Amazon vs Decart
Relationship
Cogito and Amazon Bedrock both serve buyers who need to build on a hosted model API and serve a model in production; larger scale (public).
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 model hosting, model inference and model training.
Ludbee capability tags · from the product recordsShared product type — Both ship API service, application and model API.
Ludbee product recordsLarger scale — Amazon: $2.8T market cap, against Decart's $4B valuation.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Decart · 20
Recorded for Amazon. Decart’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Amazon · 5
Recorded for Decart. Amazon’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
Amazon
Application
Amazon's generative-AI Alexa: a conversational assistant across Echo devices and the Alexa app that handles multi-step requests, remembers context and acts on behalf of the user.
API service
HIPAA-eligible service that transcribes patient-clinician conversations and generates preliminary clinical documentation with evidence mapping back to the transcript.
Natural-language-processing service that extracts key phrases, sentiment, entities, document classification and PII redaction from text.
A managed AWS service for building voice and text conversational bots, built on the same technology as Alexa.
Recommendation engine trained on user-interaction data to deliver real-time personalized recommendations across web, app and marketing channels.
A managed AWS API that converts text into synthesized speech across more than 40 languages and voice styles.
A managed AWS API for image and video analysis, including object and face detection, text extraction from images and content moderation.
A managed AWS API that extracts text, handwriting, forms and tables from scanned documents.
A managed AWS API that converts speech to text using an automatic speech recognition model.
Neural machine translation service for batch and real-time cross-lingual text translation with brand-terminology customization.
Model API
AWS service that serves models from several providers behind one API, with tooling for agents and evaluation.
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.
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
Amazon sells these in a stack layer with no product recorded for Decart yet — nothing on the other side to compare them against.
Agent platform
Agentic AI for healthcare providers and health-tech developers: patient verification, appointment management, ambient clinical documentation, patient insights and medical coding, delivered inside Amazon Connect Customer for patient engagement and via an SDK at the point of care.
An AWS platform for building and running AI agents that automate browser-based UI workflows, billed per agent-hour of active work.
AWS's subscription AI work assistant combining chat-based research, business-intelligence dashboards and workflow automation, positioned as the successor to Amazon Q Business.
Developer tool
An AWS coding assistant that generates, reviews, tests and autonomously modifies code inside IDEs and the CLI.
Agentic AI development platform (IDE, CLI, web, mobile) that turns prompts into executable specs, validates code with property-based testing and runs parallel agents across large codebases.
Platform
Agentic-AI enterprise IT transformation workbench that accelerates cloud migration, application modernization (mainframe, Windows, custom code) and continuous tech-debt reduction.
Production AI-agent operational platform (framework- and model-agnostic) providing security controls, tool integration, debugging and evaluation for deployed agents.
Cloud contact-centre service, formerly simply 'Amazon Connect', now positioned as an agentic-AI customer-experience solution: AI agents and intelligent routing across voice, chat, email, SMS, web and WhatsApp, designed on a no-code canvas, with real-time performance tracking for agents and supervisors.
AWS's unified platform for building, training and deploying machine learning and generative AI models.
Data service
A managed AWS enterprise search service that answers natural-language queries and powers retrieval-augmented generation over indexed content.
Hardware
AWS's custom silicon for machine learning inference, purchased via Amazon EC2 Inf1 and Inf2 instances rather than as a standalone chip.
Amazon's own training accelerator, rented by the hour inside EC2 instances rather than sold as a part.
Decart sells these in a stack layer with no product recorded for Amazon 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.