AI-native target discovery

Find the targets to actually reach the disease.

Cavatar's AVATAR platform integrates AI with your proteomic and mass-spectrometry data — and our proprietary atlas of tissue-accessible targets — to surface the most druggable, deliverable targets in days, not years. No dead-ends, no guesswork.

Cavatar caveolae pumping system TUMOR CELL LUNG · APP2 TUMOR · AnnA1
Caveolae pumping: a caveolae-targeting antibody crosses the vessel wall and concentrates in target tissue — APP2 in lung, AnnA1 in tumor.
100+

Endothelial & caveolae antigens mapped

20+ yrs

Of proprietary proteomic data

5

Nature-family publications

In-vivo

Validated, not just in-silico

Why biotechs choose Cavatar

The AI target platform for teams that can't afford to bet wrong.

  • AI Target Scoring
  • Mass-Spec Mining
  • Accessibility Atlas
  • Delivery-Aware
  • Nanotech-Ready
  • In-Vivo Validated
  • Bioinformatics-Native
  • No Dead-Ends
Feature 01

AI-Powered Target Scoring

Our models rank every candidate on druggability AND real vascular accessibility, so your team starts on targets a therapeutic can physically reach — at safe doses.

Feature 02

Mass-Spec → Insight Pipeline

Bring your raw proteomic and mass-spec data; AVATAR turns it into a ranked, evidence-backed target shortlist. No manual triage, no spreadsheet archaeology.

Feature 03

Delivery-Aware Discovery

Most platforms score whether a protein is present. We score whether you can get to it — the difference between a target on paper and a therapeutic that works in the body.

Platform snapshot

Every target ranked by what actually matters.

Druggability, tissue accessibility, and delivery-format fit — with the evidence behind every call.

avatar · ranked targets
Illustrative example — not customer data
TargetTissueAccessibilityDruggabilityConfidenceRecommended modality
ANXA1 (truncated)Tumor endothelium
92
88
94Antibody / ADC
APP2Lung microvascular
90
87
91Antibody / bispecific
How AVATAR works

From raw data to a ranked, validated target.

  1. Step 01

    Connect Data

    Stream your mass-spectrometry and proteomic data into an isolated workspace, or start from Cavatar's atlas of accessible targets.

  2. Step 02

    AI Mining

    Our models score every candidate for druggability, tissue accessibility, and delivery-format fit against 20+ years of in-vivo-validated data.

  3. Step 03

    Get Ranked Targets

    Receive a curated shortlist — each target with its evidence, a confidence score, and a recommended delivery route.

  4. Step 04

    Validate & Advance

    Optionally validate the top hits in vivo through our wet lab, then export the results straight into your pipeline.

Built on two decades of research published in Nature, Nature Medicine, Nature Biotechnology, Nature Nanotechnology, and the Journal of Vascular Research.

Proven in vivo

~15% injected dose per gram in tumor at 1 hour — over 100× a non-targeting antibody, with under 1% in normal organs.

Oh et al., Nature Medicine (2014)

Proven in vivo

>80% first-pass lung extraction, with lung concentration ~4× peak blood; caveolin-1 knockdown abolishes transport.

Chrastina et al., J. Vascular Research (2010) · Nayak/Chrastina et al., Nature Nanotechnology (2025)

FAQ

Questions, answered.

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