FAQ

Frequently Asked Questions

Everything you need to know about Elnora, the AI agent for biomedical lab protocols.

What is Elnora?

Elnora is an AI agent that generates and optimizes biomedical lab protocols for biotech and pharmaceutical teams. She integrates into your workflow like a new team member—handling routine protocol work so scientists can focus on higher-value research. Unlike chatbots, Elnora is a true autonomous agent that can perform end-to-end tasks: literature review, database search, protocol drafting, and optimization.

How is Elnora different from other AI tools?

Elnora has two key differentiators: First, she learns from failed experiments—most labs discard negative data, but Elnora treats every result as valuable learning. Second, she works autonomously end-to-end, not just answering questions but actually doing the work: searching literature, drafting protocols, and optimizing based on your feedback. She also integrates seamlessly with existing tools via MCP servers and APIs.

What types of protocols can Elnora help with?

Elnora supports a wide range of biomedical protocols including: cell culture (cell line onboarding, iPSC differentiation, organoids, 3D culture), assay development (design, optimization, plate layouts), transfection and gene editing (CRISPR protocols, plasmid prep, viral transduction), protein expression (purification workflows, buffer optimization), flow cytometry (panel design, staining protocols), and molecular biology (PCR, cloning, primer design).

How does Elnora integrate with my existing lab systems?

Elnora connects to your existing tools through APIs and MCP (Model Context Protocol) servers. She integrates with electronic lab notebooks (Benchling, Signals), LIMS systems, communication tools (Slack, Microsoft Teams), cloud storage (Google Drive, OneDrive), and literature databases (PubMed). She works with your existing data formats and delivers outputs the same way.

Is my data safe with Elnora?

Yes. Elnora is enterprise-ready with security as a priority. Key features include: complete data isolation per customer, your data is NEVER used for model training, SOC 2 Type II and ISO 27001 certifications in progress, role-based access controls, comprehensive audit logging, and IP whitelisting. Elnora uses a multi-LLM architecture with providers (Anthropic, OpenAI via Azure, Google) that have agreements prohibiting training on your data.

Who is Elnora built for?

Elnora is built for life sciences teams doing early discovery through pre-clinical research. This includes pharmaceutical companies (large-scale drug discovery), biotech companies (seed stage to commercial), contract research organizations (CROs), and academic research labs. If your team spends significant time on protocol development and optimization, Elnora can help.

How much does Elnora cost?

Elnora is an enterprise product with custom pricing based on your team's needs. All plans include enterprise-grade security, integrations, and support. Contact us for a demo and pricing information tailored to your organization.

How do I get started with Elnora?

Getting started is simple: Contact us for a demo, where we'll show you how Elnora works with your specific use cases. If it's a fit, you'll start with a paid pilot period to prove value with your team. Elnora integrates with your existing tools, so there's minimal setup required.

Can Elnora replace my scientists?

No—and that's not the goal. Elnora enhances scientists, not replaces them. She handles repetitive protocol work so your researchers can focus on what matters most: bold ideas, creative problem-solving, and breakthrough discoveries. Scientists who work with Elnora become more productive and can explore more possibilities. The future belongs to human + AI teams working together.

What AI models does Elnora use?

Elnora uses a multi-LLM architecture, leveraging models from Anthropic (Claude), OpenAI (via Microsoft Azure), and Google (Gemini). This allows Elnora to use the best model for each task and provides redundancy. All providers have agreements that prohibit training on customer data.

Have more questions? We'd love to hear from you.