Clean, connected, discovery-ready biomedical data

Built for life science teams and AI agents.

Devano is the context layer that makes fragmented biomedical data usable for humans and intelligible to AI agents—across research, discovery, and strategy.

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What We Do

How Devano builds clean, connected biomedical context

INGEST & STRUCTURE

Ingest & Structure

Bring together fragmented biomedical inputs—PDFs, spreadsheets, repositories, and supplements—and impose consistent structure. We align terminology, normalize metadata, and map key fields so data can be compared, searched, and reused across projects.

Scattered, unorganized biomedical data
HYDRATE WITH AGENTS

Hydrate with Agents

AI agents build the missing context raw data doesn't include. They infer experimental details, enrich records with biological meaning, attach ontology-backed annotations, and surface ambiguities—turning structured data into something teams and agents can actually reason over.

Always on AI agents processing biomedical data
CONNECTED DATA

Connect Entities & Provenance

Devano links entities across datasets—genes, diseases, tissues, cohorts, interventions—and ties them back to evidence. Relationships, sources, and assumptions stay connected, so context isn't lost as data moves between teams, analyses, or agents.

Structured, organized biomedical data
BIOMEDICAL CONTEXT LAYER

A Biomedical Context Layer

All of this lives in a shared biomedical context layer—not a one-off dataset. This compounds, persists, and evolves over time, giving both humans and AI agents a stable foundation they can return to as questions change.

The biomedical context layer

Use Cases

How teams use shared biomedical context across research and strategy

Target Development

Discovery & Validation

  • • Explore gene–disease relationships using consistently structured and annotated datasets
  • • Compare signals across studies without re-interpreting metadata each time
Preclinical & Safety Assessment

Preclinical & Safety Assessment

  • • Understand safety signals in context by linking reports, cohorts, and experimental conditions
  • • Reuse prior annotations and interpretations as new data becomes available
Business Development

Indication & Asset Evaluation

  • • Evaluate opportunities using a shared view of diseases, cohorts, endpoints, investigators, and evidence
  • • Ground due diligence and strategy in connected internal and external context—not ad hoc spreadsheets
Translational Strategy

From Omics to Clinic

  • • Reason across omics, cohorts, and trials using a common representation of entities and endpoints
  • • Carry biological and experimental context forward as programs move stages
Enterprise Knowledge Enablement

Enterprise Knowledge Enablement

  • • Establish a shared biomedical foundation teams can query, reference, and extend
  • • Reduce repeated interpretation across functions by preserving context once
Custom Domains & Internal Data

Custom Domains & Internal Data

  • • Apply the same context layer to proprietary formats, terminologies, and internal standards
  • • Let institutional knowledge live alongside public data in one connected system

Why Devano

Why teams choose Devano to make biomedical data usable

Make Data Usable

Devano captures and preserves the implicit relationships that usually live in people's heads or one-off analyses. Instead of repeatedly reinterpreting data, teams work from a shared foundation that accumulates understanding over time.

Built for Trust & Reuse

Data is linked back to sources, evidence, and assumptions. Teams can see how interpretations were formed and reuse them confidently—without treating each new question as a blank slate.

Grows with Your Questions

Devano isn't a fixed pipeline or bespoke project. The context layer expands as new data, domains, and questions appear—without redesigning everything or starting over.

Designed for Humans + Agents

Scientists, analysts, and AI agents all work against the same underlying context layer. That shared representation reduces duplication, improves consistency, and lets automation build on—not replace—human understanding.

Why We Started Devano

Driven by Science, Built for Scientists

Our Mission

Science is our compass.

We started Devano to remove the data friction that slows discovery. Our goal is simple: make biomedical data useful by capturing the context—meaning, structure, and provenance—that teams need to work quickly and correctly.

Customer Impact

From public data to discovery.

Teams use Devano to bring complex public and proprietary datasets into a clean, connected foundation—so scientists can move faster without sacrificing rigor.

How We Build

Solving problems with purpose.

We build for correctness first: clear provenance, reproducible representations, and systems that get better with use. Agents help scale work, but trust and traceability stay at the core.

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Ready to make biomedical data useful?

Start a pilot or talk with our team about how Devano can help you build clean, connected, discovery-ready biomedical data.

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