Cadenya vs Sellio: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Cadenya and Sellio — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Cadenya
Cadenya
A managed agent runtime that layers your tools, agents and objectives so teams can test agent behavior safely and iterate fast.
Key features
- Unified Tool Layer: Connect MCP servers, OpenAPI specs and existing endpoints once, and expose them to every agent through a single managed interface.
- Model-Agnostic Variations: Set a default model and run canary variations on other providers side by side to compare behaviors before promoting a change.
- Progressive Tool Discovery: Tool schemas stay out of the context window until an agent asks for them, with configurable max tools per search, search hints and a rerank threshold, so every request gets smaller.
- Live Token Metering: Track cost as it accrues across loops, active variations, memory entries and widgets, so usage is visible rather than discovered on the invoice.
- Webhooks and SSE Streaming: Push agent events — assistant messages, tool results, approval requests, sub-agent spawns, compaction, timeouts — into your own apps in real time.
- Memory Layers: Attach stored documents such as playbooks and policy sets to an agent so its guidance persists across objectives.
- Outcome Feedback Scoring: Collect scored comments on each objective, attributed to the variation and model that produced it, to see which behaviors actually work.
- Embeddable Widgets: Drop an agent experience into any frontend as a widget rather than building the conversational surface yourself.
Best for
- Operational Exception Handling: Run an agent that detects stalled shipments or orders and reroutes them through your dispatch API within policy.
- Safe Model Migration: Evaluate a new frontier model as a canary variation against live objectives before switching the default.
- Wrapping Existing APIs: Turn internal OpenAPI endpoints into agent-callable tools without rewriting the services behind them.
- Embedding Agent Chat in a Product: Ship a conversational agent surface into an existing frontend using widgets instead of building it in-house.
- Cost Control at Scale: Use progressive discovery and live metering to keep context size and per-loop cost down as agent traffic grows.
- Agent Quality Review: Compare scored feedback across variations to understand which prompt or model changes improved real outcomes.
Sellio
Sellio
Sellio is an AI customer support platform that unifies live chat, WhatsApp, Instagram, Telegram and email in one shared inbox with optional AI agents.
Key features
- Shared Inbox: One inbox for website chat, WhatsApp, Instagram, Telegram and email, keeping every reply, note and handoff in a single thread.
- Live Chat Widget: Embed a brand-matched chat widget on any site with one snippet and capture visitor context up front.
- AI Support Agent: Train an agent on your site, docs and FAQs so it answers first on website chat and hands off to a teammate without losing context.
- Workflow Automations: Build routing rules, chat triggers and task automations to assign and escalate conversations automatically.
- Ticketing: Turn a conversation into a ticket, assign it and keep the full history as work continues.
- Support Analytics: Track volume, response time, CSAT, automation and AI resolution rates, with scheduled reports on higher plans.
- Voice Replies: Let the AI agent answer with a custom voice inside the website widget on the Plus plan.
- Cost Control for AI: Included monthly AI credits with optional top-ups so teams decide when and how much to spend on AI.
Best for
- Ecommerce Support: Run live chat on a Shopify store in the same inbox as WhatsApp, Instagram and email.
- Hospitality Front Desk: Handle guest messages from WhatsApp, Instagram and website chat in one inbox for front desk and ops.
- SaaS Customer Success: Offer website chat first with other channels alongside it for a single team inbox.
- Agency Client Support: Give an agency team a shared inbox to assign, note and resolve client conversations together.
- AI-First First Response: Deploy an AI agent to answer common questions and escalate complex ones to humans.
- Help Desk Ticketing: Raise work from a customer conversation, assign it and keep history for follow-up.