The Sapio ELaiN Ecosystem
Specialized AI models, agents, and tools you trust. All in the 3rd gen AI Lab Notebook (AILN)
One AI prompt, many scientific tools
The Sapio ELaiN partner ecosystem reinforces ELaiN’s role as the next-generation AILN and expert AI co-scientist. By natively integrating specialized data and scientific tools, the ELaiN ecosystem empowers scientists to use the technologies they rely on most, all within one, secure AI co-scientist prompt.
Unify your tools, accelerate your research
The ELaiN ecosystem brings scientists, tools, and AI together so that your work moves in harmony.
One, unified system
Switching between systems stalls progress. ELaiN brings the tools you need into a single experimental record, without lost context.
Secure AI
Scientists already rely on public AI tools in their work, which puts data at risk. ELaiN powers your workflows with AI while keeping your sensitive information secure.
Rapid experiment setup
Spend less time on admin, and more time on meaningful research. Describe your next move with natural language prompts, and ELaiN accesses the tools you need to execute.
Meet our ecosystem partners
Our growing partner ecosystem includes leading predictive analytics solutions, structure-based design tools, AI infrastructure models, and more. Explore the specialized tools and solutions available in Sapio ELaiN today.
AI infrastructure and foundation models
Secure computing platforms and foundation models that enable advanced reasoning, simulation, and decision support
AWS
AWS provides secure, scalable cloud infrastructure that underpins modern scientific and enterprise workloads. Its global reliability, security controls, and compliance frameworks support regulated research environments.
Through its Bedrock service, AWS enables access to managed foundation models that support in-lab decision-making and scientific reasoning within a governed environment, allowing advanced AI capabilities to be applied within scientific workflows while maintaining data control.
NVIDIA
NVIDIA provides AI infrastructure and domain-specific models optimized for scientific workloads in life sciences and drug discovery. Its technologies support the application of advanced AI and simulation techniques across research domains.
Through BioNeMo, including DiffDock and MolMIM, NVIDIA supports structure-based design within ELaiN, enabling docking and molecular generation methods to be applied as part of existing scientific workflows.
Molecular modeling and structure-based design
Computational chemistry, molecular modeling, and structure-based design tools that guide compound design
Cadence Molecular Sciences (OpenEye)
https://www.cadence.com / https://www.eyesopen.com
Cadence Molecular Sciences, through its OpenEye platform and Orion cloud environment, provides computational chemistry solutions widely used across drug discovery and molecular design.
OpenEye extends ELaiN with cheminformatics, molecular modeling, and cloud-based discovery tools that support ligand- and structure-based research directly within the notebook, bringing structure-led workflows into day-to-day scientific work.
CCDC (Cambridge Crystallographic Data Centre)
The Cambridge Crystallographic Data Centre is a not-for-profit organization recognized for its stewardship of crystallographic data and as the home of the Cambridge Structural Database.
Within ELaiN, CCDC supports structure-based design through access to crystallographic data and tools for 3D molecule analysis, including GOLD for protein–ligand docking, enabling structure-led decision-making alongside experimental records.
Optibrium
Optibrium develops predictive modeling and decision analysis software used across medicinal chemistry and discovery research to support compound design and optimization.
Its tools integrate with ELaiN to enable compound optimization and multi-parameter data visualization in the context of experiments, helping scientists balance potency, selectivity, and developability considerations.
Schrödinger
Schrödinger delivers physics-based modeling and molecular simulation tools widely used in drug discovery and materials science to support molecular insight and prediction.
By connecting these capabilities to ELaiN, researchers can apply structure-guided design methods within their existing workflow, supporting modeling, property prediction, and informed experimental decision-making.
Simulations Plus
https://www.simulations-plus.com
Simulations Plus develops modeling and simulation software used to assess pharmacokinetics, drug safety, and efficacy across discovery and development.
Within ELaiN, Simulations Plus enables in silico compound evaluation and drug metabolism assessment through AI-powered predictive modeling and ADMET tools, supporting earlier and more informed scientific decisions.
Scientific knowledge, chemistry, and semantic discovery
Trusted scientific data, curated knowledge, and semantic technologies connecting literature to experimental context
Elsevier & Scibite
https://www.elsevier.com / https://scibite.com
Elsevier provides trusted content, data, and analytics that support scientific research across disciplines and discovery domains. The Scibite semantic infrastructure helps scientists to answer business-critical questions by the use of advanced analytics on unstructured data.
Through its integration with ELaiN, Elsevier delivers semantic enrichment, ontology-driven discovery, and structure-aware search, allowing scientists to link literature and chemistry intelligence directly to experimental work.
Biological insight and predictive analytics
Biological data and predictive models that support target discovery, translational research, and data-driven decision-making
MedBioInformatics (DISGENET)
https://medbioinformatics.com / https://disgenet.com
MedBioInformatics focuses on integrating genetic, genomic, and biomedical knowledge to support translational research and drug discovery by processing genetic/genomic data such as variants, gene associations, and pathways.
Through DISGENET, disease genomics and phenotype association data are made available within ELaiN, supporting target discovery and disease association studies alongside experimental validation data and functional studies.