Decart AI Just Changed AI Video — But What Happens When You Can Edit Reality Live?
Most AI video tools work in a familiar way.
You write a prompt.
The model generates a video.
You wait.
Then you decide whether the result is good enough.
Decart AI is trying to change that workflow completely.
Instead of treating AI video as something that happens after you finish recording, Decart is building technology designed to transform visual content while it is happening.
Its latest technology includes Lucy 2.5, a real-time video transformation model, and Oasis 3, an interactive world model designed for physical AI. Decart says Lucy 2.5 can generate higher-quality edits with stronger temporal consistency and lower latency, with its latest model running live at 30 FPS.
That creates a much bigger question than “What is Decart AI?”
What happens when AI can change the world you’re looking at before you even finish the next sentence?
What Is Decart AI?
Decart AI is an AI company focused on real-time AI systems, video transformation and interactive world models.
Rather than concentrating on only one generative AI application, Decart is building several connected technologies.
Its current platform revolves around three major areas:
- Lucy — real-time world and video editing
- Oasis — interactive world generation for physical AI
- DOS — infrastructure designed to make low-latency AI systems more efficient
Decart describes Lucy as a world-editing model and Oasis as a world-generation model. Both are powered by its Decart Optimization Stack.
This distinction is important.
Decart isn’t simply asking:
“Can AI generate a video?”
It’s asking:
“Can AI understand and modify a visual world continuously?”
Why Is Decart AI Getting Attention?
The biggest reason is real-time AI video.
Traditional generative video often involves waiting for a finished output.
Decart’s Lucy technology is designed around a different experience:
Camera → AI understands the scene → prompt changes it → transformed video continues live.
Decart’s Lucy platform currently describes real-time transformations including character swaps, object addition, background editing, style changes, visual effects, object removal and attribute changes.
That opens the door to applications far beyond ordinary video creation.
What Is Decart AI Lucy 2.5?
Lucy 2.5 is Decart’s latest real-time video transformation model.
The company announced Lucy 2.5 on July 16, 2026, describing improvements in:
- Visual quality
- Temporal consistency
- Physically aware visual effects
- Latency
- Live generation
Decart says Lucy 2.5 operates at 30 FPS for live generation.
In simple terms, Lucy is designed to let users tell AI what should change in a live visual scene.
For example:
“Change the person’s shirt.”
“Add sunglasses.”
“Change the background.”
“Turn this environment into another style.”
The platform’s developer documentation demonstrates dynamic prompt changes during a live camera stream.
What Can Decart AI Lucy Do?
The range of possible transformations is one of the most interesting parts of Decart AI.
1. Change Characters
Lucy can transform characters within a video scene.
This could be useful for entertainment, social content and interactive experiences.
2. Add Objects
Objects can be introduced into an existing visual environment.
3. Remove Objects
Unwanted elements can be removed from the scene.
4. Change Backgrounds
A live environment can be transformed without traditional green-screen production.
5. Change Styles
The overall visual appearance can be modified through prompts.
6. Add VFX
Real-time visual effects can be incorporated into the scene.
7. Change Attributes
Individual visual characteristics can be modified.
Decart currently presents these capabilities as part of Lucy’s live editing range.
The Difference Between Decart AI and Normal AI Video Generators
This is where the Decart AI story becomes much more interesting.
Imagine two different workflows.
Traditional AI Video
Prompt
↓
Generate
↓
Wait
↓
Watch
↓
Regenerate if necessary
Decart-style Real-Time AI
Camera
↓
AI understands the scene
↓
Give instruction
↓
Scene changes
↓
Continue interacting
The difference is latency.
A normal video generator can take time to create a finished sequence.
A real-time system has to keep responding continuously.
That makes consistency and infrastructure much more difficult.
Why Does Low Latency Matter?
Suppose you’re using AI to edit a recorded video.
A few seconds of processing may not be a major problem.
But imagine you’re:
- Livestreaming
- Playing a game
- Demonstrating a product
- Using an interactive shopping experience
- Controlling a robot
- Training an autonomous system
Suddenly, waiting becomes a problem.
The AI needs to respond almost immediately.
Decart’s Lucy platform claims sub-40ms latency and continuous generation at up to 100 FPS, while Lucy 2.5 is described as generating live at 30 FPS. These are company-provided platform specifications and should not be interpreted as guaranteed performance on every device or configuration.
