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Less wrangling, more science

Automate extraction, curation, and harmonization to make your data AI-ready

Biotech data is fragmented, forcing life sciences teams to spend countless hours manually extracting critical information from messy, semi-structured sources.

Data Fragmentation Visualization
Data un-fragmentation Visualization

Devano uses AI to bring structure to complex biomedical data

DevanoExtract

Our intelligence platform is designed for biotech and uses custom AI agents to extract, clean, map, and harmonize your data at scale

Platform Stack

Five layers of AI-native intelligence for biomedical data

1

Connect

Native biomedical resource integrations

Native integrations with core biomedical resources provide both direct API access and critical context for AI agent communication. Pre-built connectors handle authentication, rate limiting, and schema mapping so agents can seamlessly query across the biomedical knowledge graph.

Ensembl
PubMed
GEO
Human Protein Atlas
OpenTargets
ChEMBL
2

Extract

Multimodal agents for data transformation

Multimodal agents transform PDFs, spreadsheets, slide decks and unstructured and semi-structured data into clean JSON, leveraging connected resources to infer missing fields and latent metadata (e.g., species, cell line) from biomedical context and cross-reference entities in real-time.

3

Validate

Real-time quality engine with Devano Readiness Score

Real-time data quality engine computes the Devano Readiness Score for every dataset, measuring AI-readiness across dimensions like entity linkage completeness, ontology coverage, data standardization, and cross-reference density.

Entity linkage: 94%
Ontology coverage: 87%
Cross-reference density: 91%
4

Hydrate

Annotate, enrich and harmonize biomedical datasets

Agents dynamically connect data to biomedical ontologies and broader scientific context. Our agentic harmonization system figures out how to connect and merge disparate pieces of data.

5

Activate

High-performance JSON APIs and dynamic MCPs

High-performance JSON APIs (GraphQL & REST) expose "AI-ready" datasets to any downstream system—notebooks, BI tools, ML pipelines, or external applications—with sub-second query response times and flexible schema evolution. Want to plug directly into a GenAI, we can surface a model context protocol (MCP) server that lets you spin up Devano agents on-demand or stream hydrated records.

Ready to see how our platform can transform your biomedical data workflows?

Get Started

We're bringing the best of modern AI to modern biotech.

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