Sapio ELaiN

Sapio ELaiN is a third-generation, AI-native Electronic Lab Notebook (ELN) developed by Sapio Sciences. Positioned as an AI co-scientist rather than a passive record-keeping tool, ELaiN is designed for scientists across biotechnology, chemistry, molecular biology, clinical diagnostics, NGS, histopathology, in vivo research, bioanalytical studies, bioprocessing, and stability testing. It replaces the limitations of legacy ELNs — rigid templates, manual workflows, and siloed analysis tools — with a prompt-driven interface that accelerates discovery, automates repetitive tasks, and keeps all scientific work within a single experimental record.

At its core, Sapio ELaiN acts as a thinking scientific partner. Via a simple natural language prompt, scientists can design and run experiments, interpret SOPs, optimize plate layouts, analyze data, generate visualizations, and capture compliant records automatically — guiding decisions from target discovery through lead optimization without ever leaving the notebook.

AI Co-Scientist Capabilities

• Assay analysis: analyze results across multiple assays and thousands of compounds to identify selective candidates, generating key findings, CSV exports, and charts
• TapeStation data retrieval: query and surface instrument data from across the year in a structured table instantly
• TapeStation analysis: generate box-and-whisker plots to visualize concentration distribution and identify variation between instruments
• NVIDIA DiffDock integration: add compounds and proteins from their registries into an experiment and dock compounds into the protein to generate a dock filter and synthesis plan
• SOP to experiment template conversion: automatically build a full experiment from a protocol in an SOP tab, including overview, samples, plate layout, aliquoted samples, and plate samples chart
• Retrosynthesis: find possible synthesis reactions using ASKCOS tree search, browsing each reaction with compound images, reactants, conditions, and vendor information
• BLAST search, multisequence alignment, and codon optimization via a single prompt
• Experiment planning, documentation, and optimization guided by AI

Advanced ELN Features

• Reusable experiment templates that standardize protocols, reduce human error, and improve consistency across experiments
• Molecular Biology Toolkit including CRISPR Design (annotated and non-annotated multiple sequence alignment views), Plasmid and Compound Design, PCR Primer Design, Golden Gate Assembly, Vector Modification Tools, Restriction Cloning, Genome Browser, and NVIDIA BioNeMo NIM microservices
• Flow cytometry data analysis using machine learning to manage, analyze, and visualize flow data, track cell populations, analyze fluorescence intensities, and create graphical representations
• Free-form note taking for unstructured observations, sketches, and annotations alongside structured data
• Built-in data visualization with a science-aware knowledge graph and AI analytics for interpreting complex scientific data
• Science-aware searching including substructure and similarity search for compounds across structured and unstructured organizational data
• 3D plating, built-in statistical calculations, and real-time collaboration
• Instrument integration and SOP and GxP compliance support
• Data security built into the platform

No-Code Workflow Configuration

• Drag-and-drop workflow builder for configuring laboratory processes without coding
• English sentence rules engine for defining logic in plain language
• Configurable user interface adaptable to different lab operations and scientific disciplines
• Natural language AI chat (ELaiN) embedded throughout for continuous assistance

Sapio ELaiN Ecosystem and Integrations

• AI infrastructure and foundation models: AWS provides secure cloud hosting and Bedrock-managed foundation models; NVIDIA contributes accelerated AI infrastructure and BioNeMo models including DiffDock and MolMIM for high-performance scientific workflows
• Molecular modelling and structure-based design: Cadence OpenEye/Orion for cheminformatics and cloud modelling; CCDC for crystallographic data and 3D analysis; Optibrium for predictive optimization; Schrödinger for physics-based simulation; Simulations Plus for ADMET and predictive modelling
• Scientific knowledge and semantic discovery: Elsevier (including SciBite and Reaxys) for literature-connected discovery, ontology-driven enrichment, and structure-aware search linking experimental records to validated scientific knowledge
• Biological insight and predictive analytics: MedBioInformatics via DISGENET connecting disease genomics and phenotype associations to targets and pathways for disease-relevant experimental grounding and target prioritization

Use Cases Supported

• Research ELN for scalable digital lab workflows
• Clinical Diagnostic ELN for managing large volumes of diagnostic data
• NGS ELN with seamless instrument integrations for next-generation sequencing workflows
• Histopathology ELN combining no-code workflows with science-aware data management
• In Vivo ELN for data capture, collaboration, and insights in animal studies
• Bioanalytical ELN supporting flexible and reproducible studies at any scale
• Bioprocessing ELN for improved collaboration and data quality during bioprocessing research
• Stability ELN for accelerating and advancing pharmaceutical stability studies

Sapio ELaiN is hosted on AWS and integrates with an expanding ecosystem of industry-leading scientific tools, models, and data sources. All partner agent interactions and data outputs are captured within a single experimental record in the ELN, ensuring traceability and compliance. The platform is designed to be the last ELN iteration scientists will need, bridging today's laboratory workflows with a fully AI-driven future.