That’s why Decart is investing in the infrastructure underneath the models.
What Is Decart AI DOS?
DOS, or the Decart Optimization Stack, is the infrastructure layer behind Decart’s real-time AI systems.
Decart says DOS is designed to optimize AI training and inference across major computing platforms, including NVIDIA, AWS Trainium and Google TPU environments.
Why is that important?
Because real-time AI video is computationally expensive.
The system doesn’t generate one image.
It has to continuously process visual information.
It needs to maintain temporal consistency.
It needs to respond to instructions.
It needs to do all of this fast enough that users don’t feel like they’re waiting for a traditional render.
That makes infrastructure almost as important as the AI model itself.
What Is Decart AI Oasis 3?
If Lucy is about editing worlds, Oasis 3 is about generating interactive worlds.
Decart describes Oasis 3 as an interactive world model for physical AI.
The system is designed to create controllable, realistic environments that respond to physical control signals in real time.
The initial focus is autonomous vehicles.
Instead of relying entirely on real-world driving data, an AI system can potentially train inside generated environments representing different:
- Locations
- Weather conditions
- Lighting
- Traffic situations
- Driving scenarios
- Rare events
Decart says Oasis 3 can generate these environments on demand and provide synchronized multi-camera views from a coherent world state.
Why Oasis 3 Could Matter for Self-Driving Cars
Training autonomous vehicles in the physical world is expensive.
It can also be difficult to reproduce rare situations.
Imagine trying to collect enough real-world data for:
- Unusual road obstacles
- Rare weather
- Dangerous traffic situations
- Unexpected pedestrian behavior
- Unusual vehicle movements
Some of these events are difficult to capture safely.
A world model can potentially create variations repeatedly.
Decart says Oasis 3 allows autonomous systems to train and test in generated scenarios and respond to steering and other control signals in a closed-loop environment.
That doesn’t mean a generated simulation automatically replaces real-world testing.
It means AI-generated environments could become another layer in the training pipeline.
Decart AI Is Bigger Than Video Editing
This is the part many basic articles miss.
If you only describe Decart AI as a video generator, you miss the larger strategy.
Decart is building:
Infrastructure
Real-time video intelligence
Interactive world models
That combination points toward a much broader category of AI.
Instead of AI simply producing content, AI starts interacting with environments.
That’s a major conceptual shift.
How to Use Decart AI for Real-Time Video
For a creator or developer, the basic workflow is straightforward.
Step 1: Provide a camera or video stream
The system receives visual input.
Step 2: Select a real-time model
For example, Decart’s developer platform currently exposes Lucy 2.5 as a real-time model.
Step 3: Give an editing instruction
The developer or user provides a prompt describing the transformation.
Step 4: Receive the transformed stream
The AI sends back the edited video.
Step 5: Change the instruction dynamically
The developer can update the prompt while the stream is running.
Decart’s API example demonstrates starting a camera stream, connecting to Lucy 2.5 and dynamically changing the editing instruction during the session.
This is fundamentally different from exporting a video and waiting for a render.
Can Developers Use Decart AI?
Yes.
Decart provides a developer platform with access to its real-time and video models.
The current platform lists:
- Lucy real-time video editing
- Oasis interactive world models
- Lucy video-to-video models
- Lucy restyle models
- Image models
Developers can access Decart’s models through its SDK and API infrastructure.
This means Decart is not only targeting people who want to experiment with an AI website.
It is also targeting companies building their own applications.
What Can Developers Build With Decart AI?
The possibilities are broad.
Live Video Apps
Developers can build applications where video changes based on user instructions.
Interactive Shopping
A product could potentially be visualized in a user’s environment.
Advertising
Brands could dynamically transform video or insert products.
Social Platforms
Creators could interact with AI-generated environments during live content.
Gaming
AI could transform environments while players interact with them.
Robotics
Oasis could provide generated environments for physical-AI training.
These aren’t just theoretical categories. Decart itself highlights shopping, advertising, live streaming, social platforms and gaming for Lucy, while Oasis focuses initially on autonomous vehicles and physical AI.
Decart AI for Creators: Why It Could Be Different
A creator normally records content and edits it afterward.
Lucy changes that relationship.
