AI Data Labeling Services in Dubai
Your models are starving for better data. They need AI data labeling that can turn scattered, unstructured inputs into training-ready assets. At Gravity Base, our AI data specialists specialize in AI data labeling & annotation for ML and GenAI, helping future-forward companies turn their raw data into structured intelligence.
Prestigious Clients
Solutions Developed
Countries
Strong Team
Our AI Data Labeling Services & Annotation Capabilities
At Gravity Base, our AI data annotation services are delivered by experienced AI data specialists who understand production models. We help companies in Dubai transform their raw and chaotic data into structured models that learn, adapt, and perform through our innovative services
Image & Video Annotation
Bounding boxes, polygons, segmentation, keypoints, and tracking, delivered through precision-driven AI Data Annotation for vision models in production environments. Our team ensures every frame and object is labeled with pixel-level accuracy, improving model detection, recognition, and tracking performance.
Text & NLP Annotation
Entity tagging, sentiment analysis, and intent classification powered by structured AI data annotation that supports chatbots, search, and document intelligence. We handle complex linguistic nuances and multilingual datasets to ensure your NLP models understand context and intent accurately.
Audio & Speech Annotation
Transcription, speaker diarization, and acoustic event labeling through scalable data annotation AI pipelines for voice systems and assistants. Our annotation ensures high-quality audio labeling for speech recognition, voice assistants, and acoustic analytics across diverse accents and environments.
Structured Data Labeling
Tabular data tagging, outcome labeling, and feature support delivered as an AI data labeling solution for forecasting and risk models. We transform messy, raw datasets into clean, structured formats that accelerate predictive analytics and decision-making.
Custom Annotation Pipelines
Domain-specific schemas for finance, legal, healthcare, and government, built within a flexible AI platform data labeling service that integrates directly into your pipelines. Each pipeline is tailored to your unique industry rules and compliance standards, ensuring seamless integration with your ML workflows.
Document & PDF Annotation
Form fields, tables, checkboxes, and key-value extraction for invoices, contracts, and reports. Our structured labeling enables faster document processing, compliance checks, and automated data extraction for enterprise systems.
3D & Lidar Annotation
Point cloud labeling, object tracking, and semantic segmentation for autonomous vehicles, robotics, and geospatial analytics. We provide precise 3D annotations that enhance spatial understanding for navigation, obstacle detection, and environment mapping.
Sensor & IoT Data Annotation
Time-series, telemetry, and event tagging for smart devices, industrial sensors, and IoT networks. We convert complex sensor streams into clean, actionable datasets that power predictive maintenance, anomaly detection, and real-time analytics.
Most Trusted Data Annotation and Data Labeling Services
Industries Served by Our AI Data Labeling & Annotation Solutions
Gravity Base goes beyond generic. We deliver production-grade AI and ML data annotation services customized to each industry’s realities and company’s business model. Our AI data specialists offer deployments across finance, retail, healthcare, government, and smart cities, transforming raw data into structured intelligence that models can trust.
Why Gravity Base is the #1 AI Data Labeling Solution Provider in UAE
Backed by an AI engineering company, Gravity Base delivers professional data annotation services for AI, not a low-cost labeling vendor. Our team possesses a deep understanding of model performance, bias, drift, and dataset shift and designs labels to maximize downstream production reliability.
Enterprise Expertise
Gravity Base delivers AI data labeling with engineering precision, not low-cost outsourcing. Our teams understand AI pipelines, ensuring annotations consistently support scalable, production-ready machine learning models across industries.
Deep Model Insight
We don’t just label data but understand model behavior. Expertise in bias, drift, and dataset shift ensures every annotation enhances prediction accuracy, reliability, and robustness for real-world deployments.
Human-in-the-Loop Precision
Combining expert annotators with AI-assisted workflows, we maintain high accuracy at scale. Multi-layer QA, calibration, and structured review guarantee labels your models can trust in production.
Industry-Specific Tailoring
Each annotation pipeline is designed for domain realities such as finance, healthcare, retail, government, and smart cities. This ensures context-aware labeling that aligns with industry regulations and business objectives.
Proven Track Record
Millions of annotations delivered across diverse applications showcase our reliability. Clients experience measurable model improvements, faster deployment, and confidence in AI performance.
Scalable & Transparent Processes
From pilot to full-scale projects, we provide live dashboards, SLA-backed pipelines, and seamless integration with MLOps, data lakes, and warehouses. It helps with scaling effortlessly without compromising quality or speed.
Process of Our Data Annotation and Data Labeling Services
AI models are only as good as the data they learn from. It’s because data labeling in AI directly determines accuracy, fairness, and real-world reliability. At Gravity Base, we deliver labels that ensure reliable predictions and consistent datasets for next-gen AI deployment.
