Decart vs Yandex
Relationship
Delulu (by Decart) and Alice AI both serve buyers who need to create images and video; Yandex's scale not recorded.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
4 of 8 capabilities — Shares model hosting, model inference, model training and 1 more.
Ludbee capability tags · from the product recordsShared product type — Both ship API service and application.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 4
Not verified for Yandex · 4
Recorded for Decart. Yandex’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Decart · 14
Recorded for Yandex. 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.
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.
Yandex
Application
Yandex's consumer AI assistant and chat product, which answers questions with web search, analyses uploaded files, and generates text and images from Yandex's own generative models.
Speech-analytics service that transcribes and analyses voice and text customer conversations to surface topics, sentiment and service-quality metrics.
API service
Speech recognition and speech synthesis API built on the technology behind the Alice assistant, used for voice assistants, call-centre automation and service-quality monitoring.
Neural machine translation API supporting more than 100 languages, sold as a Yandex Cloud service.
Computer-vision API that recognises and extracts text, tables, handwriting, document fields and licence plates from images and PDFs in 48 languages.
No counterpart
Decart sells these in a stack layer with no product recorded for Yandex yet — nothing on the other side to compare them against.
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.
Yandex sells these in a stack layer with no product recorded for Decart yet — nothing on the other side to compare them against.
Developer tool
Yandex's AI coding assistant for VS Code and JetBrains IDEs, offering completion, chat, code review and an agent mode that carries out development tasks from natural-language instructions.
Platform
Yandex Cloud platform that serves Yandex's generative models (YandexGPT, YandexART, embeddings, classifiers) over an API, with fine-tuning, a model gallery and agent/assistant tooling.
End-to-end managed ML development environment with notebooks, distributed training jobs and one-click model deployment on elastically scaled CPU/GPU resources.