Decagon vs Yandex
Relationship
Insights & Reporting and Yandex SpeechSense do comparable work on customer support; 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 7 capabilities — Shares agent orchestration, customer support, data analysis and 1 more.
Ludbee capability tags · from the product recordsShared product type — Both ship application.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 4
Not verified for Yandex · 3
Recorded for Decagon. Yandex’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Decagon · 14
Recorded for Yandex. Decagon’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
Decagon
Application
A/B-testing suite for AI support agents: structured experiments (tone, logic, flows) against live traffic with control groups, statistical-significance testing and gradual rollout.
Dashboards and natural-language querying ('Ask AI') over support data: CSAT/deflection performance tracking, heatmaps, customer-journey visualization and knowledge-base performance.
Analyzes support conversations to detect gaps in a company's help center and auto-generates draft articles, ranked by impact, with monthly updates.
Integrated testing suite (internally called 'Simulations') that validates AI-agent behavior across channels before production deployment.
Always-on monitoring and QA for AI and human agent interactions against custom quality criteria.
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.
No counterpart
Decagon sells these in a stack layer with no product recorded for Yandex yet — nothing on the other side to compare them against.
AI agent
Builds and runs customer-support agents that resolve enquiries over chat, email and voice.
Decagon's chat channel — an AI agent that handles live customer conversations in a web or in-app chat surface.
Decagon's email channel — agents that read and answer customer email threads rather than routing them to a queue.
Decagon's voice channel — an AI agent that answers customer phone calls in place of a hold queue.
Agent platform
Decagon's authoring layer for the rules an AI support agent follows, so non-engineering teams can build, iterate on and scale agents.
An AI partner built into Decagon that helps teams build and improve support agents — distilling best practices from hundreds of Decagon deployments into guidance for the builder, and auto-tuning the agent via "Duet Autopilot," which improves it with every conversation it handles.
Yandex sells these in a stack layer with no product recorded for Decagon yet — nothing on the other side to compare them against.
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.
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.