Agentic Index
Lorikeet vs Robylon AI (2026)
Both run multi step actions across chat, email and voice, and the difference is who the product was built to survive.
Lorikeet is aimed squarely at regulated fintech and healthtech: an Intelligent Graph drives the actions, and Coach applies full quality assurance with guardrails and an audit record as a product feature rather than a plan tier, at roughly 500 dollars a month or about 80 cents per resolution. Robylon is a generalist across ecommerce, SaaS, fintech, logistics, gaming and crypto, enters at 25 dollars a month, and puts humans in the loop through staffed agent seats rather than an automated QA layer. THE DECIDING DETAIL FOR A REGULATED BUYER: on Robylon, audit logs, single sign on and custom data retention are all Enterprise only, and its SOC 2 badge links to a trust centre that could not be retrieved for verification, so a compliance requirement pushes you to a quoted contract and an unverified attestation.
Choose Lorikeet if
- You are regulated and need auditability and QA as product features, not plan tiers.
- Published resolution pricing at roughly 80 cents fits how your finance team buys.
- A specialist that only serves your sector is worth the higher entry price.
Choose Robylon AI if
- You want to start at 25 dollars a month and expand as volume proves out.
- Your channel mix leans on WhatsApp, Instagram and social rather than email and chat.
- Staffed human agents handling escalations matters more than automated QA scoring.
| At a glance | Lorikeet | Robylon AI |
|---|---|---|
| Category | Customer support agent | Customer support agent |
| Entry price | ~$0.80/resolution (Scale: 48k/$48k yr) | $25/mo |
| Free / trial | — | Starter, free forever, 300 credits a month, chat channel only |
| Pricing confidence | public partial | public exact |
| Feature | L Lorikeet |
R Robylon AI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Partial | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | L Lorikeet |
R Robylon AI |
|---|---|---|
|
Entry price Lowest public entry point |
~$0.80/resolution (Scale: 48k/$48k yr) | $25/mo |
|
Pricing confidence How public the numbers are |
Public, partial | Public, exact |
|
Billing Primary billing axis |
resolutions | AI credits consumed per message, with optional human agent seats billed separately |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Mixed |
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