Decagon vs Luran

Decagon is a conversational AI platform for building, optimizing, and scaling customer experience agents. It brings chat, voice, and email into a shared intelligence layer, and its supported channels also include SMS and WhatsApp. Teams can define agent workflows in natural language through Agent Operating Procedures. Tools for simulated conversations, unit testing, versioning, experimentation, analytics, observability, and ongoing conversation review support agent development and monitoring. Duet analyzes customer conversations to find workflow gaps and generate, test, and refine procedures. Connectors, APIs, MCP support, and custom tools connect agents with data, actions, and escalations; SIP trunking supports voice connections. Listed integrations include Salesforce, Intercom, Zendesk, Confluence, Contentful, Kustomer, Amazon Connect, and RingCentral. Decagon also lists workflow actions, human handoff, multilingual support, and API access. Security features include AES-256 storage and backup encryption, TLS 1.2 or higher in transit, and zero data retention with AI providers. The paid platform runs on the web and through an API, with pricing available on request.

Luran is a web-based AI service agent for business conversations, automated routing, and workflow automation. It can use documents, FAQs, PDFs, policies, product notes, and URLs as knowledge sources. Customers can interact through a website chat widget or hosted business page, while teams work in the Luran inbox and Channels feed. Conversations can be handed to a human. Luran offers Trial, Lite, Professional, Growth, and Enterprise plans, with no free plan and no listed prices. Trial includes two knowledge sources, 10 MB storage, 200 conversations per month, one team member, one flow, and 100 automation executions monthly. Lite, Professional, and Growth increase those limits progressively; Growth allows 100 sources, 500 MB, 25,000 conversations, 20 team members, 25 flows, and 25,000 executions. Enterprise provides unlimited knowledge sources, storage, team members, and flows, with custom automation executions.