Build vehicle-processing workflows, not just isolated model calls.
Vehicore services work well as standalone endpoints. Their larger value appears when you chain them into configurable workflows that return one structured result across OCR, anonymization, damage detection, normalization, valuation, and other vehicle-specific processing steps.
Use a single service when
- You need one capability such as OCR, anonymization, or valuation.
- Your workflow logic already lives in your own application layer.
- You want to validate one model output before expanding the integration.
Use a pipeline when
- Multiple steps depend on each other in a defined order.
- You want one request and one combined structured response.
- You need clearer auditability for review, routing, or downstream automation.
One workflow request, one structured response
A pipeline lets you define the sequence once and receive the intermediate and final outputs in a stable format. This reduces orchestration code in the client and makes step-level auditability easier for production workflows.
Use pipelines when multiple steps depend on each other.
Expose step outputs for review, debugging, and downstream automation.
Keep privacy handling consistent across the whole processing chain.
Example combined output
Split into request and response views so the workflow is easy to scan.
{
"pipeline": [
{ "step": "ocr", "params": { "region": "plate" } },
{ "step": "anonymize", "params": { "mode": "all" } },
{ "step": "damage", "params": { "view": "side" } },
{ "step": "normalize", "params": {} }
],
"returnSteps": true
}Example pipelines by business use case
These examples are meant to show how modular services become workflow building blocks for serious B2B operations, not just one-off demos.
Insurance claims intake
From uploaded claim imagery to a review-ready structured claim object.
Structured claim-ready JSON with extracted text, privacy-safe imagery, and damage findings.
Auction condition workflow
Prepare vehicle imagery for condition reporting and downstream listing quality control.
View-aware findings, anonymized assets, and normalized vehicle context for review.
Marketplace listing enrichment
Turn dealer-uploaded photos into cleaner inventory records and pricing signals.
Structured vehicle data with pricing context ready for listing systems.
Fleet intake and routing
Use vehicle imagery to standardize incoming assets and route them downstream.
Structured metadata that can trigger the next operational workflow automatically.
Every workflow step is still a modular service
OCR
Read what’s on the car, not what the camera wished it saw.
Damage recognition
Turn “looks fine” into measurable findings.
Car Side Recognition
Know which side you’re looking at, and where the car actually is.
Image Classification (CLIP)
Tag what’s in the image with flexible, label-aware search.
Anonymization
Remove plates and faces without breaking your workflows.
Claim Standardization
Turn messy claim artifacts into one structured record.
Normalize to structured data
Messy text → clean vehicle record.
Market valuation
Price with context, not vibes.
Build pipeline logic and privacy posture together
Explore the trust foundations behind privacy-sensitive processing, then dive into docs or contact the team for architecture questions.