Imagine a livestream where the creator can say:
“Put me inside a futuristic city.”
Then:
“Add a storm.”
Then:
“Change the character beside me.”
And the environment responds while the stream continues.
That turns AI from a post-production tool into part of the performance itself.
The video becomes interactive.
Decart AI for E-Commerce
Shopping may be one of the most commercially interesting applications.
Decart says Lucy can place products into a viewer’s environment in real time, including on the body, in a room or outdoors.
Imagine shopping for:
- Clothing
- Furniture
- Accessories
- Consumer products
Instead of looking at a static image, customers could potentially see the product in context.
The goal is to reduce the gap between:
“I can see the product.”
and
“I can imagine myself using the product.”
That could make real-time AI particularly valuable for online commerce.
Decart AI for Advertising
Traditional advertising content is produced before it reaches the viewer.
That means the creative is largely fixed.
Lucy introduces the possibility of making video content more programmable.
Decart describes applications where products, environments and interactive elements can be inserted into video as it plays.
That could eventually allow advertisers to create experiences that are:
- More personalized
- More interactive
- More responsive
- Easier to adapt
But responsible implementation will also require attention to disclosure, consent and advertising rules.
Is Decart AI Free?
This is one area where users should be careful with old articles.
Decart’s access and pricing can vary by product, model and usage.
Its developer platform exposes model-based access, and individual models can have usage-based costs. For example, the current Lucy 2.5 video API page displays a credit cost per second for batch video generation.
That means there isn’t one simple answer such as:
“Decart AI costs $X.”
The price depends on what you’re using.
A creator testing a consumer experience and a developer processing large amounts of video are very different use cases.
Is Decart AI Worth Trying?
For someone interested in conventional AI video generation, Decart may not be the obvious first choice.
But if your interest is:
- Real-time video
- Live AI
- Interactive media
- AI-powered streaming
- Physical AI
- Robotics
- Autonomous systems
- Developer APIs
then Decart is much more relevant.
Its technology is aimed at a different problem.
It’s not simply:
“Make me a cool video.”
It’s:
“Make AI respond to the world while the world is happening.”
Decart AI vs Traditional Video AI
| Feature | Traditional AI Video | Decart AI |
|---|---|---|
| Main idea | Generate video | Transform/interact in real time |
| Input | Prompt, image, video | Live video, prompts, environments |
| Workflow | Generate → wait | Interact → transform |
| Real-time focus | Usually limited | Core focus |
| Live streaming | Not always central | Major use case |
| Interactive worlds | Limited | Major focus through Oasis |
| Robotics | Not usually central | Oasis targets physical AI |
| Developer API | Depends on platform | Available |
This isn’t saying Decart is universally better.
It means Decart is targeting a different layer of the AI video market.
The Biggest Problem Decart AI Has to Solve
Real-time AI sounds impressive.
But maintaining quality while keeping latency extremely low is difficult.
A model needs to maintain:
- Character consistency
- Object consistency
- Scene continuity
- Visual quality
- Prompt accuracy
- Fast response times
A single impressive AI-generated frame isn’t enough.
A live system has to keep producing believable results.
Frame after frame.
That is the technical challenge behind the entire Decart approach.
Why Decart Raised $300 Million
In May 2026, Decart announced a $300 million funding round led by Radical Ventures, saying the investment would support its infrastructure layer for low-latency AI systems.
The company said the funding brought its total funding to more than $450 million and accompanied the introduction of DOS 2.0 and plans for new generations of Lucy and Oasis.
That funding is important because it shows investors are backing a vision that extends beyond a single AI video application.
Decart wants to build the infrastructure underneath real-time AI.
What Comes Next for Decart AI?
The direction is becoming increasingly clear.
Lucy is moving toward better real-time video transformation.
Oasis is moving toward interactive physical-AI environments.
DOS is designed to make the underlying computation more efficient.
If these technologies continue improving, the next generation of AI applications may not feel like traditional apps.
They could feel more like interactive environments.
Instead of asking AI for a finished result, users may interact with AI continuously.
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Decart AI: The Bigger Picture
The most interesting thing about Decart isn’t any single demo.
It’s the idea behind the technology.
For years, generative AI has been largely about creating things:
Text.
Images.
Audio.
Video.
Decart is pushing toward something different:
AI that continuously understands and changes a visual world.
