Custom object detection for production

Detekly builds computer-vision systems that work in the real world — from data labeling and model training to scalable deployment on your infrastructure.

Object detection visualization

Services

What we do

End-to-end object detection, tailored to your domain.

Custom detection models

YOLO, DETR, SAM and beyond — trained on your data to detect exactly what matters to your business.

Video analytics & tracking

Real-time tracking, counting, and behavior analysis. Multi-camera pipelines with re-identification.

Edge & cloud deployment

TensorRT, ONNX, CoreML. We ship models that hit your latency and cost targets, on your hardware or ours.

Data labeling pipelines

Semi-automated labeling with foundation models. Get to a high-quality dataset 10× faster.

Sports & motion analysis

Pose estimation, gait analysis, and event detection. Built on years of applied research.

CV consulting

Architecture reviews, vendor evaluation, and roadmap planning for teams investing in computer vision.

Why Detekly

Research-grade. Production-ready.

A small team. Deep focus.

We work with a handful of clients at a time so every project gets the attention it deserves.

Built by practitioners

We ship real systems, not slides. Every engagement ends with code your team owns and can extend.

Modern stack, pragmatic choices

We pick the simplest tool that meets your accuracy and latency budget — not the trendiest.

Honest about uncertainty

Computer vision is probabilistic. We tell you what's a solved problem and what isn't — before you commit.

How an engagement works

Step 1: Scoping call

We learn your use case, constraints, and what success looks like. You get an honest read on feasibility — for free.

Step 2: Prototype

A focused 2–4 week sprint to validate the approach on your data. You see real results before committing to more.

Step 3: Production

We harden the system, integrate with your stack, and document everything so your team can run it.

Step 4: Handoff & support

Optional retainer for model retraining, monitoring, and ongoing improvements as your data evolves.

Process diagram
40+
Models deployed
2B+
Frames analyzed
8
Years in CV
3wk
Avg. prototype time

Have a detection problem?
Let's talk.

Tell us about your use case. We'll reply within one business day with an honest read on whether we can help.