Platform
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeOptionalOptional
Additional Details——
More Pricing Information
User Ratings
Scifeon ELN & LIMSUncountable Platform
Likelihood to Recommend
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Scifeon ELN & LIMSUncountable Platform
Likelihood to Recommend
Scifeon
No answers on this topic
Uncountable Inc.
Uncountable Platform is well-suited to R&D organizations that want to make use of their experiment data for a long time after the experiments have been run. Uncountable's software can help with all stages of the R&D process.
Verified User
Anonymous
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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.

Uncountable Platform Screenshots

Screenshot of Search and filter through all of your experiments organized by project and structured so that you never lose another experiment result.Screenshot of Manage requests for lab work and tie requests to experiments stored within the platform.Screenshot of Build machine learning models to explain variance in your data.