Short answer: Sequoia led Decart’s $21 million seed round, announced on October 31, 2024. The investment supported Decart’s broader real-time generative-AI infrastructure, not an announced standalone “engineless game” product. Around the same time, Decart showed Oasis, a playable AI-generated world whose core visuals were produced by a model rather than a conventional game engine. That was a significant rendering experiment, but it was not a finished game, a general-purpose editor, or proof that Unity and Unreal are obsolete.
What Sequoia actually funded
Sequoia led Decart’s $21 million seed financing, announced October 31, 2024. Investor Oren Zeev also participated. Decart, founded in 2023 by Dean Leitersdorf and Moshe Shalev, began with a more general problem: making the training and inference of large generative models faster and more efficient. Sequoia described those infrastructure advances as the foundation for real-time interactive experiences, including Oasis.
That distinction matters. The disclosed financing was a bet on Decart’s AI infrastructure and real-time generation capabilities. It was not announced as funding for a game studio, a Unity replacement, or a product that automatically turns prompts into shippable games. Oasis was an application and demonstration of the technology.
Sequoia’s account of the project is available in its investment announcement, while Decart published the financing date and amount in its company announcement.
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What Oasis demonstrated
Oasis looked like a block-based, open-world game. A player could move through the environment and provide inputs, while a trained video model generated the next visible state. Sequoia described it as being powered by a single model trained on videos rather than a conventional gaming engine.
In a conventional game, the engine stores geometry, materials, lights, cameras, animations, collision volumes and other objects. It runs game logic and physics, then renders the resulting state. Oasis took a different route at its core visual layer: the model used context and player input to predict successive frames.
That does not mean Oasis was software-free. It still required a trained model, inference hardware, input handling, conditioning and control logic, delivery infrastructure, and an interface connecting the player to the generation loop. “Engineless” is therefore best understood as engine-free world rendering in the demonstration, not the absence of a runtime or technical stack.
Decart itself described the original Oasis as a technology demonstration, not a video game or entertainment experience. Its historical disclaimer is on the Decart site. It was playable and game-like, but that is not the same as being a commercial game or a complete development platform.
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Generative rendering versus a conventional game engine
| Concern | Traditional engine | Generative-world approach |
|---|---|---|
| World representation | Explicit scenes, objects, geometry and data | Learned visual representation inferred from context and input |
| Rendering | Rasterization or ray tracing from a known scene state | Model-generated frames or visual states |
| Rules and physics | Code and simulation systems developers can inspect | May be partly learned, externally controlled, or both |
| Editing | Directly edit assets, levels, scripts and parameters | Usually requires prompts, conditioning, model controls or additional tools |
| Reproducibility | Same saved state can generally reproduce the same result | Requires control of state, seeds, model versions and inference behavior |
| Debugging | Inspect code, scene graphs, collisions and logs | Failures can arise from inference, drift, latency or inconsistent visual output |
| Compute profile | Runtime rendering is usually performed on the player’s device | Real-time generation can require substantial server-side inference capacity |
The model can generate what a player sees without maintaining the same explicit, inspectable world state as an engine. That is the source of both the novelty and the difficulty.
Why an engine-free approach could matter
- Faster visual prototyping: teams could explore environments without authoring every model and texture first.
- Dynamic variation: a world could change in response to player input, language, or live events.
- Personalized environments: different players might receive visually distinct spaces or transformations.
- Interactive video: generated visuals could sit between a game, a live effect and a video stream.
- Simulation: learned environments may help researchers explore scenarios that are expensive to build manually.
These are plausible applications of real-time generative models, not established claims that Decart has already delivered a production game pipeline.
Why Oasis did not replace Unity or Unreal
Persistent state
A production game must preserve inventories, damage, object locations, quests, saves and world changes. A generative model may produce a convincing frame while losing or contradicting details over a long session.
Rules, physics and collision
Competitive play, platforming, vehicles and puzzles depend on reliable collision and deterministic rules. Visual plausibility alone does not provide a trustworthy simulation.
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Spatial reliability
A model can make a scene look three-dimensional without maintaining an exact map that supports navigation, collision, multiplayer synchronization or complex interactions.