Discovery & Objective Definition
Schema & Guidelines Design
Pilot Labeling & Calibration
Full-Scale Production Labeling
Quality Assurance & Audit
Handover, Monitoring & Iteration
Feedback & Continuous Improvement
Case Studies of Our AI Data Annotation & Consulting Work in UAE
Hundreds of annotations delivered by Gravity Base have positioned us among the top rated data annotation companies in AI for enterprise use cases.
“We started with a Sample Labeled Dataset because we didn’t want big commitment in first stage. Gravity Base team labeled 2,800 medical report PDFs using our custom taxonomy for diagnosis codes and patient risk tagging. They made clear schema with edge-case notes. Turnaround time was 8 days and accuracy score was 94.7% on first batch. After this we felt safe to scale, and now production pipeline exports labels directly to Snowflake without manual steps.”
“Honestly, what surprised us is their process. Not just labeling, they actually design the guideline with us. For retail project, Gravity Base made bounding boxes and polygon segmentation for 12,000 shelf images. We had weekly calibration call, fix edge cases, then after pilot the consistency was stable. Now our recommendation engine improved click-through by 23% inside app.”
“We handle bank statements and loan PDF documents, very sensitive data. Gravity Base set up secure workspace with restricted access and NDA team only for finance labeling. They did entity tagging for income source, expense category, and red-flag keywords like bounced cheque remarks. Export format came in JSON and COCO style so our MLOps team push it directly to training pipeline in Vertex AI. Before we have offshore vendor making many mistakes with Arabic text, but Gravity Base used bilingual annotators so quality is much better especially reading UAE account formats.”
“We asked for AI data annotation services for smart city monitoring, basically satellite and street camera frames. Gravity Base team handled polygon segmentation for construction areas, parking zones, and illegal dumping spots. They even designed a special guideline for Ramadan night lighting because model kept misclassifying. We didn’t expect this type of local understanding. They delivered 150k labels with multi-layer QA. I like the dashboard where we see live progress, SLA timer, and disagreement percentage.”
“We booked AI Data Readiness Call first, then did pilot for NLP intent classification on customer support chats. The team helped create taxonomy for refund, exchange, delivery delay, and fraud suspicion. They answered FAQs very clear: platform integration, file formats, and how to handle drift. After pilot, they gave report showing exactly where model accuracy improved from 71% to 88% after clean labels. This is big because before we use cheap freelance annotators and model never improve. Now labels feel consistent and production results are stable week to week.”
Voices of Our Prestigious Clients
Partnering with Gravity Base means choosing a team that treats AI as infrastructure, not just marketing.
FAQs
Yes. We operate with strict governance such as secure environments, access controls, NDA-backed teams, and compliant workflows tailored for sensitive industries.
Absolutely. We co-design custom schemas with your data science team, covering edge cases, domain rules, and quality thresholds so labels match your model’s reality.
Through balanced sampling, calibration rounds, and structured QA that catches drift early. We label with intention. This ensures fairness, reliability, and long-term model health.
Any format you need from COCO, Pascal VOC, JSON, CSV, TFRecords, to fully custom outputs optimized for your ML pipeline or MLOps tooling.
Yes. Our AI-assisted workflows, parallel annotator teams, and SLA-backed pipelines deliver high-volume labels without compromising accuracy or consistency.
Everything your model needs from images, videos, text, PDFs, audio, speech, tabular data, to domain-specific datasets. If it exists, we can label it.
We define rules upfront, calibrate with pilots, and escalate unclear cases through expert review.
Yes. We plug into whatever you use or provide our own managed environment. Your workflow, your tools, our accuracy.
Without friction. Multilingual teams and culturally aware guidelines ensure accuracy across languages, dialects, and regional contexts.
We align every annotation to your model’s real-world objectives. It reduces noise, sharpens signals, and creates datasets that directly enhance accuracy and reliability.
Yes. You don’t need clean inputs. We structure, normalize, tag, and refine raw data so it’s ready for training, no matter how chaotic it starts.
Unlike rigid AI data labeling companies, we scale up or down instantly. No long-term lock-ins, no rigid capacity limits, just adaptive teams that move with your data needs.
Yes. You can request a sample dataset or a small pilot batch to evaluate accuracy, consistency, and guidelines before starting a full engagement.
We train specialized teams for each industry such as finance, healthcare, retail, government. This helps labels reflect domain knowledge, not generic assumptions.
We stay with you. Drift monitoring, iteration cycles, and dataset updates keep your model aligned as conditions change or new edge cases emerge.
Yes. We combine automation with expert review to maximize speed, accuracy, and cost efficiency without sacrificing reliability.
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