Apple vs Decart
Relationship
Image Playground and Delulu (by Decart) both serve buyers who need to create images and video; smaller scale (private).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 7 capabilities — Shares image editing, model inference and text generation.
Ludbee capability tags · from the product recordsShared product type — Both ship application.
Ludbee product recordsSmaller scale — Decart: $4B valuation, against Apple's $4.6T market cap.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Decart · 4
Recorded for Apple. Decart’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Apple · 5
Recorded for Decart. Apple’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Apple
Application
On-device and private-cloud AI features built into iPhone, iPad and Mac, covering writing, images and Siri.
Standalone Apple app that generates original images on-device from text concepts and photos.
Apple's voice assistant, now its own app, handling requests across the operating system and its devices.
Decart
Application
Delulu is Decart's consumer mobile app for AI photo transformation, published on iOS and Android by Decart.AI, Inc. Its store listing describes it as a way to 'Turn any photo into something fun, weird, or just really good-looking, with a single tap', browsing preset styles and creating stickers to share.
Real-time video editing platform that edits and transforms live video at streaming speed, for enterprises, brands, creators and live/streaming/gaming use cases; built on Decart's DOS infrastructure.
No counterpart
Apple sells these in a stack layer with no product recorded for Decart yet — nothing on the other side to compare them against.
Developer tool
Swift API giving third-party developers access to Apple's on-device and Private Cloud Compute foundation models for language understanding, structured output and tool calling.
Decart sells these in a stack layer with no product recorded for Apple yet — nothing on the other side to compare them against.
API service
Interactive world model for Physical AI, generating realistic, controllable real-time simulation environments for training autonomous systems, distributed as an API/SDK product built on Decart's Optimization Stack (DOS) infrastructure.
Infrastructure service
The Decart Optimization Stack (DOS) is Decart's inference and training optimization infrastructure, spanning hardware-aware model design, kernel tooling, proprietary compilers and inference optimization. It is sold to hardware providers and AI teams as engagements covering benchmark optimization, customer-defined kernel and compiler work, cross-workload efficiency gains, and profiler and simulator licensing, and is marketed as hardware-agnostic across GPUs, TPUs, Trainium and AMD accelerators.
Model API
Cogito is Decart's OpenAI-compatible LLM inference API, serving frontier open-weight models including Kimi K2.6, Kimi K2.7 Code, GLM-5.2, Qwen3 235B and GPT-OSS 120B across Trainium, TPU and GPU capacity. A self-serve Standard tier is billed per token, while an ultra-fast reserved tier advertises 1,000+ tokens per second. It is built on Decart's own DOS optimization stack.