Black Forest Labs vs Decart
Relationship
Playground and Delulu (by Decart) do comparable work on image editing; both also serve buyers who need to create images and video; same layer and the same scale band (growth-stage 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 4 capabilities — Shares image editing, model training and video generation.
Ludbee capability tags · from the product recordsShared product type — Both ship application, infrastructure service and model API.
Ludbee product recordsSame scale band — Both growth-stage private.
Ludbee scale bands · from valuation and funding figuresAligned comparison
Capability overlap
Shared · 3
Not verified for Decart · 1
Recorded for Black Forest Labs. Decart’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Black Forest Labs · 5
Recorded for Decart. Black Forest Labs’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
Black Forest Labs
Application
Browser-based no-code playground for experimenting with FLUX's most advanced models -- testing ideas, iterating on prompts, and transforming media -- as a distinct entry point from the production FLUX API.
Infrastructure service
Commercial licensing programme for self-hosting and fine-tuning FLUX open-weight models on the licensee's own infrastructure, sold in named tiers.
Model API
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.
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.
No counterpart
Decart sells these in a stack layer with no product recorded for Black Forest Labs 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.