The problem
Vision teams still label by hand across disconnected tools — datasets drift, training waits, and costs climb with every frame.
Computer vision data platform
Label your data. Train your models. All in one place.
Vexa Labeling unites automatic labeling and model training — so your team ships vision products faster, without the usual back-and-forth.
Traction and platform capabilities
Why now
Manual labeling is slow, costly, and fragmented
The solution
Vexa Labeling brings auto-labeling, dataset prep, and in-app training into one platform — so you go from raw media to a model without tool-hopping.
Features
Everything you need to go from images to models
Every step your team does by hand today — labeling, versioning, augmenting, training — has a place in the product.
Smart Auto-Labeling
Turn raw images into labeled datasets automatically — a model makes the first pass, your team only reviews it.
Video to Labels
Paste a video link and get labeled frames back — fast, automatic, and ready to use.
Dataset Versions
Organize and track every iteration of your data so the whole team always works from the right version.
In-Dataset Augmentation
Expand your data with flip, rotate, crop, brightness, and noise — without leaving the platform.
Custom Data Splits
Divide your data into training and evaluation sets exactly how your project needs them.
Resolution Control
Standardize image size and resolution across your entire dataset in a single step.
Export Anywhere
Download datasets in YOLO, COCO, Pascal VOC, or JSON — ready for the tools your team already uses.
Train & Test In-App
Start a run, watch the curves as they come in, and test the result on new images — all in the project.
AI Assistant Ready
Create a project, label a folder, or kick off training by asking your assistant in plain language.
How it works
From raw media to production-ready models
Five stages, each handing off to the next — no export in between.
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Add your media
Upload images or drop in video links — the starting point for every vision project.
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Get labeled automatically
Your data comes back annotated in YOLO, COCO, Pascal VOC, or JSON — ready to review.
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Shape your dataset
Version, augment, and split your data exactly the way your project needs it.
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Train and validate
Run training and check results right in the platform — no context-switching required.
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Ship it your way
Export for your stack or connect to the AI tools you already code with.
Integrations
Plugs into the AI dev tools you already use
Vexa Labeling connects to Claude Code, Cursor, and Codex via MCP — your vision workflow stays right where you build.
One entry in your MCP config — no SDK to install, no glue code to maintain.
End-to-end advantage: from labeling to training, into the developer’s coding environment — a workflow competitors can’t match with labeling tools alone.
Claude Code
Cursor
Codex
Vexa Labeling
Comparison
How Vexa Labeling differs from the incumbents
The category leaders solve labeling at enterprise scale, and the public data communities solve discovery. Vexa Labeling closes the gap both leave open: the path from your own data to a trained model, inside the environment developers already work in.
| Criterion | Vexa Labeling | Roboflow | Labelbox | Scale AI | Kaggle |
|---|---|---|---|---|---|
| Core positioning | Label, train, and ship from one platform | Self-serve computer-vision platform | Enterprise data engine for labeling and evaluation | Managed labeling service with a human workforce | Public dataset and competition community |
| Inside AI coding tools | Native MCP server — Claude Code, Cursor, Codex | Not part of the product | Not part of the product | Not part of the product | Hosted notebooks only — no MCP integration |
| Labeling → training | One continuous flow, training and evaluation in-app | Training available in-platform | Geared to evaluation; training lives elsewhere | Delivers data; training happens on your side | No labeling; training runs in hosted notebooks |
| Self-hosted / on-prem | Available on every plan, including small teams | Enterprise tier | Enterprise tier | Enterprise engagement | Hosted only — datasets live on the platform |
| Commercial model | Usage-based, no seat minimum | Seat plus usage tiers | Annual enterprise contract | Priced per labeled item, service-led | Free and public-first — data is shared openly |
Comparison reflects each vendor’s publicly stated positioning; enterprise agreements may differ.
Data security
Your data stays yours
Built for teams that need control — from access policies to where processing happens.
Runs in your environment
Self-hosted and on-prem options so sensitive datasets never leave your environment.
Access control
Role-based access so only the right people see and edit project data.
Data ownership
You own your images, labels, and models — clear ownership, no lock-in surprises.
Pricing
Plans that grow with your team
Usage-based pricing — start small, scale when your datasets do. Talk to us for the right fit.
Starter
For individuals and early pilots exploring auto-labeling and in-app training.
On request
Talk to usMost teams
Team
Collaboration, dataset versions, and MCP integrations for growing vision teams.
On request
Talk to usEnterprise
Self-hosted / on-prem, SSO-ready access control, and dedicated support for large datasets.
On request
Talk to usTeam & support
An engineering team with academic backing
Vexa Labeling is built by the Sentiq R&D team at Bozok Teknopark, Yozgat — engineers working alongside academic researchers on computer-vision infrastructure.
Visit Sentiq-
Engineering-led
A full-time engineering team building the platform end to end — from the labeling engine to the training pipeline.
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Academic backing
Methods and model work grounded in academic research, with advisers from the university ecosystem around us.
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R&D at Bozok Teknopark
Operating inside a technology park, with the R&D infrastructure and support programmes that come with it.
Roadmap
What’s next, we go through together
Where the product goes next, what it takes to get there, and which market we go after first.
Product roadmap
Upcoming releases, the technical architecture behind them, and how the platform scales.
Business model
Pricing, unit economics, and the growth assumptions we are working against.
Market & positioning
Where we sit against the incumbents, which segments we target first, and why now.
Get the full roadmap
We’ll send materials ahead of the call and answer questions live.
Investment & partnership
Want to build this with us?
We are open to investors and strategic partners who want a stake in where computer-vision tooling goes next. Tell us which of these fits and we will take it from there.
Investment
Funding conversations, cap table, and the numbers behind the roadmap — shared under NDA in a working session.
Strategic partnership
Integration, reseller, and go-to-market partnerships with teams already serving vision-heavy industries.
Design partner
Shape the product against your own datasets and workflows before it is generally available.
Talk about investing
Goes straight to the founding team; the form opens with this topic already selected.
Want to see the whole picture?
Book a session and we’ll walk you through the product, how it works, and what sets it apart.
Book a sessionGet in touch
Request a meeting
Tell us what you’d like to cover and when you’re available — we’ll set up a time and present the product in full.