Image services — early access

Send images.
Get usable data back.

Captions, keywords, moderation flags, style variants, searchable indexes — whatever your images need to become useful. Runs on private hardware. No cloud APIs. No data leaving a controlled environment.

Request early access See what we process
NDA before every job 24–48hr turnaround Any volume CSV · JSON · XMP · ZIP
Who this is for
Stock contributors
Shutterstock wants 50 keywords per image
Manually tagging hundreds of images for Adobe Stock, Getty, or Shutterstock takes days. We generate IPTC-ready titles, descriptions, and keyword sets in bulk — XMP sidecars or CSV, submission-formatted.
Shutterstock Adobe Stock Getty / Alamy
ML teams
Training data needs labels before it's useful
We caption, tag, and quality-audit image datasets so you don't burn GPU time on bad data. Image-caption pairs, label alignment scoring, noise detection — delivered as structured CSV with confidence scores.
Caption generation Label validation Quality auditing
Ad & creative teams
A/B testing needs variations, not a photo shoot
Give us a winning creative and a brief. We generate style-consistent variants — same lighting, same aesthetic, different compositions — ready to run as separate ad variants without reshooting anything.
Style-matched batches Brand consistency A/B variant packs
Platforms & apps
User-uploaded content needs moderation before it goes live
Tell us your content policy in plain English. We score every image against it and return per-category verdicts — pass/fail with flagged categories, configurable thresholds, JSON output.
UGC platforms Ad networks Brand safety
What we process
Captioning
Auto-captioning & keywording
Every image gets a title, description, and up to 50 keywords. Ready to paste into Shutterstock, Adobe Stock, Getty, or your own CMS. We export XMP sidecars or CSV.
Stock photo submissions
Alt text at scale
CMS metadata population
SEO image descriptions
Prompt recovery
Description recovery from AI images
Have AI-generated images but lost the prompts? We analyse the image and return the closest descriptive text — useful for prompt libraries, recreating outputs, or documenting style briefs.
Prompt archiving
Reference image analysis
Style documentation
AI art alt text
Style variants
Style-matched image generation
Give us a reference image and a brief. We generate a batch that matches the same visual style, lighting, and aesthetic — on-brand, every time, no photo shoot required.
Ad creative A/B testing
On-brand product shots
Campaign visual packs
LoRA training data prep
Moderation
Content moderation against your policy
Describe your content policy in plain English. We score every image against it and return per-category verdicts with confidence scores — configurable thresholds, JSON output.
UGC pre-screening
Ad policy compliance
Brand safety review
Age-appropriate filtering
Deduplication
Archive deduplication
We scan your archive, cluster near-duplicates, and return a keep/remove report with a deduplicated output set. Works on any size archive — photographer catalogs, stock libraries, training datasets.
Catalog cleanup
DAM migration prep
Stock QC
Training dataset dedup
Visual search
Visual search indexing
Turn your image library into a searchable index. Find visually similar images by example, detect near-duplicates at scale, or power a "find similar" feature inside your own product.
IP protection search
E-commerce discovery
Archive similarity search
Style copying detection
Dataset audit
Dataset quality auditing
Training data is only as good as its labels. We score every image–label pair for alignment, flag low-confidence rows, and deliver a full audit report before you waste GPU time on bad data.
Pre-training validation
Label noise detection
Dataset certification
Caption alignment scoring
What you get back
Captioning output — CSV row confidence 0.94
filename product_shot_042.jpg
title Minimalist ceramic mug, wooden surface
description White ceramic mug on rustic oak,
soft natural light, shallow DOF
keywords coffee, ceramic, minimalist, white,
wooden table, natural light, lifestyle
... 43 more
kw_count 50
Moderation output — JSON 2 flagged
file ugc_1847.jpg
verdict PASS score 0.91
flags []

file ugc_1848.jpg
verdict FAIL score 0.31
flags graphic_violence 0.82
weapons 0.71
Dedup report — summary 3,644 removals
total 12,847
unique 9,203
clusters 1,241
removals 3,644
space 14.2 GB recovered

+ keep/remove CSV included
+ deduplicated ZIP on request
Dataset audit — flagged row 847 / 50k flagged
image train_09821.jpg
label "golden retriever playing fetch"
score 0.24 low alignment
issue appears to show border collie

+ full audit report PDF included
+ per-row CSV with all scores

Your images
stay private

Every job runs on private hardware. We don't use OpenAI, Google Vision, AWS Rekognition, or any other third-party API. Your images never leave a controlled environment.

This matters if you're working with proprietary product photos, unreleased creative, sensitive user content, or anything you'd rather not feed into a cloud provider's training pipeline. Most cloud vision APIs train on submitted data by default. We don't.

NDA on every project. Isolated environment per client — your images never touch another client's job. Data deleted on request after delivery.

0
Third-party APIs
NDA
Every project
24hr
Typical turnaround
100%
Private processing
Early access open

Tell us what you're working on

Early access clients get priority turnaround and direct input on what we build next. We'll get back within a few hours with a scope and price.

NDA sent before work begins.

Response within a few hours. NDA before work begins.