MAEA

Build and deploy medical AI in one workflow.

Prepare data, annotate faster, train models, validate performance, and deploy with healthcare-ready traceability.

MAEA is ModAstera's end-to-end platform for medical AI teams. It brings together annotation, experimentation, evaluation, deployment, and documentation so teams stop rebuilding the pipeline around every project.

MAEA Platform
AI Engineering Agent
Research
Model Training and evaluation
Model Deployment

Why teams switch from fragmented workflows

Medical AI teams often juggle separate annotation tools, experiment infrastructure, deployment handoffs, and compliance documents. MAEA brings those stages into one operating surface so projects move with fewer delays and fewer specialist bottlenecks.

Annotation, training, and deployment live in separate tools.

Teams lose time to manual experiment setup and repeated handoffs.

Operational and compliance records are assembled after the fact.

Domain experts depend heavily on scarce ML infrastructure support.

Annotation

Start with training-ready data

High-quality medical AI starts with high-quality data preparation. MAEA includes AI-assisted annotation workflows so teams can create cleaner datasets without turning labeling into the whole project.

  • Faster annotation with assistive labeling and review loops
  • Cleaner datasets with lineage, version history, and auditability
  • A smoother handoff from dataset preparation into training and deployment

Annotation capabilities inside MAEA

Few-shot assisted labeling

Start with a small set of examples and expand to larger datasets with AI-generated draft labels.

Active learning and review

Focus expert attention on uncertain cases, approve corrections quickly, and improve the next batch.

Clinical-grade quality control

Support review flows, dataset versioning, and traceability that help teams prepare for downstream evaluation and compliance work.

How the annotation stage works

01

Upload and frame the task

Bring in imaging or clinical datasets and define the labeling objective for your project.

02

Review AI-assisted drafts

Experts correct boundaries, approve suggestions, and focus on the cases that need human judgment.

03

Move directly into training

Use the prepared dataset in the same product flow to train, evaluate, and deploy models.

Supported data and modalities

Radiology: X-ray, CT, MRI, ultrasound, and DICOM/NIfTI-derived image exports
Pathology: whole-slide imaging workflows and tiled image review
Ophthalmology and other visual modalities such as fundus or OCT imagery
Annotation types such as segmentation, detection, classification, and keypoints

There's a plan for every team size

Select the perfect plan for your healthcare AI development needs

Starter

Try out the full features for 14 days. No payment needed.

  • ->Manage datasets and annotate with unlimited AI-assist
  • ->Train unlimited predictive models
  • ->Storage up to 10 GB
  • ->Deploy models in one-click with API access
  • ->Collaborative workspace with teammates
  • ->GPU-based model training
  • ->Organization-level administration
Start Trial

Team

Popular

Perfect for researchers and small teams

  • ->Manage datasets and annotate with unlimited AI-assist
  • ->Train unlimited predictive models
  • ->Storage up to 10 GB
  • ->Deploy models in one-click with API access
  • ->Collaborative workspace with teammates
  • ->GPU-based model training
  • ->Organization-level administration

Enterprise

For large-scale deployments

  • ->Custom setup
  • ->Unlimited everything
  • ->Dedicated support
  • ->Custom integrations
  • ->SLA guarantees
MAEA AI Workflow Platform | ModAstera