Decart vs Runway
Relationship
Delulu (by Decart) and Runway 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 8 capabilities — Shares image editing, model training and video generation.
Ludbee capability tags · from the product recordsShared product type — Both ship application 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 Runway · 5
Recorded for Decart. Runway’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Decart · 6
Recorded for Runway. Decart’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
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.
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.
Runway
Application
Real-time conversational video avatars made from a single image, for education, customer support, training simulation and gaming use cases; integrates via React SDK, LiveKit Agents or an embeddable widget.
Node-based pipeline builder for chaining multiple Runway generative models and LLM steps into reusable, no-code creative workflows.
Model API
Hosted API for video, image and audio generation models from Runway and partner labs, billed per generation.
No counterpart
Decart sells these in a stack layer with no product recorded for Runway 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.
Runway sells these in a stack layer with no product recorded for Decart yet — nothing on the other side to compare them against.
AI agent
AI marketing agent that generates complete ad campaigns (TikTok, Instagram, etc.), analyzes performance, runs A/B tests and auto-formats creative for different platforms and markets.
Developer tool
Reusable Dev API configuration that automatically selects the best generative model for a request based on configured cost/latency/quality preferences; not separately billed beyond underlying model usage.
Commercial licensing of Runway's video model weights, checkpoints and training scripts for self-hosted, on-premises or air-gapped fine-tuning and deployment, with forward-deployed researcher support.
Robot
Robot-policy platform built on GWM-1 (General World Model): policy inference from camera observations, offline policy evaluation via simulation, synthetic data generation, and video-model licensing for custom policy training.