In-house AI workflow engine

Build reviewed datasets, trained models, and delivery-ready results faster

TjMakeBot helps autonomous-driving, robotics, and embodied-AI teams manage 2D/3D annotation, human review, cloud training, model export, and delivery in one platform.

2D annotation3D point cloudAI Auto-AnnotationCloud training
First time here? Try the 2D / 3D samples ->
Use sample data to feel the workflow first, then decide whether to upload your own images, point clouds, or move into automation.
Use the AnnoClaw console for uploads, routing, human review, and automated delivery.
View TutorialsSee plans
10,000+
users worldwide
5M+
images annotated
50,000+
datasets exported
Use the AnnoClaw console for uploads, routing, human review, and automated delivery.
Quick demo

First time here? Try the 2D / 3D samples

Start with self-serve 2D/3D Studio, move into AnnoClaw Workflow, or talk to us about Enterprise Gateway and private deployment.

2D annotationCloud trainingModel exportHuman review checkpoint

Start 2D annotation

Put video decoding, AI pre-labeling, human review, and training handoff in one workflow instead of across multiple systems.

  • Includes review decisions, object list, issue notes, and version metadata.
  • Model files, export formats, key metrics, download links, and runtime status.
  • Keep video, labeling, review, and training connected in one workflow.
3D point cloud3D point-cloud workflowModel exportDelivery

Start 3D annotation

Build a closed loop around 2D images, 3D point clouds, low-confidence fallback, human review, training/export, and delivery summaries.

  • Model files, export formats, key metrics, download links, and runtime status.
  • A standard summary for acceptance, reporting, and customer handoff instead of a raw link.
  • Better suited to teams that buy results, not just a generic tool
Features

One platform for 2D/3D annotation, review, training, and export

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AI Auto-Annotation

Describe what to annotate, AI does the rest

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Human review checkpoint

Let AI move fast and humans hold the key checkpoints customers actually trust.

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2D/3D dataset production

2D images, 3D point clouds, video decoding, and KITTI/YOLO exports fit into one delivery loop.

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Cloud Training

Train YOLO models with GPU acceleration

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Multi-Format Export

YOLO, VOC, COCO, CSV - all supported

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Multiple Annotation Types

Rectangle, Polygon, OBB, Keypoint

AnnoClaw Workflow

AnnoClaw Automation Workflow keeps annotation, review, training, and delivery in one flow

Start from uploads, API tasks, or automated jobs, then move through AI pre-labeling, human review, cloud training, export, and delivery without switching systems.

01

Bring uploads, API tasks, and automated jobs into one workspace

Manage manual uploads, API requests, and automated tasks in the same workflow so every project stays visible and organized.

02

Let AI move first, then hand key checkpoints to humans

Pre-labeling and automation move fast, while low-confidence items and key checkpoints return to the pro editor for human review.

03

Chain training, export, and artifact handling automatically

Once review is complete, training, export, and model delivery continue automatically so customers do not have to stitch the flow together themselves.

04

Make the delivery summary the acceptance object

The end result is not just a download link, but a traceable summary with metrics, versions, and delivery entry points.

Workflow

Keep uploads, automations, and human checkpoints on one operating path.

Quality

Turn review, issues, rework, and SLA into an operable quality system.

Version

Use dataset and spec versions to explain where training and delivery came from.

Delivery

End in delivery summaries, artifacts, and acceptance-ready handoff pages.

Use one workflow to keep annotation, review, training, export, and delivery connected from start to finish.
View Tutorials
Vertical Focus

One workflow for autonomous driving, robotics, and embodied AI

Handle image annotation, point-cloud labeling, human review, training, export, and delivery in one platform.

Explore solutions
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Autonomous driving data loop

Cover 2D images, 3D point clouds, low-confidence fallback, human review, KITTI/YOLO export, and model delivery.

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Robot video and perception tasks

Fit robot-video, scene-understanding, and grasping pipelines where agent tasks need human review and training handoff.

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Embodied AI dataset production

Focus on dataset production, orchestration, version tracking, and delivery acceptance instead of one-off labeling.

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Industrial vision and enterprise rollout

Support industrial-vision and enterprise projects with secure access, review controls, delivery summaries, and private deployment options.

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See It In Action

TjMakeBot AI annotation demo - automatic object detection and labeling

Upload β†’ AI Auto-Annotate β†’ Export in seconds

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Looking for solutions or support?

Explore solutions, compare pricing, or email us for help with deployment, purchasing, and project delivery.

Use the AnnoClaw console for uploads, routing, human review, and automated delivery. Not ready to upload yet? Try the 2D / 3D quick experience first -> View all features ->

✨AI Auto-Annotation
☁️Cloud training
πŸ‘₯Human review checkpoint
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