Lucy approaches that from the video side.
Oasis approaches it from the world-model side.
DOS approaches it from the infrastructure side.
Together, those technologies suggest that real-time AI could become a new computing interface.
Decart AI FAQs
1. What is Decart AI?
Decart AI is an artificial intelligence company focused on real-time video transformation, interactive world models and AI infrastructure.
2. What is Decart AI used for?
Decart AI can be used for real-time video editing, livestreaming, advertising, virtual shopping, gaming, interactive experiences and physical-AI applications.
3. What is Lucy 2.5?
Lucy 2.5 is Decart’s latest real-time video transformation model, designed to make high-quality edits live with improved temporal consistency and lower latency.
4. Can Decart AI edit video in real time?
Yes. Real-time video transformation is one of Decart’s main technology areas.
5. Can Lucy 2.5 change a person’s clothes?
Decart’s developer examples show prompt-based transformations such as changing a person’s outfit.
6. Can Decart AI change video backgrounds?
Yes. Background editing is among Lucy’s listed real-time capabilities.
7. Can Decart AI add objects to videos?
Yes. Lucy supports object addition as part of its real-time editing range.
8. Can Decart AI remove objects?
Yes. Object removal is listed among Lucy’s editing capabilities.
9. What is Oasis 3?
Oasis 3 is Decart’s interactive world model for physical AI, initially focused on applications such as autonomous vehicles.
10. Is Oasis 3 a normal AI video generator?
No. It is designed as an interactive world model that responds to physical control signals and generates environments in real time.
11. Can Oasis 3 be used for autonomous vehicles?
Decart says Oasis 3 is initially focused on autonomous vehicles and can provide generated environments for training and testing.
12. What is DOS?
DOS stands for Decart Optimization Stack. It is the company’s infrastructure layer for optimizing AI training and inference.
13. Does Decart AI have an API?
Yes. Decart provides API and SDK access to its models through its developer platform.
14. Can developers build apps with Decart AI?
Yes. Developers can integrate Decart models into applications using its SDK and API.
15. Is Decart AI free?
Access depends on the specific product and usage. Some experiences can be tried, while API and model usage can involve credits or other costs.
16. How much does Decart AI cost?
There is no single universal price for every Decart product. Pricing depends on the model, platform and amount of usage.
17. Is Decart AI good for creators?
It can be particularly useful for creators interested in real-time video effects, livestreaming and interactive content.
18. Can Decart AI be used for livestreaming?
Yes. Decart specifically presents Lucy as a technology for live streaming and real-time creative experiences.
19. Can Decart AI be used for advertising?
Yes. Decart lists live advertising as one of Lucy’s target applications.
20. Can Decart AI be used for e-commerce?
Yes. Decart describes real-time product placement and virtual try-on as applications for Lucy.
21. Can Decart AI be used for gaming?
Yes. Gaming is one of the applications Decart identifies for its real-time world-editing technology.
22. What makes Decart AI different from other AI video tools?
Its primary distinction is its focus on real-time video transformation and interactive world models rather than only generating finished video clips.
23. How fast is Decart AI?
Decart reports sub-40ms latency for Lucy’s real-time platform and describes Lucy 2.5 as generating live at 30 FPS. Actual performance can vary by setup.
24. Is Decart AI worth trying?
It is particularly worth exploring for developers, creators and businesses interested in real-time AI video, interactive worlds or physical AI.
25. Is Decart AI the future of video?
It is too early to say that any single company will define the future of video. But Decart’s real-time approach represents an important direction: moving AI video from offline generation toward continuous interaction.
Final Verdict
Decart AI is trying to solve a problem that traditional AI video generators don’t fully solve: making AI video interactive while it is happening.
Lucy 2.5 focuses on real-time video transformation.
Oasis 3 focuses on interactive worlds for physical AI.
DOS provides the infrastructure underneath these systems.
And the company’s $300 million funding round shows that Decart is building toward something much larger than a single consumer AI tool.
The biggest opportunity may not be replacing traditional video editors.
It could be creating an entirely new category where:
video becomes programmable,
worlds become interactive,
and AI responds while you are still inside the experience.
That is the real reason Decart AI deserves attention.
Not because it can make another AI-generated video.
But because it is trying to make the video around you change in real time.