Multimodal AI
Beyond text-only AI. Our multimodal solutions process and reason across vision, language, audio, and video simultaneously — unlocking capabilities that were science fiction just months ago.
Modalities We Support
Why Multimodal AI?
Richer Understanding
A diagram, screenshot, or video contains far more information than text alone. Multimodal models perceive the full context — layout, color, spatial relationships — and reason holistically.
One Model, Many Inputs
Replace a zoo of specialized models with a single multimodal backbone. Process invoices, analyze security footage, transcribe meetings, and answer questions — all through one unified API.
Human-Like Perception
Humans naturally integrate sight, sound, and language. Multimodal AI mimics this — reading a chart, hearing the tone of a voice, watching a process unfold — enabling interactions that feel genuinely intelligent.
Multimodal AI Services
Vision-Language Models
Custom vision-language models that understand images, diagrams, documents, and video frames — enabling visual Q&A, captioning, and document intelligence at enterprise scale.
- Custom VLM fine-tuning
- Document visual Q&A (charts, invoices)
- Image captioning & description
- Visual grounding & object detection
Multimodal RAG
Retrieval-augmented generation across text, images, tables, and audio — retrieve the most relevant multimodal context and generate grounded responses with citations.
- CLIP & multimodal embeddings
- Hybrid text-image retrieval
- Figure & table extraction
- Multi-vector indexing strategies
Video Understanding
Real-time and batch video analysis pipelines that extract temporal events, transcriptions, object tracks, and scene descriptions for search and summarization.
- Video summarization & chapters
- Temporal action detection
- Speech-to-text + visual fusion
- Live stream analysis
Audio & Speech AI
Advanced audio processing with speaker diarization, emotion detection, sound event classification, and cross-modal alignment for voice-driven applications.
- Speaker diarization & transcription
- Emotion & tone analysis
- Sound event detection
- Voice cloning & synthesis
Multimodal Embeddings
Unified embedding spaces where text, images, audio, and video coexist — enabling cross-modal search, zero-shot classification, and semantic clustering across data types.
- ImageBind / ImageText embeddings
- Cross-modal similarity search
- Zero-shot classification
- Multimodal clustering
Document Intelligence
Enterprise document processing that reads and understands complex layouts — forms, tables, handwriting, and diagrams — using multimodal foundation models.
- Layout understanding (LayoutLM)
- Table extraction & reasoning
- Handwriting recognition
- Multi-page document analysis
Multimodal Technology Stack
Ready to Go Multimodal?
From proof-of-concept to production — our team builds custom multimodal AI systems tailored to your data and use case.