Stop Wrangling Data.
Start Training Models.
We handle the exhausting, time-consuming process of data labeling so your team gets pixel-perfect, deployment-ready datasets. High-quality human-in-the-loop annotation, built to scale.
Why Annotrex?
We solve the data bottleneck so you can focus on what matters
80% of ML Time Lost
The Bottleneck
Data cleaning and labeling stalls production deployment. Your engineers spend more time wrangling data than building models.
In-House Management Fatigue
The Overhead
The nightmare of hiring, training, and QAing temporary annotators drains your team's energy and focus from core ML work.
Pure Focus
The Annotrex Escape
Offload to annotrex and give engineers their time back with zero management overhead. Just clean, ready-to-train data.
Core Services & Niches
Specialized annotation services tailored to your AI workflow
Image & Video Annotation for Robotics & CV
Focus
Bounding boxes, semantic segmentation, polyline tracking, and 3D point cloud cuboids.
Use Case
Autonomous navigation, robotic gripping, edge-CV tracking, and drone telemetry.
Textual Annotation for NLP
Focus
Named Entity Recognition (NER), text classification, part-of-speech tagging, and coreference resolution.
Use Case
LLM fine-tuning, domain-specific chatbots, and automated document parsing.
Audio Transcription & Intent Tagging
Focus
Converting speech to text, identifying speaker diarization, and tagging acoustic environments.
Use Case
Voice assistants, customer service call routing, and audio keyword spotting.
E-Commerce Product Categorization
Focus
Attribute tagging, catalog mapping, search relevance verification, and image-to-description matching.
Use Case
Optimizing recommendation engines and cleaning marketplace inventory pipelines.
Content Moderation & Safety Labeling
Focus
Flagging policy violations, identifying toxic text, and categorizing sensitive or unsafe content.
Use Case
Social platforms, community forums, and safeguarding generative AI outputs.
Sentiment & Emotion Analysis
Focus
Labeling text, reviews, or social media on multi-axis sentiment scales.
Use Case
Brand monitoring tools, market research pipelines, and public opinion tracking.
How It Works
A frictionless pipeline from raw data to deployment-ready datasets
Scope & Guidelines
Share your raw data, edge cases, and specific labeling rules. Or let our solution architects design the guidelines for you.
Pilot Batch
We label a small sample to align perfectly with your model's target metrics and benchmark accuracy.
Scaling & Human-in-the-Loop
Our trained annotation teams execute the project with multi-tier internal QA workflows at scale.
Clean Delivery
Receive your structured, pristine datasets in your preferred format (JSON, COCO, YOLO, CSV, etc.), completely ready for training.
Quality Assurance & Security
Enterprise-grade processes built on trust and precision
Dual-Pass QA Architecture
Every dataset goes through rigorous review
- Dual-pass annotation and review process
- Senior QA reviewer on every project
- Targeting >98% consensus accuracy
- Eliminates noisy labels from your datasets
>98%
Consensus accuracy across all projects
Enterprise-Grade Data Security
Your IP is protected at every step
- Strict NDA compliance for all projects
- Secure data handling pipelines
- Isolated cloud storage access
- Full protection of proprietary IP
Contact Us
Ready to discuss your annotation needs? Get in touch with our team.
We typically respond within 24 hours.