Fast Affordable AI Data Annotation: 10x Faster, 50% Cheaper!

Fast affordable AI data annotation is finally here—SwanTagger delivers fast affordable AI data annotation that accelerates your ML projects.

Challenge: Annotation Delivery and Quality Delay ML Projects

Have you ever experienced something like this?

An illustrated scene of machine learning professionals overwhelmed by stacks of files and delayed annotations, depicting bottlenecks in ML project workflows.

Delivery Delay

When will these annotations finally arrive?!

Image showing classification errors in MNIST and CIFAR-10 datasets. The MNIST digit '3' was misclassified as '5', and a CIFAR-10 frog image was misclassified as a 'cat'.

Quality Issue

What’s happening with annotation quality control?!

Disadvantages of Manual Annotation

Illustration of an hourglass with digital workflow elements, representing the slowdowns of manual data labeling.

Time-consuming

Illustration of a piggy bank with digital finance elements, representing the cost of manual data annotation.

Expensive

Illustration of misaligned and overlapping bounding boxes with warning icons, representing annotation errors in object detection.

Not always consistent

Solution: Fast Affordable AI Data Annotation With SwanTagger

Illustration of a lightning bolt with motion lines, symbolizing 10x faster annotation speeds.

10x Speed

Illustration of a piggy bank with a dollar sign, representing cost-saving and financial efficiency.

50% Cheaper

Illustration of a checkmark on a document, symbolizing consistent quality and reliable annotation.

Consistent Quality

Feature: Tag Anything With a Simple API Call

Custom tagging based on your expertise. Seamlessly integrate with your internal datasets and systems through a single API call

A traffic scene with cars at an intersection, illustrating AI-powered image tagging capabilities.

Input Image

Screenshot of an AI-powered image tagging system with editable tag candidates and questions.

Tag Candidates

Screenshot of an AI-powered tagging summary with detected image elements and descriptions.

Tag Results

Usage: Try in Playground and Batch Inference via API

Test in playground, then deploy to internal data via API batch inference

Screenshot of SwanTagger, an AI-powered custom image tagging tool for ML engineers with a response summary and tagging options.

Playground

Screenshot of a Python bulk image upload script for SwanTagger API, allowing concurrent requests for tagging multiple images.

Batch Inference

Benefits: 10× Faster Annotation, 50% Cost Savings

Example: applying 10 tags to 10,000 images

Bar chart comparing delivery time of human annotation vs. SwanTagger auto-annotation, showing a 10x speed improvement.
Bar chart comparing annotation costs of human annotation vs. SwanTagger auto-annotation, showing a 50% reduction.

Why Choose Us – Compared to Competitors

SwanTagger offers fast, affordable, and consistent annotations—exactly when and how you need them

Comparison table of SwanTagger vs. high-volume low-cost and high-quality high-cost annotation options.

Why Choose Us –
Leading MLOps Engineers Supporting Your Company

Direct Access to Japan’s Top MLOps Engineers

Be among the first three clients to receive exclusive support from engineers featured at AWS Summit and W&B Fully Connected.

Save $300k & Unlock a Free PoC

Bypassing costly SIer outsourcing, our limited-time offer includes a free proof of concept tailored to your dataset.

Founder-Led PoC for Seamless Implementation

Our founder personally handles your PoC, freeing your team from implementation tasks and accelerating your innovation.

Promotional image featuring MLOps expert Suigen Koide, a speaker at W&B Fully Connected, representing SwanTagger’s expert support.

Price – 50% Cheaper Than Human Annotation

Auto-annotation with SwanTagger starts at $0.04 per image—10× faster and 50% cheaper than human-based methods using contractors, outsourcing, or crowdsourcing

Classification

$0.04

Per image

$400 for 10,000 images

Image Tagging

$0.04

Per tag

$2,000 for 10,000 images x 5 tags

Object Detection

$0.02

Per bbox

$2,000 for 10,000 images x 10 bbox

Segmentation

$1.80

Per image

$18,000 for 10,000 images

Price – $300K Cheaper Than In-House Development

Developing a similar in-house system costs over $300K plus operational expenses. SwanTagger lets you use exactly what you need, when you need it—without any waste

Comparison of in-house development costs vs. SwanTagger’s pay-as-you-go model, highlighting $300K+ savings.

How to Use – $5 to Start, as Simple as Buying a Big Mac

Start your $5 trial—the price of a Big Mac. If you’re not satisfied, we offer a refund. Evaluate effectiveness with a 5-image trial

Step-by-step process of using SwanTagger, from contact to deployment, highlighting a simple $5 trial.

Company overview

We Make AI Safe

At SafeML, we envision a future where artificial intelligence (AI) is as ubiquitous and essential as electricity is today. Our company was founded on the premise that, in the 21st century, the seamless integration of AI into every aspect of our lives—from our cars to our hospitals—must be characterized by unwavering safety and security. We aim to enhance human well-being by preventing AI-related risks such as traffic incidents in self-driving cars and diagnostic errors in medical imaging, ensuring that AI safeguards rather than compromises our quality of life.

SwanTagger

By delivering fast, cost-effective, and consistent annotations, SwanTagger accelerates the ML development lifecycle and enhances model quality.

Meet Our Talented Team

Our passionate team combines diverse skills and deep AI/ML expertise. Led by our founder—a seasoned MLOps expert—we blend creative vision and strategic insight to consistently exceed our clients’ expectations.

Portrait of Suigen K., an MLOps expert and CEO

@suigenk, CEO

Led ML development for Toyota’s autonomous driving and managed the MLOps team. Presented at various AI/ML conferences.

Portrait of Fabius, CTO with AI/ML consulting expertise

@fabius, CTO

Engaged in a PhD program at Dartmouth College. Delivered AI/ML consulting expertise at AWS, driving success across various industries.

Join the Future of Annotation

Transform your ML pipeline with 10× faster, 50% cheaper data labeling. Start your $5 trial today and accelerate your AI projects.

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