Alternative for Scientific Database Management Systems (Alt-SDMS)

Future Proof your Lab with the Best “SDMS” Software – alt-SDMS

Scispot's API-first alt-SDMS is the most intuitive, customizable, and fast-implementing Scientific Datalake. It's a modern alternative to traditional Scientific Data Management System (SDMS), designed for wet and dry labs focused on data science.


Compliance with 21 CFT Part 11 and ALCOA Principles


Data Readiness for AI


Saving in time on Manual data entry


Reduction in errors with enhanced data accuracy

Why Scispot?

Tool and strategies modern teams need to help their companies grow.

One-Click & Affordable Integration

Seamlessly connect lab instruments and scientific apps affordably.

AI-Ready R&D Data

Centralize standardized data in graph and vector databases for AI-readiness.

White Glove Support

Personalized setups with unlimited expert training, consulting, and data migration support.

No-Code Analytics with AI

Analyze your R&D data without writing code.

Flexible Configurations

Customize lab data models to fit your needs.

Meet Scispot AI Agent on Alt-SDMS

Experience Scibot, your intelligent AI Lab Assistant in Scispot's alt-SDMS. Chat with your lab data to extract insights, create summaries, and identify the best assays, media, strains, or hits from screening data.
Dashboard mockup
Case study

How Boston based lab 3x their scientific productivity

In the pioneering days of the 1960s, the integration of computers and the internet into biology research laid the groundwork for the field of bioinformatics. Despite these early innovations, the pace of technological adoption in R&D has significantly slowed, particularly in the realm of instrument connectivity.

Customer Testimonials

Hear from some of our amazing customers who are building faster.

"Scispot's alt-SDMS has made managing and analyzing our wet and dry lab data much easier. Integration was seamless, and we quickly achieved full data indexing and scientific ontology management. This has improved our data organization, retrieval, and discovery, allowing us to focus more on research."

Lead Scientist
Boston-based biopharma company

"Scispot is very easy to integrate into our current system. It provided us with some ready-to-use workflows for automatically recording inventory, executing media recipes, and tracking a lot of the things that we do here. This raises our quality of work to a whole new level."

Lead Scientist
Engineering Manager, Culture Biosciences

"Scispot expands our digital footprint and helps us scale faster. It consolidates our company-wide operations and enhances the quality and efficiency of our science.”

John Butler
Founder & CEO, QuantumCyte

"Scispot significantly improved my scientific productivity. It stands out as the most configurable platform I've used. In just a few minutes, I configured my own sample and inventory manager using Scispot Labsheets. The seamless integration with scientific instruments has streamlined my workflows, making Scispot an invaluable tool in my lab."

Soumith P.
Computational Biologist, UT SW Medical Center


What is a Scientific Data Management System alternative (alt-SDMS)?


alt-SDMS is a modern, cloud-native alternative to traditional Scientific Data Management Systems. Unlike conventional SDMS, it actively manages and analyzes data rather than just storing it. This system emphasizes data standardization and ensures compliance with FAIR (Findable, Accessible, Interoperable, Reusable) principles, transforming data into a valuable, organized asset. Designed for flexibility and customizability, alt-SDMS integrates seamlessly with various laboratory instruments and software, enabling real-time data analysis and fostering innovation. By shifting from passive data storage to active data exploration, alt-SDMS drives biotech labs towards more efficient and groundbreaking scientific discoveries.

What are the advantages of integrating an SDMS (Scientific Data Management System) with LIMS & ELN?


Integrating an SDMS with LIMS and ELN automates laboratory operations by eliminating the need for manual data transfer, reducing errors, and saving time. Scispot's SDMS software, designed for both wet and dry labs, ensures 100% compliance with 21 CFR Part 11 and ALCOA principles, enhancing data accuracy by reducing errors by 95%. This integration provides a seamless workflow from sample tracking (LIMS) to experiment documentation (ELN) to data analysis and storage (SDMS), ensuring data readiness for AI and adhering to FAIR data principles.

How does Scispot alt-SDMS enhance data integrity and security in an integrated system?


Scispot alt-SDMS enhances data integrity and security with chain-of-custody tracking, stringent security protocols, and robust data governance. This scientific data management system ensures 100% compliance with FDA 21 CFR Part 11, GDPR, and HIPAA regulations, adhering to ALCOA and FAIR principles. This ensures that data remains unaltered and secure throughout its lifecycle, significantly reducing the risk of data corruption or loss.

How does Scispot alt-SDMS facilitate real-time data analysis and lab interoperability?


Scispot alt-SDMS is designed to handle real-time data streams from laboratory instruments efficiently. This SDMS software seamlessly integrates with various lab equipment, capturing data as it is generated and facilitating immediate analysis. This real-time data handling capability ensures researchers have access to the most current data, enabling timely decisions and adjustments to experiments. By streamlining the flow of real-time data, Scispot alt-SDMS significantly improves laboratory efficiency and the overall pace of research.

What are the benefits of using AI-powered custom lab dashboards in Scispot alt-SDMS?


Scispot alt-SDMS offers AI-powered custom lab dashboards that allow researchers to create personalized dashboards using natural language. By simply describing their needs, researchers can visualize data instantly without any coding. This feature enhances data accessibility, simplifies data interpretation, and accelerates decision-making processes, making it easier to track, analyze, and act on laboratory data.

How does Scispot alt-SDMS support advanced data analysis and reporting?


With all data centralized in Scispot alt-SDMS, the system leverages powerful AI and ML tools for advanced data analysis and reporting. The integration supports standardized data models and scientific ontologies, enabling seamless data transformation and analysis. This scientific data management system leads to more insightful conclusions and informed decision-making, significantly enhancing research outcomes.


Discover case studies by Scispot

Tool and strategies modern teams need to help their companies grow.
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