Build production chatbots faster with context and sentiment routing
EchoAgent is a conversational AI platform that builds and deploys customer-facing chatbots and autonomous agents for support, sales, and in-app guidance. It specializes in maintaining dialogue state across sessions so bots can resume interrupted conversations, pull customer data from CRMs, and escalate to humans with minimal friction. EchoAgent’s key differentiator is a visual flow builder combined with native voice, sentiment detection, and prebuilt enterprise connectors that reduce integration time. The platform serves mid-market and enterprise product, support, and operations teams who need production-grade chatbots. Pricing is accessible with a free tier and Pro plans starting at $49 per seat per month.
EchoAgent is a conversational AI platform created to simplify the deployment of production chatbots and autonomous agents. Born from a team with backgrounds in contact centers and NLP research, EchoAgent positions itself between developer-centric NLU toolkits and heavyweight contact-center suites. Its core value proposition is delivering stateful, context-aware conversations with enterprise-ready controls—so organizations can move from prototype to full-scale support and sales automation without reengineering existing stacks or losing conversation continuity.
EchoAgent’s feature set centers on three practical capabilities that teams use daily. Dynamic context windows reconstruct prior intent and slot values across sessions so the agent can resume interrupted threads and surface relevant history without manual tagging. The visual conversation flow builder enables non-technical product managers to create conditional branches, API calls, timed follow-ups, and run A/B variants side-by-side for conversion optimization. Native voice-to-text and sentiment detection tie into escalation rules: negative sentiment triggers priority routing to a live agent and records sentiment metrics in conversation logs. A developer SDK and prebuilt CRM connectors support automated order lookups, ticket creation, and secure PII redaction at runtime.
EchoAgent offers a tiered pricing model designed to scale with usage. The free tier includes 500 messages per month, one chatbot instance, and basic analytics for pilots. Pro is $49 per seat per month and raises limits to 25,000 messages, two concurrent agents, unlimited visual flows, voice transcripts, and A/B testing capabilities. Business starts at $249 per month and provides SSO, 100,000 messages, priority support, and custom SLA options. Enterprise customers receive usage-based licensing, on-prem or private cloud deployment, dedicated onboarding, API rate guarantees, and volume-based quotes tailored to security and support requirements.
EchoAgent is used by customer support teams, product managers, and operations teams in SaaS, e-commerce, and healthcare to reduce response times and automate routine tasks. A support manager uses EchoAgent to automate Tier-1 triage, cutting average first response time from 12 hours to under 30 minutes through intent classification and automated ticketing. A product manager uses it to prototype purchase flows and run conversational A/B tests that increase checkout completion rates by measurable percentages. Typical deployments combine CRM connectors, webhook integrations, and human fallback routing. Compared to Dialogflow, EchoAgent favors stateful memory and built-in sentiment routing for business users seeking production controls.
EchoAgent's stateful memory resumed interrupted chats perfectly; we cut repeat questions by nearly 40%.
Visual flow builder let our product team prototype a support flow in under 30 minutes, no dev help.
Enterprise CRM connector pulled customer records quickly and handoff to agents was seamless during escalations.