Multimodal Annotation Services for AI
Build aligned training datasets across text, image, audio, video and sensor data. Innovatiana provides managed multimodal annotation services for cross-modal grounding, temporal synchronization, multimodal question answering and sensor fusion, with human verification across every modality.
🧠 Unified Multimodal Datasets
Combine image, text, video, audio, LiDAR and sensor data in a single annotation schema. We deliver synchronized, consistently labeled datasets in the formats required by your training and evaluation pipelines.
🧩 Cross-Modal Annotation Expertise
Our teams understand how information interacts across modalities. They align entities, events, timecodes, regions, utterances and sensor signals so every annotation remains coherent across the complete sample.
🌍 Domain-Trained Teams
Transport, healthcare, retail, manufacturing, media and education: we assign annotators who understand your domain, modalities, label ontology and edge cases, then calibrate them against your quality criteria.
Multimodal Data Annotation Services
Text-Image Alignment and Region Grounding
Connect captions, descriptions, attributes, instructions or dialogue to the objects and regions they describe. We annotate image-text pairs at sample, object or pixel level so vision-language models can learn accurate relationships between language and visual content.
Identify the relevant visual elements in the image (objects, scenes, actions)
Delimit areas (bounding box, segment, etc.)
Associate each area with a text segment or descriptive tag
Validate the semantic and visual consistency of links
Visual search — Allow the search of images by text captions
E-commerce — Associate produced texts with visually identified objects
Generating captioned images — Train automatic description models
Audio-Video Transcription and Temporal Alignment
Transcribe speech, sounds and on-screen dialogue while aligning every segment with the relevant timestamps, speakers, scenes and visual events. We support subtitles, diarization, word-level timing and audiovisual synchronization for training and evaluation datasets.
Segment audio or video content into logical units (sentences, scenes...)
Transcribe words or sounds accurately
Add accurate timecodes for each segment
Check fluidity and synchronization
Automatic subtitling — Create synchronized subtitles for movies or videos
Content indexing — Allow long videos to be searched
Conversational analysis — Study the tone and vocabulary in customer calls
Audio-Visual Event Annotation
Identify events that are expressed through both sound and visual activity, then connect each audio segment to the relevant object, action, person or scene. These synchronized labels help models distinguish causal events from coincidental signals.
Watch the audio-visual excerpts
Identify visible and audible trigger events
Annotate the objects or areas concerned
Link events to corresponding sound segments
Smart surveillance — Detect suspicious noises combined with movements
Audiovisual scene analysis — Understand interactions in complex videos
Robotics — Locate obstacles in volume for smart navigation
Cross-Modal Grounding and Entity Linking
Link people, objects, places, actions and concepts mentioned in text or speech to their corresponding regions, tracks or time segments in images and videos. We create explicit cross-modal identifiers so models can reason about the same entity across multiple inputs.
Identify named entities or referential expressions in text
Annotate their correspondence in the image (object, person, place...)
Establishing explicit links (anchors, cross IDs)
Validate the accuracy of the semantic mapping
Visual Question Answering (VQA) — Link question text to visual objects
Accessibility — Generate visual descriptions for visually impaired people
Rich translation — Improve contextual translation with visual support
Multimodal Emotion and Interaction Annotation
Annotate emotion, engagement, intent and interaction signals across speech, language, facial expressions, gestures and context. We apply calibrated taxonomies and temporal boundaries so models can distinguish explicit sentiment from non-verbal and situational cues.
Identify emotionally charged multimodal sequences
Annotate vocal (intonation, rhythm), visual (expressions), and verbal (word choice) expressions
Classify according to a taxonomy of emotions (joy, anger, stress...)
Mark the temporal or visual areas concerned
Call centers — Detect frustration or satisfaction in customer exchanges
UX studies — Analyze emotional reactions to a product or interface
Voice assistants and robots — Enabling empathetic interactions in real time
Multimodal Question Answering and Visual Reasoning
Create and validate question-answer pairs based on images, documents, audio clips or videos. We label the supporting evidence, question type, reasoning path and answer quality to prepare datasets for VQA, VideoQA and multimodal assistant training.
Present a media (image, video, audio-visual scene)
Generate or collect a relevant content-related question
Provide a correct and clear answer
Annotate the type of question (open, boolean, multiple choice,...)
Visual education systems — Ask questions about illustrated content
Rich chatbots — Integrate the understanding of images or videos into interactions
AI assistants — Answer questions by analyzing what is seen
Use cases
Our expertise covers a wide range of AI use cases, regardless of the domain or the complexity of the data. Here are a few examples:
Why choose Innovatiana for Multimodal Annotation?
Our added value
Extensive technical expertise in data annotation
Specialized teams by sector of activity
Customized solutions according to your needs
Rigorous and documented quality process
State-of-the-art annotation technologies
Measurable results
Boost your model’s accuracy with quality data, for model training and custom fine-tuning
Reduced processing times
Optimizing annotation costs
Increased performance of AI systems
Demonstrable ROI on your projects
Customer engagement
Dedicated support throughout the project
Transparent and regular communication
Continuous adaptation to your needs
Personalized strategic support
Training and technical support
Compatible with
your stack
We use all the data annotation platforms of the market to adapt us to your needs and your most specific requests!
Secure Data
We pay particular attention to data security and confidentiality. We assess the criticality of the data you want to entrust to us and deploy best information security practices to protect it.
No stack? No prob.
Regardless of your tools, your constraints or your starting point: our mission is to deliver a quality dataset. We choose, integrate or adapt the best annotation software solution to meet your challenges, without technological bias.
Build Aligned, Human-Verified Data for Your Multimodal AI!
