Multimodal Processing
Combining insights across text, images, audio, and more.
Multimodal Processing enables AI systems to understand, reason, and act based on information from multiple data types simultaneously, just like humans do.
At Dot Square Lab, we design AI solutions that intelligently integrate text, images, audio, video, and structured data, creating richer, more context-aware applications that outperform single-source models.
By unlocking synergies between diverse data streams, we help organizations build smarter, more capable AI systems.
What we build with
Multimodal Representation Learning
Multimodal Representation Learning
Create shared representations across modalities for seamless understanding and reasoning.
Vision-Language Models (VLMs)
Vision-Language Models (VLMs)
Combine image and text processing for tasks like visual question answering, captioning, and retrieval.
Cross-Modal Retrieval Systems
Cross-Modal Retrieval Systems
Enable intelligent search and matching across different data types (e.g., text-to-image, image-to-text).
Multimodal Fusion Techniques
Multimodal Fusion Techniques
Integrate and align data from multiple sources at feature, intermediate, or decision levels.
Speech and Audio Integration
Speech and Audio Integration
Process spoken language and environmental sounds alongside text and visual data for richer context.
Multimodal Generative Models
Multimodal Generative Models
Develop models capable of generating complex outputs across multiple formats (e.g., text and image generation).
Applications
Interactive AI Assistants
Interactive AI Assistants
Build assistants that can see, listen, read, and respond with greater context-awareness and precision.
Healthcare Diagnostics
Healthcare Diagnostics
Combine imaging data, patient records, and clinical notes for more accurate and holistic diagnoses.
Retail and eCommerce Search
Retail and eCommerce Search
Enable customers to search products using text descriptions, photos, or even voice commands.
Smart Surveillance and Monitoring
Smart Surveillance and Monitoring
Integrate video feeds, audio detection, and textual data to enhance security and situational awareness.
Content Recommendation Systems
Content Recommendation Systems
Leverage user interactions across video, audio, text, and imagery to deliver more personalized recommendations.
Autonomous Systems
Autonomous Systems
Equip autonomous vehicles, drones, and robots with the ability to interpret multimodal sensory inputs for safer navigation and decision-making.
