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WR 1008 – Falcon City of Wonders, Dubai, UAE

+971048346574

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AI Data Labeling & Annotation

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.

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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.

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.

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.

Real automation doesn't just analyze it anticipates your next move

Understand where AI will create immediate operational lift in your organization. Book an Executive Briefing Today.

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