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The Visual Agent Platform
From perception to execution, multimodal agents that plan, execute, and iterate across real-world visual environments.
Not a Product. Not a Studio. A System.
Our Mission
Unlocking the latent potential of visual intelligence through autonomous optimization. We engineer self-learning architectures that scale high-fidelity creativity across every industry.
What We Do
Collov Labs combines visual understanding, agent planning, generative models, and continuous learning loops to create systems that move beyond answering questions to completing complex visual workflows.
BACKED BY RESEARCH, Trusted by developers
A unified intelligence substrate. By fusing self-optimizing diffusion with recursive agentic loops, products are no longer built; they emerge as vertical instantiations of the system itself.
Sophistication through autonomy.
Sophistication through autonomy.
Perception Layer (Optimized for Action)
Open-vocabulary detection/segmentation plus depth/line/plane understanding transforms pixels into a structured, queryable scene representation.
Agent Orchestrator (Planning & Control)
The agent interprets user intent, reasons over constraints, decomposes tasks, and plans multi-step visual actions instead of generating single responses.
Every deployed agent interaction produces execution traces, corrections, and outcomes that feed back into the system — continuously improving planning, execution, and reliability over time.
Every deployed agent interaction produces execution traces, corrections, and outcomes that feed back into the system — continuously improving planning, execution, and reliability over time.
Post-Trained Diffusion Engine (Low-Latency)
All production interactions converted into structured training signals to continuously update the model, reasoning policy, validators.
From Language-Native Agents to Visual-First Agents
Language agents explain.
Visual agents execute.
Most frontier models perform well in isolated demos, yet fail with complicated tasks. CollovLab's visual agents coordinate perception, reasoning, and generation into a unified execution system. The system transforms visual AI from single-step generation into coordinated task execution.
Tasks Need Plans, Not Answers
Real tasks require multi-step planning. Visual-first agents plan before acting.
Execution Requires State and Memory
Agents track what changed and what remains, maintaining state across actions.
Intelligence Emerges Through Iteration
Agents act, observe, correct, and repeat. Intelligence forms through execution loops.
Visual Agent Vertical Applications
Each Collov product is a domain-specific interface into the same intelligence core — tuned for different contexts, users, and constraints.
Intelligent Capture
Redefined
Redefined
Empowering your workflow with agentic vision. We are building the future of autonomous spatial capture.
Collov AI
Intelligent Design For Real Estate
Intelligent Design For Real Estate
By automating high-fidelity staging and image enhancement, our agent system serves as a performance multiplier—accelerating the sales cycle and increasing listing quality with minimal manual effort.
CozyAI
Advanced Visual Design for Prosumers
Advanced Visual Design for Prosumers
A softer, slower interface for everyday environments — focused on presence, comfort, and continuity rather than productivity.
Open-World Scene Parsing
Identify objects, materials, geometry, and spatial relationships — not just labels.
Spatial Reasoning
Understand depth, planes, boundaries, occlusion, and real-world constraints.
State Representation
Convert visual scenes into structured state the agent can reason over, track, and update.
Vision & Spatial Understanding
Convert raw images/video into rich & structured data our agent can reason and act on, including content layer and form layer.
Vision Reasoning & Deep Thinking
Turn perception into decisions—understand the task, reason over the scene, and plan multi-step actions before generating or editing.
Generative Diffusion Model
Production-grade image editing DiT backbone that can be tuned and optimized for each vertical and for different deployment constraints.
The Visual Agent Execution Loop
Visual agents coordinate perception, reasoning, and generation into a unified execution system.
The system transforms visual AI from single-step generation into coordinated task execution.
Perceive
Understand the scene and convert pixels into structured state.
Plan
Interpret the task, reason over constraints, and design an execution strategy.
Act
Use generative tools and visual models to perform edits or actions.
Evaluate
Assess results against constraints and user intent.
Improve
Learn from outcomes and refine future execution.
Perceive
Understand the scene and convert pixels into structured state.
