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Sapio LIMS

by Sapio Sciencessapiosciences.com
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OVERVIEW

A science-aware, no-code Laboratory Information Management System (LIMS) that unifies LIMS, ELN, and Scientific Data Cloud on a single platform.

Sapio LIMS is a highly configurable, no-code Laboratory Information Management System built on the unified Sapio Informatics Platform, which also incorporates the Sapio ELaiN (Electronic Lab Notebook) and the Scientific Data Cloud (SDMS). This all-in-one approach is designed to accelerate R&D by simplifying lab informatics and eliminating data silos, making it a 'science-aware' platform.

Key Benefits and Capabilities

  • No-Code Configuration: The platform's core value proposition is its no-code/low-code configurability, which allows scientists and lab managers to easily tailor workflows, data entry forms, and business logic without relying on extensive IT or programming.
  • Unified Platform: It seamlessly integrates LIMS functionality (sample tracking, inventory, instrument management) with a full-featured ELN and a Scientific Data Cloud for enterprise-wide data unification and analysis.
  • AI Integration: The platform includes an embedded AI-Chat Scientific Assistant called ELaiN, which can assist with experiment setup, data querying, and generating configuration code.
  • Compliance Ready: Sapio LIMS is designed for highly regulated environments, offering features like robust audit trails, electronic signatures, and access control to ensure compliance with standards such as FDA 21 CFR Part 11, GxP, GMP, and HIPAA.

Target Users and Use Cases

Sapio serves a broad customer base, from academic labs and small biotech startups (via a free tier) to large global biopharma companies, including 8 of the Top 10 BioPharma companies. It offers templated solutions for various complex scientific domains, including NGS Genomic Sequencing, Clinical Diagnostics, Bioanalysis, Bioprocessing, Histopathology, Chemistry, and GMP Manufacturing.

RATING & STATS

User Rating
4.5/5.0
21 reviews
Customers
100+
Founded
2004

KEY FEATURES

  • No-code/Low-code Configuration
  • AI-Chat Assistant (ELaiN)
  • Unified LIMS, ELN, and SDMS Platform
  • Workflow Automation & Protocol Templates
  • Sample & Inventory Management
  • Instrument Integration (OOTB)
  • Compliance Tools (21 CFR Part 11, GxP)
  • Advanced Data Visualization & Reporting
  • Barcode and RFID Integration

PRICING

Model: freemium
Offers a 'Bronze - FREE' edition for academic students and very small startup Biotechs. Paid editions (Silver, Gold) are available, and pricing requires contacting sales for a quote. A free trial is also offered.
FREE TRIALFREE TIER

TECHNICAL DETAILS

Deployment: cloud, on_premise, saas, hybrid
Platforms: web
🔌 API Available

USE CASES

Life Sciences R&DClinical DiagnosticsNGS Genomic SequencingBioanalysisBioprocessingGMP ManufacturingHistopathology

INTEGRATIONS

Laboratory InstrumentsERP SystemsEnterprise Systems (via API/Webhooks)Microsoft Office

COMPLIANCE & SECURITY

Compliance:
FDA 21 CFR Part 11EU Annex 11GxPGMPGLPCLIASOC 2 Type IIISO 27001HIPAAGDPRHDS
Security Features:
  • 🔒SSO
  • 🔒Multi-factor Authentication (MFA)
  • 🔒Role-Based Access Control (RBAC)
  • 🔒Encryption (at rest/in transit)
  • 🔒Audit Trails
  • 🔒Electronic Signatures
  • 🔒Zero-Trust Principles

SUPPORT & IMPLEMENTATION

Support: email, phone, support forum, resource library
Implementation Time: 1-3 months
Target Company Size: startup, small, medium, enterprise
TRAINING AVAILABLE

PROS & CONS

✓ Pros:
  • +High Flexibility and Customizability via No-code platform
  • +Unified LIMS, ELN, and SDMS in a single, integrated platform
  • +AI-powered features (ELaiN) for scientific assistance and data query
  • +Comprehensive compliance and security certifications (SOC 2, ISO 27001, GxP)
  • +Strong support for complex, multimodal scientific workflows
✗ Cons:
  • -Steeper learning curve for new users compared to some competitors
  • -Lower Ease of Setup score compared to some competitors
  • -Billing Management features are less comprehensive
  • -Some users note limitations in scalability for the largest datasets

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