Ango Hub by iMerit
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Where the AI
meets the human

Where the AI
meets the human

The human-in-the-loop data platform for AI development.

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Trusted by

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Spot model failures. Have experts interrogate your model to expose where it breaks and why. Then, turn that data into evals.

Guide the chain of thought. Capture your model's reasoning and have experts rewrite it into an optimal gold trajectory.

Evaluate your model. Transform labeled dialogues into structured evals: per-turn scores, rubric-based grades, and more. All ready for CI.

Annotate multi-modal data. Ango Hub is a fully-fledged data annotation platform for AV, healthcare, audio transcription, object tracking, and more.

Global experts, at scale.

Ango Hub is built by iMerit, leading provider of highly skilled experts ready to work creating and annotating data for your AI.

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Everything you need for AI data.

Design your flow, end-to-end

Build and adjust your entire data project workflow without code, end-to-end, even while it’s running.

Full on-premise support

Deploy in your own environment for full control of data and workflows, from ingestion to export.

Real-time issue tracking

Users can leave comments on any region, frame, or message. Then, talk to QA to keep each thread open until resolved.

Extend with plugins

Add formats, integrations, or an ML model with a Python-based Ango plugin. Build the features you need, fast.

AI-assisted labeling

Human-guided suggestions accelerate work while keeping quality and oversight high.

Automated work validation

Run custom validation code the moment work is submitted. Enforce rules and stop bad data from moving forward.

One platform. Every use case.

Use Case
Foundation Models
Structured Data Annotation
Prompt Engineering
Word Sense Disambiguation
Temporal Event Detection
Bias Classification
Dialogue Labeling
Text Summarization
Intent Classification
Few Shot Prompting
Computer Vision
Data-Centric AI
Image Classification
Clinical Annotation
Sound Event Detection
Quality Assurance
Relation Extraction
Boundary Testing
Human-in-the-Loop
Autonomous Vehicles
Anomaly Detection
Robot Vision
Machine Translation
Inter-Annotator Agreement
3D Point Cloud Segmentation
Action Recognition
Model Evaluation
De-Identification
Object Tracking
RLHF
Markdown Annotation
3D Reconstruction
Ultrasound Labeling
Image Captioning
Consensus
Foundation Models
Structured Data Annotation
Prompt Engineering
Word Sense Disambiguation
Temporal Event Detection
Bias Classification
Dialogue Labeling
Text Summarization
Intent Classification
Few Shot Prompting
Computer Vision
Data-Centric AI
Image Classification
Clinical Annotation
Sound Event Detection
Quality Assurance
Relation Extraction
Boundary Testing
Human-in-the-Loop
Autonomous Vehicles
Anomaly Detection
Robot Vision
Machine Translation
Inter-Annotator Agreement
3D Point Cloud Segmentation
Action Recognition
Model Evaluation
De-Identification
Object Tracking
RLHF
Markdown Annotation
3D Reconstruction
Ultrasound Labeling
Image Captioning
Consensus
Visual Question Answering
Audio Transcription
Object Detection
Medical Record Annotation
Coreference Resolution
Style Adherence Scoring
Document Classification
Retrieval-Augmented Generation
SLAM
Question Answering
LLM as a Judge
Red Teaming
Trajectory Prediction
Keypoints
Lesion Detection
Toxicity Classification
Prompt Chaining
Speech Recognition
Bounding Boxes
Polygons
Agentic AI
Named-Entity Recognition
Preference Ranking
2D/3D Radiology Segmentation
Multimodal Data
Human as a Judge
Recommender Systems
Instance Segmentation
OCR Correction
Chain-of-Thought Reasoning
Entity Linking
Panoptic Segmentation
3D Cuboids
Hierarchical Labeling
Instruction Following
Visual Question Answering
Audio Transcription
Object Detection
Medical Record Annotation
Coreference Resolution
Style Adherence Scoring
Document Classification
Retrieval-Augmented Generation
SLAM
Question Answering
LLM as a Judge
Red Teaming
Trajectory Prediction
Keypoints
Lesion Detection
Toxicity Classification
Prompt Chaining
Speech Recognition
Bounding Boxes
Polygons
Agentic AI
Named-Entity Recognition
Preference Ranking
2D/3D Radiology Segmentation
Multimodal Data
Human as a Judge
Recommender Systems
Instance Segmentation
OCR Correction
Chain-of-Thought Reasoning
Entity Linking
Panoptic Segmentation
3D Cuboids
Hierarchical Labeling
Instruction Following
Use Case

Built for developers. Ready for production.

Create projects, add assets, query stats, and export annotations, all from code. Clean REST endpoints and a Python SDK that stays out of your way.

Developers
Developers

Python SDK & REST API

Install from PyPI, authenticate with an API key, and script everything: project setup, asset uploads, batch management, metrics queries, and exports. All in a few lines.

Developers

Real-time webhooks

Receive events the moment they happen, such as asset created, label updated, or review passed. Then wire them into your training loop for rapid, active learning.

Developers

Built-in AWS, GCP, Azure support

Integrate Ango Hub with your storage provider of choice, securely. Then, import data into Ango Hub with a single click, or a single line of code.

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