Act
Use generative tools and visual models to perform edits or actions.
Improve
Learn from outcomes and refine future execution.
Plan
Interpret the task, reason over constraints, and design an execution strategy.
Evaluate
Assess results against constraints and user intent.
Research That Trains the System
Research at Collov Labs is not exploratory theater. It directly informs how the system learns, adapts, and generalizes.
ICLR2025
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution T2I Synthesis
An efficient masked generative transformer for high-resolution T2I synthesis, delivering SOTA quality with significantly lower GPU costs.
AAAI2025
D-edit: An item is Worth a Prompt
High-precision, area-specific image editing for interior design elements (e.g., flooring, cabinetry) using localized diffusion prompts.
IJCAI2024
Integrating View Conditions for Image Synthesis
Enhances diffusion models with 3D spatial awareness and view-conditional consistency for structurally accurate generation.
ICLR 2025
DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle
A novel pruning-at-initialization method that reduces model size and training overhead using the Node-Path Balance Principle.
ICML 2025
FlexControl: Computation-Aware ControlNet with Differentiable Router
A computation-aware ControlNet using a differentiable router to optimize inference costs and support high-concurrency applications.
Featured in Hacker News
No More Adam: Learning Rate Scaling at Initialization is All You Need
A cost-efficient training breakthrough that replaces Adam optimizers.
In Submission
Distillate Diffusion Model is Easier Than You Think
A simplified, SOTA approach to pretraining flow-matching models, streamlining the creation of high-performance diffusion models.
ICLR2025
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution T2I Synthesis
An efficient masked generative transformer for high-resolution T2I synthesis, delivering SOTA quality with significantly lower GPU costs.
AAAI2025
D-edit: An item is Worth a Prompt
High-precision, area-specific image editing for interior design elements (e.g., flooring, cabinetry) using localized diffusion prompts.
IJCAI2024
Integrating View Conditions for Image Synthesis
Enhances diffusion models with 3D spatial awareness and view-conditional consistency for structurally accurate generation.
ICLR 2025
DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle
A novel pruning-at-initialization method that reduces model size and training overhead using the Node-Path Balance Principle.
ICML 2025
FlexControl: Computation-Aware ControlNet with Differentiable Router
A computation-aware ControlNet using a differentiable router to optimize inference costs and support high-concurrency applications.
Featured in Hacker News
No More Adam: Learning Rate Scaling at Initialization is All You Need
A cost-efficient training breakthrough that replaces Adam optimizers.
In Submission
Distillate Diffusion Model is Easier Than You Think
A simplified, SOTA approach to pretraining flow-matching models, streamlining the creation of high-performance diffusion models.
Human Generation
Aesthetic and Contextual
Fidelity
Aesthetic and Contextual
Fidelity
Superior control and fidelity
via RL alignment focused on subtle details (e.g. accurate shadows, lighting, and pose coherence) ensuring the humans feel integrated into the scene, not simply pasted in.
via RL alignment focused on subtle details (e.g. accurate shadows, lighting, and pose coherence) ensuring the humans feel integrated into the scene, not simply pasted in.
Scene Generation
Autonomous Environment Synthesis
Autonomous Environment Synthesis
Deep contextual understanding of the environment enabling the agent to autonomously plan and execute complex transformations, ensuring lighting, materials, and perspectives are unified across the entire scene.
Product Generation
Accuracy and Coherence
Accuracy and Coherence
Proprietary DIT architectures and Spatial Reasoning guarantees Zero-Shot Spatial Reasoning. Ensures generated products are placed correctly and follow real-world physics and design principles.
Events and Engagement
Collov Partners with Intel to Redefine Virtual Staging with Hybrid AI
In collaboration with Intel, Collov AI demonstrated how our spatial intelligence models are optimized for Intel’s latest hardware. By leveraging OpenVINO and Intel Core Ultra processors, we enable high-performance, real-time AI design workflows that run efficiently on edge devices, bringing professional-grade spatial reasoning to users without the need for high-end cloud infrastructure.
