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2M+
Data Points Labeled
98.5%
Accuracy Rate
40+
Projects Delivered
50%
Faster Delivery
100%
Data Security
Achievments
At Anotag, we make that possible.
Our Multimodal Annotation Services go beyond traditional labeling by integrating, aligning, and synchronizing data across multiple streams, image ↔ text, video ↔ audio, LiDAR ↔ camera, and beyond.
We help AI systems perceive and reason holistically, just like humans do by combining visual, linguistic, and sensory cues to understand context, emotion, and intent.
From vision language models (VLMs) and multimodal generative AI, to robotic perception and sensor fusion systems, we deliver expertly annotated datasets that enable models to link, interpret, and learn across domains with accuracy and depth.
Our domain specialists and data engineers design workflows that capture temporal consistency, spatial accuracy, and semantic relationships by turning raw, disconnected inputs into unified, training ready intelligence.
ABOUT
Modern AI doesn’t rely on one kind of data it relies on how different data types connect and interact.
Why Multimodal Annotation Matters
Single modality data builds narrow intelligence.
Multimodal data builds contextual intelligence, the kind that can describe an image, summarize a video, understand tone, and react to real-world events simultaneously.
By synchronizing time, meaning, and modality, Anotag helps your models:
01
See and describe visual data accurately with image-text pairing for VLMs.
02
Understand human interactions through video-audio emotion and intent linking.
03
Navigate complex environments with LiDAR-camera fusion for robotics and autonomous systems.
04
Generate real-time, context-aware insights across voice, visuals, and text.
What Makes Our Approach Different
While most providers focus on labeling individual data types, Anotag focuses on alignment and coherence, the true challenge of multimodal AI.
We build workflows that handle:
01
Cross-Modality Schema Design
Defining unified taxonomies across vision, language, and sound.
02
Temporal Linking
Ensuring timestamps and events stay perfectly aligned across frames and audio.
03
Alignment Metrics
Measuring synchronization accuracy between modalities (e.g., frame-to-utterance or 3D coordinate-to-visual tag).
04
Multimodal QA Systems
Layered validation to detect drift, delay,
or semantic mismatch between
datasets.
This level of detail ensures your data isn’t just labeled it’s synchronized, interpretable, and production ready.
OUR PROCESS
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01
Discovery & Data Audit
We begin by analyzing your data sources, formats, and AI goals to design a unified multimodal integration strategy.
02
Schema & Alignment Design
Our experts build cross-modal schemas that define relationships between text, vision, audio, and sensor data.
03
Annotation & Linking
Annotators label and connect multimodal data streams using synchronized, automation-assisted platforms.
04
Cross-Modality Validation
Automated and human QA ensures every modality remains semantically and temporally aligned.
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05
Iterative Feedback & Optimization
Continuous refinement ensures model-aligned datasets that evolve with project
objectives.
06
Secure Delivery & Integration
Curated datasets are encrypted and delivered in multimodal-ready formats — JSON, TFRecord, COCO, or your preferred schema.
Industries We Serve
Our multimodal solutions empower innovation across data-driven industries
01
Technology & AI Startups
We support emerging AI teams building multimodal models for vision-language systems, robotics, automation, and foundational intelligence.
02
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Healthcare & Life Sciences
We enable diagnostic AI with integrated image, report, sensor, and clinical waveform annotations for improved medical accuracy.
03
Manufacturing & Robotics
We power robotic systems with synchronized video, audio, sensor, and spatial data annotations for intelligent automation.
04
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Transportation & Logistics
We annotate camera, telemetry, GPS, and operational audio data to optimize routing, safety, efficiency, and fleet operations.
05
Media & Entertainment
We label video, speech, subtitles, and scene metadata to support content moderation, indexing, and immersive media analytics.
06
Retail & E-Commerce
We align product images, descriptions, reviews, and shopper interactions to improve search, recommendations, and customer journey analytics.
07
Agriculture & AgriTech
We combine drone, satellite, sensor, and field imagery data to strengthen crop analysis, yield prediction, and farm intelligence.
08
Automotive
We synchronize camera, LiDAR, radar, and cabin audio data enabling advanced ADAS, perception, and autonomous navigation systems.
09
Education
We align lecture video, transcripts, notes, and assessments to support multimodal learning models and academic research applications.
10
Fintech
We unify documents, voice calls, emails, and images to support fraud detection, KYC workflows, and compliance automation.
10
Security & Surveillance
We synchronize CCTV footage, audio, sensors, and behavioral cues to improve detection, threat assessment, and security analytics.
10
sports & games
We align gameplay footage, audio cues, player telemetry, and commentary to enhance sports analytics and esports modeling.
10
legal
We combine transcripts, evidence videos, documents, and metadata to support legal analytics, e-discovery, and case intelligence.
Use Cases We Support
Vision-Language Models (VLMs)
Image captioning, visual question answering, and multimodal reasoning.
Robotics & Sensor Fusion
Integrating LiDAR, camera, and radar streams for navigation and obstacle detection.
Multimodal Generative AI
Linking text, visuals, and sounds for foundation models that create or summarize content.
Behavioral & Emotion AI
Synchronizing facial expressions, speech, and sentiment for empathetic AI systems.
Healthcare AI
Merging diagnostic images, reports, and sensor data for comprehensive clinical insights.
Anotag’s Multimodal Advantage
Unifying Every Modality with Precision,Performance, and Trust.
01
Integration-Focused
We don’t just label — we link, align, and synchronize across all input types.
03
Schema-to-Delivery Ownership
From cross-modality design to aligned, QA-validated output.
05
Multimodal QA Framework
Multi-layer validation for semantic consistency and timing precision.
02
Built for Complexity
Designed for multimodal generative, robotics, and sensor fusion use cases.
04
Temporal & Spatial Accuracy
Every frame, word, and signal perfectly mapped and timestamped.
06
Enterprise-Grade Security
ISO 27001–aligned, HIPAA/GDPR-compliant data workflows.
How We Ensure Quality
Precision, scalability & trust, powering every step of your AI data journey.
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Cross-Modality Consistency Checks
Validate synchronization between visual, audio, and text layers.
Human-in-the-Loop QA
Expert validation for alignment, context, and semantics.
Contextual Integrity
Ensure accuracy and cohesion across event timelines.
Transparent Reporting
Track precision, drift, and correlation metrics in real time.
Security, Integration & Delivery
We secure your multimodal data through every phase.
Encrypted Data Pipelines
AES-256 encryption across all
transfers and storage layers.
Role-Based Access
Tiered permissions and
complete audit visibility.
Compliance Ready
HIPAA, GDPR, and ISO 27001
-aligned operations.
Plug-and-Play Delivery
Data formats optimized for VLM, robotics, and multimodal ML training.
Ready to Build the Future of Connected Intelligence?
Let’s Bridge Your Data for Smarter Multimodal AI.
Book a demo to see how Anotag transforms fragmented datasets into synchronized, high-quality training data — powering the next generation of multimodal AI systems.