Decagon vs Lorikeet

A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.

Short answer: choose Decagon if you want enterprise ai agents that resolve customer support end to end (Supervised agent, enterprise); choose Lorikeet if you want ai customer support concierge for complex, regulated companies (Supervised agent, usage).

DecagonLorikeet
What it isEnterprise AI agents that resolve customer support end to endAI customer support concierge for complex, regulated companies
Typeagentplatform
AutonomySupervised agentSupervised agent
Pricingenterpriseusage · $1,500/mo (Start, billed annually)
Best forenterprise, mid-marketmid-market, enterprise
Deploymentsaas, apisaas, api
Modalitiestext, voice, emailtext, email, voice, api
Modelsmodel-agnosticmodel-agnostic
Protocolsfunction-calling, rest-apirest-api
IntegrationsZendesk, Salesforce, Intercom, SlackZendesk, Intercom, Salesforce, HubSpot, Front, Stripe
Capabilities3 documented4 documented

Decagon

  • +High autonomous resolution on common request types
  • +True omnichannel: chat, email, and voice
  • +Well funded and rapidly growing, low vendor-risk for enterprises
  • -Enterprise-only with no public self-serve pricing
  • -Aimed at high-volume brands; overkill for very small teams
Full Decagon profile

Lorikeet

  • +Built for complex, action-taking, regulated support with deterministic workflows and an audit trail
  • +Outcome-based pricing aligns incentives: pay per resolved ticket, no per-seat fees
  • +Layers onto existing Zendesk/Intercom with strong fintech and healthtech logos
  • -Thin public technical transparency: docs are gated and the underlying model and protocol stack are undisclosed
  • -Up-market focus, a $1,500/mo entry, and implementation complexity make it a poor SMB fit
Full Lorikeet profile

Which should you choose?

Decagon is enterprise ai agents that resolve customer support end to end, best for enterprise, mid-market. Lorikeet is ai customer support concierge for complex, regulated companies, best for mid-market, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.