Data Annotation Services
in Tel Aviv
Get Tel Aviv’s Premier Data Annotation Services
Tel Aviv (ISR) boasts a dynamic tech workforce of 142,000 professionals—an 8% rise since 2020—demonstrating the city’s growing ICT and AI talent pool. A major AI data center campus near Tel Aviv will span 35,000 sqm with a 42 MW capacity; its first 14 MW phase will launch in Q2 2027. Between 2022 and 2024, demand for cloud experts surged 30%, while project management roles grew 28%. As AI advances rapidly, its success depends on the quality of training data.
As the leading Data Annotation Provider in Tel Aviv, we deliver precise text, image, audio, video, sensor, and LiDAR annotations, ensuring AI models are powered by accurate, high-quality datasets through expert labeling and rigorous audits.
What is Data Annotation?
Data annotation refers to labelling and tagging the objects and entities in the given raw data, such as the collection of text, video, audio, or images. These structured labels provide valuable inputs to your AI model on how to think, interpret the real-world situations and scenarios to make intelligent decisions.
Identify and categorize objects in images by marking visual components, enabling AI systems to accurately recognize diverse objects and environmental features.
Extract sentiment, intent, and named entities through detailed tagging of linguistic structures, enhancing natural language processing (NLP) and search functionalities.
Transcribe and timestamp speech by converting spoken audio into structured text with precise timing, advancing voice recognition and conversational AI systems.
Our experts track and annotate frame-by-frame to monitor movements and behaviors, improving AI performance in areas such as workplace safety, sports analytics, and training simulations.
Types of Data Annotation
As a Top Data Annotation Company in Tel Aviv, Macgence employs domain expertise and dual-stage quality controls to deliver datasets—text, image, video, sensor, and audio—with 95%+ accuracy. We tailor our approach to your AI innovation needs:
Text Annotation
Text annotation empowers AI solutions in Tel Aviv and across Israel to interpret and process Hebrew scripts with nuanced linguistic insight. The text in the given scripts, documentation, or colloquial expressions—words, phrases, named entities, and sentiment cues. At Macgence, in Text Annotation, we offer a total of over 10+ annotations, including some of the key ones listed below:
Named‑Entity
Recognition
Experts identify and categorise names, companies, dates, and locations in Israel documents—yielding structured inputs that enhance NLP performance and search relevance.
Sentiment & Intent
Classification
Annotators evaluate emotional tone and communicative purpose in written or spoken Israeli content and refine chatbots for customer service interfaces.
Summarization
& Classification
Our experts abbreviate, organise, and tag large text corpora, enabling AI to manage, index, and retrieve critical information across comprehensive repositories.
Q&A
Annotation
Technicians develop QA datasets in Israel to build AI models capable of understanding and responding to inquiries with contextual accuracy, improving conversational depth.
Image Annotation
Images become truly valuable when your AI can clearly identify and interpret the elements within them. As a leading image annotation company in Tel Aviv—Israel’s innovation hub with over 25% of the nation’s AI startups. At Macgence, in Image Annotation, we offer a total of over 13+ annotations, including some of the key ones listed below:
Bounding Boxes &
Polygons
Experts outline people, vehicles, tools, and varied objects using precise shapes to define spatial relationships.
Polygons
Annotation
Ideal for irregular forms, we trace detailed contours at pixel-level accuracy to support fine-grained segmentation tasks.
Semantic & Instance
Segmentation
Semantic labeling groups similar objects; instance segmentation identifies each separately for enhanced model precision.
Keypoint & Landmark
Tagging
We mark key features—eye corners, body joints, facial landmarks—vital for gesture recognition and emotion analysis.
Video Annotation
In Israel, video annotation enriches raw footage with metadata to fuel computer vision systems—from action detection and object monitoring to scene segmentation. We process over a million frames per project. At Macgence, in Video Annotation, we offer a total of over 11+ annotations, including some of the key ones listed below:
Object
Tracking
Our professional annotators trace specific elements across consecutive video frames, allowing AI to evaluate movement patterns continuously with outstanding accuracy and consistency.
Activity
Recognition
Analysts detect and classify intricate human or object activities—including gestures, locomotion, contact, or engagement—empowering AI.
Pose
Estimation
Annotators tag sequences with descriptive labels—like “walking,” “stopping,” or “interacting”—allowing systems to decode behavioral context.
Temporal
Segmentation
We segment footage into meaningful units, identifying scene cuts and transitions for streamlined video indexing and search.
