Services that get you to accurate, production-ready pathology AI—fast.

Whether you need expertly labeled datasets, a push to accelerate training, or a fully custom model for detection and analysis, we partner with your team end-to-end.

Start a pilot
Full-Service Data & Labeling — We build your ground truth from scratch.
Guided Labeling on Your Spec — You define the schema, we execute at scale.
Model Training Accelerator — Hand us your data—get a trained model back.
Pretrained or Your Base Model — Start from Pathbox presets or bring your own.

Choose your starting point

Train with our pretrained models or use your base models—we support both paths with clear, reproducible pipelines.

Pathbox Pretrained
  • Warm-start with pathology-tuned backbones (segmentation, detection, classification).
  • Fast convergence, strong baselines; great for pilots.
  • Freeze backbone, partial fine-tune, or full fine-tune.
Bring Your Base Model
  • Fine-tune ResNet/ViT/U-Net/Detectron2/SAM variants.
  • Adapters/LoRA options for constrained compute or privacy.
  • Packaged for Pathbox + QuPath or your own inference stack.

Service catalog

Four clear offerings based on how teams actually work—pick one or combine them.

1) Full-Service Data & Labeling

Full-Service Data & Labeling

We provide the data pipeline and the expert labeling team to create a high-quality training set tailored to your goals.

Who it's for: Teams starting from zero or with scattered data.
Inputs we need: Target definitions, inclusion/exclusion criteria.
Timeline: Varies by project scope and complexity.

Deliverables

  • Dataset sourcing/ingest (WSI/tiles), de-identification, and QC.
  • Annotation schema design, pilot labels, consensus guidelines.
  • Expert labeling, adjudication, inter-rater agreement reporting.
  • Exports: WSIs/tiles + JSON/GeoJSON labels + audit logs.
  • Optional: pseudo-labels from pretrained models to boost throughput.

Add-ons

Scanner/LIS integration, S3 storage, viewer access. Pre-label assistance with existing models.

Request a quote
2) Guided Labeling on Your Data

Guided Labeling on Your Data

You bring the WSIs and the requirements; we help you label quickly and consistently at scale.

Who it's for: Labs and biopharma with data in place.
Inputs we need: Schema, examples, acceptance thresholds.
Timeline: Flexible sprint-based approach.

Deliverables

  • Multi-expert labeling with QA and conflict adjudication.
  • Tiled workflows that preserve WSI context.
  • Metrics: per-class precision/recall, agreement stats, label drift alerts.
  • Direct handoff into your training pipeline or ours.
Kick off a sprint
3) Model Training Accelerator

Model Training Accelerator

Accelerate your model training by letting us train your model—fast, reproducible, and benchmarked.

Who it's for: Teams that want results without devoting internal ML bandwidth.
Inputs we need: Data splits, task definition, KPIs.
Timeline: Depends on data complexity and requirements.

Deliverables

  • Training/validation with experiment tracking.
  • Baseline + ablations; hyperparameter search; early stopping.
  • Starting point: Pathbox pretrained or your base models (ResNet/ViT/U-Net/Detectron2/SAM).
  • Delivery: packaged model (Pathbox/QuPath compatible) + inference API.
Start training
4) Custom Model Development

Custom Model Development

Purpose-built detection & analysis for exactly what you need to find—cells, regions, artifacts, or novel patterns.

Who it's for: Labs & biopharma seeking production-grade models.
Inputs we need: Clinical context, annotation samples, target KPIs.
Timeline: Multi-phase approach with pilot and scale-up.

Deliverables

  • Problem scoping and feasibility with success criteria.
  • Model architecture selection (segmentation/classification/detection).
  • Validation plan (holdouts, cross-site, robustness & bias checks).
  • Starting point: Pathbox pretrained or your base models; freeze/partial/full fine-tune; LoRA/adapter options.
  • Packaging: versioned artifact, endpoints, monitoring.

Add-ons

Integration & MLOps (cloud/on-prem), SSO/RBAC, audit logging. Regulatory readiness support (protocols, SOPs, validation docs).

Discuss your use case

How we work

1

Discover

Share your goals, data shape, constraints, and success metrics.

2

Scope

Plan with timeline, deliverables, and milestones.

3

Execute

Label, train, validate—weekly updates and demo checkpoints.

4

Deliver & Iterate

Handover artifacts and integrate feedback.

Ready to get started?

Tell us your use case and timeline—we'll propose the fastest path to a validated result.

Start a pilot