Scispot Announces Affordable Custom Lab Integration Solutions with Pay-As-You-Go Pricing
KITCHENER, ON, April 24, 2024 /PRNewswire-PRWeb/ -- Scispot today unveiled its new custom lab integration solutions designed specifically for the evolving needs of biotech and pharma companies. These solutions now include a flexible pay-as-you-go pricing model, ensuring that labs only pay for the integrations they use, eliminating concerns about vendor lock-in and unforeseen costs.
Scispot today unveiled its new custom lab integration solutions designed specifically for the evolving needs of biotech and pharma companies.
KITCHENER, ON, April 24, 2024 /PRNewswire-PRWeb/ -- Scispot today unveiled its new custom lab integration solutions designed specifically for the evolving needs of biotech and pharma companies. These solutions now include a flexible pay-as-you-go pricing model, ensuring that labs only pay for the integrations they use, eliminating concerns about vendor lock-in and unforeseen costs.
With the introduction of a pay-as-you-go option alongside its affordable monthly subscription model, Scispot is making sophisticated lab integrations more accessible to a wider range of scientific communities. These integrations facilitate seamless connections between laboratory instruments and various data platforms, including major ELNs like Scispot's Labspace, Benchling, and Dotmatics, and LIMS such as Scispot's Labsheets, LabWare, and Crelio Health, in addition to essential cloud storage services like AWS, Azure Blob, and Google Cloud Platform.
Scispot's custom data integration and transformation platform, GLUE, comes equipped with built-in integrations with scientific apps and instruments, built-in transformation scripts, and AI prompts. This capability is essential for labs using high-resolution instruments such as mass spectrometers, flow cytometers, and microscopes, where data must be precisely adjusted for meaningful analysis.
This model not only helps labs leverage advanced analytics, ML, and AI without the high costs typically associated with technological upgrades but also upholds Scispot's commitment to stringent compliance with regulatory standards. Comprehensive audit trails and detailed logs provide a transparent view of data's journey from extraction to final storage, ensuring accountability.
Scispot's integration process remains straightforward and efficient, encapsulated in a simple three-step setup. First, users select their data source from a range of laboratory instruments or data systems. Next, they choose the destination for their data, which can include a variety of storage solutions or data analysis platforms such as Google BigQuery, AWS Redshift, or analytical applications like Tableau, Looker, and Microsoft Excel Power BI. Finally, they set transformation rules to customize how their data is processed, ensuring it meets specific research needs.
With these custom integrations, labs have successfully automated data flows from various instruments to multiple destinations, enhancing data utility across analytics platforms, cloud storage, and databases.
"The lab of the future is interoperable and connected, and embracing a pay-as-you-go model is crucial to take full advantage of the AI revolution. Our offerings such as Scispot GLUE and custom lab integrations make this future a reality for every lab today, as they are affordable, fast, and flexible," said Satya Singh, Co-Founder & CPO of Scispot.
Learn more about Scispot's Custom Integration Solutions and their new pay-as-you-go pricing option.
ABOUT SCISPOT
Scispot, a leading provider of biotech tech, is on a mission to transform every biotech company into an AI powerhouse. The company's Gen AI-powered data infrastructure has become the preferred choice for hundreds of digital biotech companies, offering a solid foundation for growth. Scispot automates biotech R&D workflows and makes R&D data AI-ready. Its platform provides one-click integration with scientific applications and instruments, fostering an innovative environment for the development of unique data models and ontologies. This progressive strategy empowers biotech companies to maximize the potential of AI and data science, setting new standards in research and development. Learn more at https://scispot.comÂ
Media Contact
Apoorv Sharma, Scispot, 14255004629, [email protected], https://scispot.com
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