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Elite Data Annotation & AI Curation

All-in Annotation.
Absolute Precision.

Ozlo is a futuristic AI curation agency founded by Muhammad Shees. We are the absolute best in all annotation pipelines: Document, Image, Segmentation, Video, Point Cloud, Satellite, and Medical datasets.

Visual Proof

Interactive Curation Hub

Toggle through our multi-modal annotation modalities below to view our pixel-perfect labeling accuracy in real time.

ozlo_annotation_engine.bin

Dataset Info

Hover over labeled items in the viewport to audit annotation metadata.

Our Capabilities

Specialized AI Annotation Services

We are the absolute best in all annotation work. We build pixel-perfect labels, logical text alignments, and multi-modal datasets to train foundation networks.

Document Annotation

Table extraction, entity identification, OCR correction, and document classification on structural PDFs, invoices, and legal records for secure enterprise RAG models.

Entity Extraction Table Labeling OCR Correction Document Classification
Verified via Kinza Urooj (MilestoneZero)

Image Annotation

High-precision 2D bounding boxes, polygons, keypoint skeletons, and multi-attribute classification overlays for advanced computer vision.

Bounding Boxes Polygons Keypoints Classification
Verified via Kinza Urooj (CSS Layout Expert)

Segmentation

Pixel-level semantic, instance, and panoptic masks for autonomous driving, surgical robotics, and geospatial mapping pipelines.

Semantic Segmentation Instance Segmentation Panoptic Masks Pixel-Level QA
Verified via Shoaib (Lloyds UX & Stanford ML)

Video Annotation

Frame-by-frame object tracking, temporal event labeling, action recognition, and multi-modal QA to train highly robust sports analytics and surveillance models.

Object Tracking Temporal Labels Action Recognition Frame-by-Frame QA
Verified via Kinza Urooj (MilestoneZero)

Text Annotation

Core NLP text labeling, named entity recognition (NER), sentiment analysis, and semantic relation extraction across 70+ languages.

Named Entity Recognition Sentiment Analysis Text Classification Relation Extraction
Verified via Shoaib (IBM AI Practitioner)

Speech & Audio Labeling

Audio transcription, speaker diarization, event detection, and phonetic labeling for call center analytics and multilingual speech-to-text models.

Transcription Speaker Diarization Audio Event Detection Phonetic Labeling
Verified via Shoaib (IBM AI Practitioner)

Time Series Annotation

Continuous event detection, anomaly labeling, signal classification, and temporal segmentation for IoT, sensor, and financial metrics.

Event Detection Anomaly Labeling Signal Classification Temporal Segmentation
Verified via Shoaib (ScrumMaster Agile)

Point Cloud Annotation

3D bounding cuboids, point segmentations, sensor fusion, and object tracking on raw LiDAR datasets to train autonomous vehicle depth perception models.

3D Cuboids Point Segmentation Sensor Fusion Object Tracking
Verified via Shoaib (Stanford ML)

Medical Imaging

CT/MRI segmentation, pathology markup, organ boundary delineation, and radiology QA to assist clinical imaging models.

CT/MRI Segmentation Pathology Markup Organ Delineation Radiology QA
Verified via Shoaib (Stanford ML)

Satellite Imagery

Geospatial land cover mapping, object detection, building footprints, and environmental change detection overlay systems.

Land Cover Mapping Object Detection Change Detection Building Footprints
Verified via Shoaib (Stanford ML)

RLHF & Preference Data

High-quality pairwise comparison evaluations, Likert multi-criteria ratings, and preference ranking curation to train reward models and align AI systems.

Pairwise Comparisons Likert Scoring Reward Modeling Preference Ranking
Verified via Shoaib (IBM AI Practitioner)

Supervised Fine-Tuning

Designing high-fidelity instruction-response data, domain-specific verifications, and multi-turn conversational dialogs to train custom models.

Instruction Writing Response Drafting Multi-Turn Dialogues Domain-Specific
Verified via Muhammad Shees (Lead Dev & Architect)

Red Teaming & Safety

Adversarial prompts, jailbreak testing, bias probing, and safety boundary evaluations to expose model risks and harden guardrails.

Adversarial Prompts Jailbreak Testing Bias Probing Safety Boundary Testing
Verified via Shoaib (IBM AI Practitioner)

Computer Use Agent Training

Curating detailed trajectory action logs, UI screenshot markups, and screen coordinate click trails for browser and desktop OS agents.

UI Navigation Trails Screenshot Markup Trajectory QA Reward Shaping
Verified via Muhammad Shees (Live Shopify App)

The Synergy Team

Meet the specialized professionals powering our elite delivery workflow.