Tech Week SF x a16z
Redefining Spatial Intelligence
Collov AI hosted a premier gathering during a16z Tech Week in San Francisco, uniting researchers and founders to explore how spatial intelligence redefines the relationships between movement, technology, and human connection. The evening fostered a deep dialogue on how AI-driven spatial understanding is beginning to reshape the way we live, work, and interact with our physical environments.
NeurIPS 2024
Pioneering 3D Research
At NeurIPS 2024, we bridged the gap between academic breakthroughs and real-world applications by hosting the 3D/Spatial Intelligence After-Party for visionaries from Stanford, MIT, and Google. Through key research initiatives like Meissonic and our AAAI-accepted project D-edit, Collov AI continues to lead the democratization of high-resolution 3D synthesis for global industries.
Snapdragon Summit 2025
On-Device Design Intelligence
In partnership with Qualcomm, we debuted the industry's first on-device AI model demonstrated on a consumer website at the Snapdragon Summit 2025. By leveraging local NPU processing to deliver fast, private, and efficient design experiences, we are successfully bringing professional-grade AI intelligence directly into the hands of millions of creators.
Cloudflare Connectivity Summit
Collov AI joined industry leaders at the Cloudflare Summit to discuss the intersection of cybersecurity and generative infrastructure. By leveraging Cloudflare's global edge network, we are ensuring that our spatial intelligence tools remain lightning-fast and secure for users worldwide, redefining how professional design data is protected in the cloud.
StarTX Innovation Showcase
As a proud sponsor of the StarTX accelerator program, Collov AI is committed to mentoring the next wave of Silicon Valley founders. During this showcase, we highlighted the importance of "Spatial-First" engineering, sharing our journey from research to scale and empowering emerging startups to build high-impact AI solutions.
The Epic Connector: Unreal Engine x AI
We unveiled our latest "Epic Connector" integration, bridging the gap between Collov's generative 3D models and the Unreal Engine ecosystem. This collaboration allows architects and designers to port AI-generated environments directly into real-time engines, drastically reducing the time from conceptual ideation to immersive walkthrough.
World Economic Forum @ Davos
Representing the vanguard of spatial intelligence at Davos, Collov AI participated in high-level dialogues regarding the ethical deployment of generative technologies. We addressed global leaders on how 3D AI synthesis can drive sustainable urban planning and modernize global manufacturing, aligning technological growth with societal needs.
GenAI Assembly 2024
At the GenAI Assembly, Collov AI stood at the center of the technical discourse on large-scale multimodal models. We showcased our latest breakthroughs in high-resolution synthesis, demonstrating to a community of developers and researchers how our proprietary architecture is setting new benchmarks for quality and consistency in AI-generated design.
Collov Partners with Intel to Redefine Virtual Staging with Hybrid AI
In collaboration with Intel, Collov AI demonstrated how our spatial intelligence models are optimized for Intel’s latest hardware. By leveraging OpenVINO and Intel Core Ultra processors, we enable high-performance, real-time AI design workflows that run efficiently on edge devices, bringing professional-grade spatial reasoning to users without the need for high-end cloud infrastructure.
Tech Week SF x a16z
Redefining Spatial Intelligence
Collov AI hosted a premier gathering during a16z Tech Week in San Francisco, uniting researchers and founders to explore how spatial intelligence redefines the relationships between movement, technology, and human connection. The evening fostered a deep dialogue on how AI-driven spatial understanding is beginning to reshape the way we live, work, and interact with our physical environments.
NeurIPS 2024
Pioneering 3D Research
At NeurIPS 2024, we bridged the gap between academic breakthroughs and real-world applications by hosting the 3D/Spatial Intelligence After-Party for visionaries from Stanford, MIT, and Google. Through key research initiatives like Meissonic and our AAAI-accepted project D-edit, Collov AI continues to lead the democratization of high-resolution 3D synthesis for global industries.
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