Audio Annotation
Audio annotation underpins machine learning systems’ ability to decode various acoustic scenes and audio. With growing applications in mobility, health tech, and security—we provide expertly labeled audio data to drive advancements in speech technology, sentiment analysis, and environmental sound recognition. At Macgence, in Audio Annotation, we offer a total of over 12+ annotations, including some of the key ones listed below:
Speech
Transcription
Highly trained linguists convert spoken Hebrew and multilingual audio inputs into accurate, structured text transcripts. This process enables AI models to capture language nuances.
Speaker
Diarisation
We distinguish and tag each speaker within multi-voice recordings by analyzing voice characteristics, pitch, and speech patterns. Allowing AI models to classify and recognise with clarity.
Sound
Detection
Our annotators would annotate labeled audio, enabling your AI to detect and classify a wide array of sound events-ambulance sirens, school bells, factory alarms, and environmental sounds such as bird calls or the crashing of coastal waves.
Noise
Detection
Marking undesired interference in the auditory spectrum, such as background crowd chatter, engine rumble, rain, and wind. By filtering these elements, our annotations help refine AI models.
Sensor Data Annotation
Sensor annotation converts continuous data streams from IoT modules, wearables, and industrial meters into actionable insights. Smart-tech epicenter where IoT deployments support everything from digital health to predictive maintenance. At Macgence, in Sensor Data Annotation, we offer a total of over 10+ annotations, including some of the key ones listed below:
Time Series
Tagging
Our experts accurately timestamp and annotate fluctuations within time-dependent sensor streams sourced from medical wearables, industrial machines, and connected infrastructure. This enables AI models to detect temporal changes, behavioral shifts, and status transitions across dynamic systems.
Event
Detection
We spot anomalies, spikes and deviations, then label them for prompt alerts in healthcare, security networks and manufacturing lines. Whether monitoring heart irregularities, equipment malfunctions, or suspicious activity, our annotations allow for rapid alerting and real-time AI-driven responses.
Pattern
Recognition
We meticulously mark repeating waveforms, seasonal trends, or cyclic behaviors in linear and multi-dimensional datasets. These patterns provide AI with consistent references for detecting repetitive activities such as patient vitals, traffic flow, or production rhythms—boosting predictive accuracy and decision-making efficiency.
Correlation
We link and annotate outputs across varied sensors, allowing AI to uncover intricate relationships and deliver comprehensive system insights. This multivariate approach enables AI systems to extract holistic insights, support advanced diagnostics, and enable intelligent automation across complex environments.
LiDAR Data Annotation
LiDAR annotation is a cornerstone for training autonomous systems and enabling ultra-precise environmental mapping. Where advancements in autonomous mobility and smart infrastructure are accelerating—our experts transform LiDAR-generated point clouds into structured, high-fidelity 3D datasets. At Macgence, in LiDAR Data Annotation, we offer a total of over 9+ annotations, including some of the key ones listed below:
3D Point Cloud
Annotation
Our specialists label each individual point within dense three-dimensional LiDAR scans, defining the exact spatial boundaries of surrounding elements such as moving vehicles, pedestrians, roadside barriers, and curbs.
Polygon
Annotation
We annotate irregular, non-uniform surfaces—including sloped pavements, static motorcycles, uneven terrain, and urban fixtures—by drawing precise polygonal outlines. These complex annotations help AI interpret objects that fall outside standard geometric categories.
Polyline
Annotation
Our technicians trace elongated linear features—such as road edges, railway lines, bicycle lanes, and lane dividers—with high accuracy. These annotations guide autonomous systems in maintaining path alignment, supporting lane departure warnings, and enhancing route prediction.
Landmark
Annotation
Technicians strategically identify and mark crucial reference points—including vehicles, permanent structures, or geographical markers—across LiDAR and visual datasets. This annotation layer supports complete environmental context modeling.
Custom Data Sourcing & Dataset Building
In Israel’s thriving AI ecosystem, led by over 1,800 startups and a global innovation rank, off-the-shelf datasets often fall short of purpose-built demands. At Macgence, we curate precise, compliant, and real-time datasets to accelerate your model development and AI workflows:
Global
Collection
We collect diverse domain-specific inputs from Tel Aviv, Haifa, and around the world to ensure your training data is more broad, accurately reflecting the demographic.
Compliance
Based Practices
We maintain rigidity over datalife with processes such as consent and secure handling, and so forth. Our data policies comply with GDPR, ISO 27001, and HIPAA privacy Protection Law.
