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Scispot alt-LIMS is a next-generation Laboratory Information Management System designed to support the entire lifecycle of sample-centric workflows. From sample registration, tracking, and processing to instrument integration and automated reporting, alt-LIMS streamlines lab operations at every step. Its modular design allows deployment as a full suite or individual components, offering flexibility for biotech startups, CROs, and diagnostics labs. Built-in compliance features, including FDA 21 CFR Part 11 and HIPAA adherence, ensure secure and audit-ready data. By integrating seamlessly with lab instruments and apps, alt-LIMS automates manual tasks, improves data accuracy, and accelerates time-to-results, making it the perfect solution for modern labs aiming to scale efficiently.
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Scispot's answer:
Scispot alt-LIMS combines LIMS, ELN, and SDMS into one flexible platform. It uses AI-driven agents (Scibot) for natural language data interactions. Labs can automate workflows and scale effortlessly. The modular setup allows labs to deploy only what they need. Its cloud-based architecture ensures data security, compliance, and rapid setup.
Scispot's answer:
Scispot alt-LIMS offers no-code configuration, fast deployment, and deep integrations with lab instruments and apps. It supports AI-driven workflows out of the box. Unlike others, it’s built for modern biotech and diagnostics labs that need quick scaling, secure compliance, and flexible customization. The platform reduces manual tasks and increases data accuracy.
Scispot's answer:
Life science labs, biotech startups, diagnostics teams, CROs, and R&D groups needing data-ready infrastructures. They value flexible workflows, automated data capture, and AI analytics. They want to grow fast, adapt quickly, and rely on secure, compliant data management.
Scispot's answer:
Scispot was founded in 2020 to transform labs into AI-powered operations. The founders envisioned a solution that moves beyond legacy LIMS and ELN tools. They merged data integration, cloud-based scaling, and AI-driven insights to build alt-LIMS. Today, Scispot helps labs run smarter, faster, and more efficiently.
Scispot's answer:
Cloud computing, AI/ML models, scalable database architectures, secure APIs, and ETL tools. The platform integrates directly with scientific instruments and apps. It uses compliance frameworks like FDA 21 CFR Part 11 and HIPAA, ensuring secure and compliant data handling.
Scispot's answer:
Culture Biosciences, Vanderbilt University, University of British Columbia, CellChorus, Indee Labs, QuantumCyte.
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