Latency and operating cost
Every generated frame consumes inference capacity. Decart’s API is usage-priced, so a prototype and a persistent service for thousands of players have very different economics.
Reproducibility and debugging
Developers need to reproduce bugs, inspect state and identify the responsible rule or asset. Inference drift and model-version changes make that harder than debugging a conventional scene and codebase.
Content, rights and safety
A commercial product would need clear policies for training-data provenance, user-uploaded material, generated characters and brands, moderation, output ownership and redistribution. The public Oasis material does not establish a complete licensing framework for using it as a general game-production system.
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Decart’s current positioning is broader than games. Its company overview presents three central lines of work:
- DOS: an optimization stack for high-performance AI training and inference.
- Lucy: a real-time video and world-editing model that can transform people, objects, backgrounds, styles and effects.
- Oasis: an interactive world-model platform increasingly aimed at physical-AI simulation.
Decart’s Oasis 3 page describes applications including autonomous vehicles and robotics, with API access. That is a significant shift from the 2024 game-like demonstration: current Oasis messaging emphasizes world models and physical AI rather than a consumer game editor.
Lucy is more naturally understood as a real-time visual-transformation layer. It may augment a game world, stream or interactive experience, but Decart does not present it as a replacement for gameplay logic, physics, networking or a complete 3D engine.
Decart later announced a $300 million round led by Radical Ventures, taking total funding above $450 million. Sequoia remained among the participating investors. That later financing is separate from the original Sequoia-led $21 million seed round; Radical’s account is at Radical Ventures.
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Can developers use Decart to build a game today?
Developers can sign up for Decart’s API platform, create an API key and use official JavaScript, Python or Swift tooling. Permanent API keys should remain on a server; browser and mobile clients should use short-lived client tokens, according to the authentication documentation.
The public materials support real-time video generation, visual transformation and world-model integrations. They do not establish a complete prompt-to-shippable-game workflow with a scene editor, asset pipeline, scripting system, save/load layer, multiplayer stack, console deployment tools and conventional debugging environment.
Decart’s pricing documentation describes pay-as-you-go billing, free credits for new accounts and custom enterprise pricing. The page listed these examples in August 2026:
| Model | Listed rate | Qualification |
|---|---|---|
| Lucy 2.1 real-time | $0.02 per active-generation second | 720p; usage-based rate observed in August 2026 |
| Lucy 2.1 video | $0.04 per generated second | 720p; usage-based rate observed in August 2026 |
| Lucy Restyle 2 real-time | $0.01 per second | Usage-based rate observed in August 2026 |
| Lucy Image 2 | $0.01 at 480p; $0.02 at 720p | Per-generation rates observed in August 2026 |
Model names and prices can change. A studio must model inference costs, concurrency, latency and fallback behavior before treating generated rendering as a replacement for local engine rendering.
How to judge an alleged engine replacement
Before calling any AI system a game-engine substitute, check whether it provides:
- Persistent world state and save/load.
- Deterministic simulation, physics and collision.
- Editable assets, scenes and gameplay scripts.
- Multiplayer synchronization and authoritative servers.
- Performance across the target hardware.
- Moderation, safety and content controls.
- Commercial rights for inputs and outputs.
- Observability, debugging and reproducible builds.
- Predictable costs at the intended player scale.
- A supported path to distribution and platform certification.
Oasis demonstrated real-time interactive visual generation. The available public evidence does not show that it satisfies this full production checklist.
Verdict: a new rendering layer, not the end of game engines
Sequoia backed the infrastructure that enabled Decart to demonstrate a compelling engine-free approach to generating an interactive world. It did not fund a publicly announced replacement for game engines, and Oasis was not presented as a finished commercial game.
The credible near-term future is hybrid: an engine or custom runtime handles state, input, physics and networking, while generative models create or transform selected visual layers and simulation environments. Decart may become an important component in that stack, especially for real-time media and physical-AI systems. For most game developers today, however, it is better evaluated as an experimental or API-based augmentation than as a complete alternative to Unity, Unreal, Godot or Roblox Studio.
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