How We Work
Good data starts with a clear process. Most models fail on messy labels, not on maths. At NextAI Pros, a small team checks the work, then checks it again, before it reaches you.
Trained Annotators
Blueprints Annotated (ongoing)
Vehicle Images Annotated
Our 6-Step Process
Here is how a project moves, step by step, from your first message to files you can train on. See our annotation services
Inquiry and a 30-minute discovery call
Tell us the data type, the label classes, the volume and the deadline. That call keeps the rest simple.
Pilot batch to lock the guidelines
We start small, look at what comes back, and agree the rules before the main work begins, so the guidelines are locked in place before the main work starts.
Guideline and workflow setup
This is where the taxonomy, the edge cases and the tool setup get written down. If a case is unclear, it gets decided here, not halfway through a batch.
Production annotation
Trained annotators work through the data under a project manager. One manager stays your contact, so you do not chase five people for one answer.
Three-stage QA and corrections
Every batch passes three review stages. Errors go back for correction before delivery, and nothing is delivered until the batch meets the 98%+ accuracy target.
Delivery, then feedback and iteration
You get the files in your format. If something needs changing, tell us. We fix it and carry the lesson into the next batch.
Why Choose NextAI Pros for Data Annotation Solutions?
Single Project Manager Contact
You talk to one project manager, not a queue. That manager knows your guidelines, your edge cases and your deadline.
30+ Trained Annotators
The team is 30+ trained annotators with 8 project managers. The work is not passed around without a name on it — one manager owns each project.
98%+ Three-Stage QA
Quality is checked in three stages, with corrections before delivery. The target is 98%+ accuracy, and every batch is checked before it goes out.
Named Tools
We work in CVAT, Roboflow, Label Studio, LabelMe and Supervisely. The tool is picked for your data, not the other way round — the right tool for each job.
Delivery in Your Format
Files come back in COCO JSON, YOLO or Pascal VOC, in the format you asked for at the start — ready to train on, with no reformatting needed.
Pilot Before Production
We start small with a pilot batch and agree the rules before the main work begins, so production starts on a clear, agreed set of rules.
Volume Proof
RV/vehicle data 50,000+, blueprints 100,000+ ongoing, video frames 30,000+, self-driving cars 40,000+ and tree and vegetation data 40,000+.
Image, Video and Text Annotation
The same process covers image, video and text annotation — bounding box, polygon, segmentation, keypoint.
Tools we use, formats you get back
Tools we use
● CVAT
● Roboflow
● Label Studio
● LabelMe
● Supervisely
Formats you get back
● COCO JSON
● YOLO
● Pascal VOC
Files come back in the format you asked for at the start.
That covers image annotation and video annotation, and the other services listed below.
What we have labelled, in numbers
These are counts from work already done, not targets. Tree and vegetation data: 40,000+. Big batches still go through the same six steps and the same three-stage QA.
RV and vehicle data
Construction blueprints (ongoing)
Video frames
Self-driving car data
Services this process covers
● Bounding box
● Semantic segmentation
● Video annotation
For detail, see image annotation, video annotation, text annotation and the full services list. Other techniques above are named only, as no separate verified page was used for them.
Questions people ask before they start
Do we start with a call?
Yes, a 30-minute discovery call first, covering data type, label classes, volume and deadline. Book a discovery call
What if our guidelines are not final?
That is what the pilot batch is for. We lock guidelines before production.
How is quality checked?
In three stages, with corrections before delivery, targeting 98%+ accuracy.
What formats will we receive?
COCO JSON, YOLO or Pascal VOC, in your format.
Who do we talk to during the project?
One project manager, with 30+ annotators and 8 project managers behind the work.
What if we need changes after delivery?
Tell us. Feedback and iteration are step six, not an extra.
Start with a 30-minute call
What to send in your first email
Your data type, your label classes, a rough volume and your deadline. That is enough to start. If you are not sure about a class or an edge case, say so. We sort that in the pilot, not after delivery.
Email info@nextaipros.com or use the contact page.