Computer vision agency Β· Europe-based

We teach machines to see β€”
so your team can act.

Fox AI Agency ships production-grade computer vision systems for teams that need real results, not demos. From a single reference image to millions of hours of video, we handle the models, the pipeline, and the operations.

Trusted for brand monitoring Β· retail intelligence Β· access control Β· safety Β· sponsorship analytics Β· marketplace policing

What we build

Vision systems, tailored to your problem.

Six focused detection services and a dedicated reverse-image-search engine. Pick one, combine several, or ask us to design something new.

Flagship product

Reverse Image Search

Find duplicates, near-duplicates, and visually similar images across your own catalog, targeted domains, or the open web. Six match modes β€” from bit-identical duplicates to shared style β€” tuned to what you actually want to find.

See the engine β†’
  • 100M+ images per index, sub-second queries
  • Recurring crawls on the domains you care about
  • Match by duplicate, element, style, or color
  • Hosted, self-hosted, or full-service monitoring
The agency

A small team with a narrow specialty: shipping vision.

We are computer vision engineers, not a generalist AI consultancy. Every project we take on ends with a working system in your hands β€” not a slide deck.

01 Β· Focus

Vision only

We work exclusively on image and video problems. Detection, recognition, retrieval, tracking β€” that is the entire menu, and we know it deeply.

DetectionRetrievalTrackingOCR
02 Β· Practice
What we do

End-to-end delivery

Data collection, annotation, training, inference infrastructure, monitoring β€” one team, one contract. No handoffs between "the ML people" and "the ops people".

DataTrainingInferenceMLOps
03 Β· Delivery

Your infra or ours

We host it, you host it, or we deliver the models and runbook for your team to operate. You pick β€” the models don't change.

Hosted APIOn-premEdgeManaged
How we work

From brief to production in weeks, not quarters.

A clear four-step process. No open-ended discovery phases, no month-long "alignment workshops".

1

Scoping call

Free 30-minute call to understand the use case, the data you have, and what "good enough" means for your team.

2

Data & prototype

We work on your data (or collect it), train a first model, and show you real predictions on real samples within days.

3

Iteration

You test on hold-out sets and edge cases. We tune, retrain, and harden until performance meets the bar we agreed on.

4

Deployment

Hosted API, on-prem stack, or edge devices β€” we ship, monitor, and stay on call for the first weeks of production.

Who we help

Teams that need vision to make a decision.

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Brand & IP protection

Track logos, product photos, and creatives across marketplaces, social platforms, and the open web.

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Industrial & safety

Automated PPE monitoring, defect detection, and process compliance from your existing camera fleet.

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Retail & e-commerce

Shelf audits, SKU counting, product recognition, and visual "more-like-this" search that actually works.

🚦

Mobility & access

ANPR for parking, tolling, and access control. Vehicle and traffic analytics from any road-side camera.

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Media & investigations

Trace where an image originated, verify authenticity, and monitor sponsorship exposure across broadcasts.

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Research & unique problems

Wildlife counts, medical imagery, agricultural monitoring β€” if it's visible, we can train a model for it.

FAQ

Quick answers.

Do you build custom models, or resell existing ones?

Both, depending on what fits. When a prebuilt model already solves your problem, we integrate it and skip the training bill. When it doesn't, we train from scratch on your data. We tell you upfront which one applies.

How much data do you need to start?

Sometimes zero β€” zero-shot and prebuilt models cover more ground than most people expect. For custom training we usually need a few hundred labelled examples per class; we help collect and annotate if you don't have them.

Do you host the models, or do we?

Your call. We run a hosted API and dashboard if you want the fastest path, deploy to your cloud or on-prem for data-sensitive use cases, or hand over models and a runbook for your team to operate.

How long does a typical project take?

Prebuilt models: days. Custom detection or recognition models: two to four weeks from scoping to a validated model in production. Large-scale monitoring or retrieval systems: four to eight weeks.

What does it cost?

Hosted services: monthly rate based on volume. Custom projects: a fixed delivery fee plus optional ongoing support. Send us your scope on the form below and we come back with a written quote β€” no phone-tag required.

Let's talk

Tell us about your project.

Describe the problem, the data you already have, and what a good outcome looks like β€” we come back with a plan and a quote.

No spam, ever