MS

Muhammad Shees

Founder & Lead Full-Stack Architect

Lead developer specializing in prompt-driven architectures, vibe coding production deployments, OAuth handling, and full-stack web platforms (e.g. Order Guard live on Shopify).

Founder Vibe Coding Shopify Apps API Systems
KU

Kinza Urooj

Data Annotator & CSS Engineer

Verified 8 months of data annotation experience at MilestoneZero Technologies. Combines layout engineering and front-end CSS degrees for pixel-precise coordinate annotations.

Data Labeling RLHF Curation CSS Expert SFT Datasets
MS

Muhmmad Shoaib

UX Architect & IBM AI Practitioner

IBM-Certified Design Thinking Practitioner & AI Trainer. Stanford Online ML Specialty. Handles user research, reward shaping, and UX validation for AI interfaces.

IBM Certified UX/UI Design Stanford ML Agile Curation
Live Sandbox Curation

Interactive VSCode Annotation Sandbox

Select a file from the sidebar to inspect how we annotate, critique, and optimize LLM outputs.

Workspace > ozlo_sandbox
  • 🐍python_scraper.py
  • 🧩logical_riddle.json
  • 🎨ux_brief.css
python_scraper.py
SYSTEM PROMPT / INSTRUCTION
Write a python function to scrape a list of links from a webpage.
Raw LLM Output (Rank: 2/5)
Ozlo Curated SFT (Rank: 5/5)
TERMINAL - CRITIQUE & RLHF EXPLANATION

Verified Credentials & Certifications

We build unmatched trust. Our team holds full certifications from IBM, Lloyds, Google Cloud, and Stanford online.

IBM SkillsBuild
Verified

Getting Started with Artificial Intelligence

Issued to: Muhmmad Shoaib

Issued: May 9, 2026

Generative AI Basics Neural Networks AI Ethics
Google Cloud
Professional

Professional Machine Learning Engineer

Issued to: Lead Dev / Shoaib

Professional Credential

ML Ops Curation Vertex AI Pipelines Model Tuning & Eval
Stanford Online / DeepLearning.AI
Verified

Machine Learning Specialization

Issued to: Muhmmad Shoaib

Academic Specialization

Supervised Learning Neural Networks Recommender Systems
IBM SkillsBuild
Verified

Enterprise Design Thinking Practitioner

Issued to: Muhmmad Shoaib

Issued: May 14, 2026

User Research Aesthetic Curation Collaborative Ideation
Lloyds Banking Group
Forage Verified

UX Design Advanced Simulation

Issued to: Muhmmad Shoaib

Issued: March 13, 2026

Customer Value Proposition Wireframing & Prototyping User Analytics
Forage Certification
Forage Verified

Branding & Design Simulation

Issued to: Muhmmad Shoaib

Issued: January 10, 2026

Brand & Authenticity Product Craft Digital Presentation
Amazon Web Services
Specialty

AWS Certified Machine Learning – Specialty

Issued to: Lead Dev

Industry Standard

SageMaker Pipelines Data Engineering Model Deployment
DAMA International
CDMP Candidate

Certified Data Management Professional

Issued to: Ozlo Curation Lead

Governance Credential

Data Quality Curation Ethics & Governance Metadata Curation
Scrum Alliance
CSM Certified

Certified ScrumMaster (CSM)

Issued to: Muhmmad Shoaib

Agile Practitioner

Agile Sprint Delivery Annotation Backlogs Quality Assurance Sprints
MilestoneZero Technologies
Recommendation

Professional Data Annotator Credential

Issued to: Kinza Urooj

Issued: May 22, 2023

8 Months Labeling Experience Quality Assurance Curation SFT Data Structuring
CSS Expert Degree
Expert Level

Advanced Layouts & CSS Engineering

Issued to: Kinza Urooj

Core Competency

CSS Grid & Flexbox Animation & Keyframes Responsive Architectures
shopify APP LIVE

Case Study: Order Guard Profit & Fraud

Published by ShoFra Solutions | Lead Architect: Muhammad Shees

An active defense system for profit analytics and fraud prevention. Calculates true net profit instantly at checkout (CM1 & CM2 calculations) and automatically holds negative-margin, high-risk bot, or fraudulent orders. Built 100% using AI-native vibe coding techniques to showcase elite engineering velocity.

CM1 & CM2 Analytics Real-time Risk Alerts Telegram Automation OAuth & API Integration
View on Shopify App Store →

Initiate Your AI Project

Looking for elite data labeling or rapid vibe-coded applications? Let's discuss how we can accelerate your timeline with Ozlo.ai.