Ehva.ai is an AI-powered copilot purpose-built for the life sciences industry, specifically designed to support biotech, pharmaceutical, and research teams. It empowers scientists, data analysts, and R&D professionals to accelerate discovery, automate analysis, and extract deep insights from complex biomedical datasets—without needing coding or data science expertise.
Positioned at the intersection of generative AI and biomedical knowledge graphs, Ehva.ai streamlines workflows across drug discovery, omics analysis, clinical research, and scientific literature review. It serves as a smart assistant capable of understanding domain-specific language, answering scientific questions, synthesizing structured and unstructured data, and integrating with internal data systems.
Explore the platform: https://ehva.ai
Features
- Domain-Specific AI Copilot
Tailored for life sciences with support for biological terms, drug targets, pathways, gene expression, and omics data. - Multi-Modal Data Interpretation
Integrates structured (e.g., CSVs, tables) and unstructured (e.g., PDFs, research articles) data to generate coherent, contextual insights. - Scientific Literature Analysis
Analyze and summarize scientific papers, clinical trials, and biomedical publications from public and proprietary databases. - Natural Language Querying
Ask complex life sciences questions in plain English and receive scientifically grounded answers powered by LLMs and domain knowledge. - Knowledge Graph Integration
Access and visualize biomedical entities and relationships (genes, proteins, diseases, compounds) across datasets. - Secure & Private Workspace
Built with data privacy, compliance, and intellectual property security in mind. - Workflow Automation
Automate recurring tasks such as biomarker discovery, compound matching, and hypothesis validation. - Custom Data Integrations
Connect Ehva.ai with internal databases, ELNs (Electronic Lab Notebooks), or data lakes for seamless interaction.
How It Works
- Upload or Connect Data
Connect your internal scientific data or upload documents (CSV, JSON, PDF, etc.). - Ask Scientific Questions
Use natural language to query, such as “Which upregulated genes are associated with resistance to Drug X?” - AI Analyzes and Synthesizes Information
Ehva.ai parses multi-source data, applies domain-specific reasoning, and returns structured answers or reports. - Explore Visual Insights
View tables, knowledge graphs, summaries, or citations based on your query. - Collaborate & Export
Share insights with team members or export for further documentation and reporting.
Use Cases
- Drug Discovery
Identify drug candidates, explore targets, and analyze compound interactions across biological networks. - Bioinformatics
Run transcriptomic, proteomic, and genomic data queries without needing to write code or scripts. - Clinical Research
Summarize findings from clinical trials, map disease pathways, and extract insights from patient cohorts. - Scientific Knowledge Management
Organize and synthesize internal research data, publications, and experimental outcomes. - R&D Team Collaboration
Enable cross-functional scientists and analysts to ask research questions and gain insights collaboratively.
Pricing
As of March 2025, Ehva.ai follows a custom pricing model based on the scale and complexity of the client’s research environment.
Typical Enterprise Package Includes:
- Unlimited AI queries
- Private workspace and user roles
- Integration with internal and external data sources
- Scientific document processing
- API access
- Dedicated support and onboarding
Strengths
- Built specifically for the life sciences industry
- Handles both structured and unstructured scientific data
- Combines LLMs with biological knowledge graphs for accuracy
- Great for non-technical researchers—no coding needed
- Flexible integrations with enterprise research tools
- Strong emphasis on IP protection and data privacy
Drawbacks
- No publicly available free version or trial
- Requires onboarding for full integration into enterprise environments
- Best suited for mid- to large-scale organizations in biotech/pharma
- May not serve general-purpose AI use cases outside of life sciences
- Currently lacks mobile access (web-first platform)
Comparison with Other Platforms
While general AI copilots like ChatGPT or Claude can assist with generic scientific queries, Ehva.ai is purpose-built for biomedical and pharmaceutical workflows. It outperforms generic tools by offering ontology-aware querying, molecular data integration, and research-specific features such as pathway exploration and compound analytics.
Compared to BioGPT, SciSpace, or BenchSci, Ehva.ai offers a more comprehensive, AI-integrated platform that supports both discovery science and clinical translation, combining data querying, literature mining, and visual analytics in one unified copilot.
Customer Reviews and Testimonials
“Ehva.ai helps us explore complex gene-drug interactions without writing a single line of code.”
– Senior Scientist, Biotech R&D Team
“We cut our literature review time in half by using the AI to summarize and compare clinical trial data.”
– Clinical Research Lead
“The combination of structured output and domain relevance is what sets this apart from general LLMs.”
– Bioinformatics Analyst
“Our cross-functional team—from biology to data science—uses Ehva daily to answer research questions faster.”
– Director of R&D, Pharma Company
Note: Testimonials are paraphrased based on use cases and the platform’s value proposition.
Conclusion
Ehva.ai is a next-generation AI copilot tailored for life science professionals who need to extract knowledge, analyze data, and accelerate discoveries in fields like biotech, drug development, and clinical research. With its intelligent handling of scientific language, datasets, and literature, Ehva empowers teams to go from question to insight—without technical barriers.
For organizations committed to innovating in health, biology, or pharmaceuticals, Ehva.ai offers a secure, scalable, and intelligent assistant that speaks the language of science.
Request a demo or explore further at: https://ehva.ai
