Collov Labs is a visual agent platform that combines perception, planning, and generation to create multimodal agents capable of executing complex visual tasks. It integrates a perception layer for open-vocabulary detection, segmentation, and spatial understanding; an agent orchestrator that interprets user intent, decomposes tasks, and plans multi-step actions; and a post-trained diffusion engine that continuously updates from production interactions. The system learns from execution traces, corrections, and outcomes to improve planning and reliability over time.
Collov Labs powers domain-specific vertical applications, including Collov AI for real estate staging and image enhancement, NewEyes for intelligent visual capture and action, and CozyAI for consumer-focused design. The platform is backed by research partnerships with Intel, Qualcomm, and others, and is trusted by developers for its ability to move beyond single-response generation to coordinated visual execution.
Key Features
- Perception Layer: Converts raw images/video into structured scene representation (objects, depth, planes, spatial relationships).
- Agent Orchestrator: Plans and executes multi-step visual actions based on user intent and constraints.
- Continuous Learning: Agent interactions feed back into the system, improving planning and generation over time.
- Vertical Applications: Pre-built interfaces for real estate, consumer design, and intelligent capture.
Who It’s For
Developers, researchers, architects, and designers building or integrating visual AI workflows.
Key Benefits
- Multimodal agents that plan and execute complex visual workflows
- Continuous improvement through agent interaction feedback loops
- Backed by research and trusted by developers
- Vertical applications for real estate, design, and consumer use