Real-Time
Collection
Mobile crowdsourcing and IoT signals enable the data collection process, competing against Israel's fast digital evolution and local market dynamics.
Multi-Format Flexibility &
Hybrid Dataset Solution
Be it text, image, audio, video, sensor, or LiDAR—we deliver seamlessly integrated data assets.
Industry Applications
At Macgence, we design annotation workflows tailored to Israel’s dynamic sectors—delivering pinpoint accuracy, full compliance with data privacy and cyber regulations, and scalable outcomes that align with the pace of your innovation (serving over 250 AI and tech-driven enterprises active in Tel Aviv).
Healthcare
Our annotators provide labeling for medical records, radiology scans, and genetic datasets, thus expediting diagnoses, enhancing treatment regimes, and catalysing breakthroughs in Israeli med-tech innovation.
Automotive & Mobility
We label LiDAR, radar, and vision data for vehicle perception enhancement better object detection, route mapping, and autonomous mobility performance in urban strip corridors of Tel Aviv.
Retail & E-Commerce
We decode consumer behaviour using in-store video from Azrieli Mall and online transaction logs—refining inventory strategy, shopper targeting, and customer journey design.
Finance & Insurance
Our teams analyse KYC documents, bank statements, and transaction histories, thus enabling fraud analytics, automated claim processes, and checks for compliance with the Bank of Israel directives.
Geospatial & Mapping
We annotate satellite and UAV imagery to classify land use, monitor archaeological sites, coordinate emergency responses, and support infrastructure projects across Israel.
NLP & Conversational AI
By tagging intents, sentiments, and named entities, we create datasets for multilingual voicebots—serving Israel’s diverse population and boosting engagement in travel, fintech, and health.
Defence & Security
Security videotape, remote sensing inputs, and field reporting-are annotated relative to strict confidentiality issues-thus putting borders to threat detection, mission planning, and real-time response.
Energy & Natural Resources
Our instances give labels to geological maps, thermal images, IoT sensor data-which backs you in optimising the working of solar/wind energy, planning water resources, and national infrastructure power resilience.
Public Sector & Smart Cities
From IoT feeds to mobility datasets, we structure urban data to enable smart planning—optimising Tel Aviv’s transit systems, sustainability goals, and public safety frameworks.
Why Partner with Macgence?
As a Top Data Annotation Company in Tel Aviv, we transform your raw inputs into high-quality AI data:
Local Expertise
Local Expertise Collaborate with experienced Tel Aviv-based professionals operating within the Israel Eastern Standard Time zone who understand local regulatory frameworks and accelerate AI development pipelines across national industries.
Accuracy You Can Rely On
Accuracy You Can Rely On Achieve over 95% accuracy through our robust dual-layer annotation validation process—ensuring your machine learning models are trained on meticulously labelled, high-quality datasets
Scalable Operations
Scalable Operations Efficiently expand from targeted pilot programmes to full-scale annotation projects involving millions of data points, supported by automation-driven infrastructure and scalable project management resources
Security & Compliance
Security & Compliance Your data is protected under our ISO 27001 certified systems, with strict adherence to Global standards such as GDPR and HIPAA—ensuring full regulatory compliance and trusted data stewardship throughout every engagement
Frequently Asked Questions
1. What types of data annotation services does Macgence offer in Tel Aviv, Israel?
Macgence provides comprehensive annotation services including text, image, audio, video, sensor, and LiDAR data—tailored for industries like automotive, healthcare, retail, robotics, and more.
2. How does Macgence ensure high-quality annotations in Hebrew language and local dialects?
We employ native Israelian linguists and domain experts who understand regional dialects and cultural nuances, ensuring accurate, context-aware annotations with over 95% precision rates.
3. Is Macgence experienced in handling industry-specific data annotation requirements?
Yes, we specialize in domain-specific projects—from medical imaging and autonomous driving to e-commerce and fintech—customizing annotation workflows to meet unique project goals and standards.
4. Can Macgence manage large-scale annotation projects for enterprises in Israel?
Absolutely. We scale operations quickly using skilled local teams, robust QA protocols, and advanced tools to handle large datasets with consistency and speed.
5. How does Macgence maintain data security and compliance during annotation?
Data privacy is our priority. We follow Israel’s data protection regulations, use secure infrastructure, and offer NDAs and role-based access controls to safeguard client data.
We're here to help with
any questions
Get In touch
Maximise Potential with Macgence’s
Data Annotation Services
powering AI projects and driving innovation.