CortexaPro AI vs Lunen.ai

CortexaPro AI and Lunen.ai are both ai agent apps tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

CortexaPro AI

The platform covers two distinct audiences: enterprise teams wiring agents into CRM, ERP, HR, and ITSM pipelines, and individual users who want multi-model chat plus life tools in a single interface. The enterprise side offers an agent builder with custom logic, memory, and decision layers, plus role-based access controls and audit logs — the table stakes for any org that will face a compliance review. The Cortexa Launchpad marketplace lets you hand a screenshot or API spec to a purpose-built agent and get production-ready code or UI back. The credit-metering model means costs are trackable, but teams running high-volume pipelines will hit the ceiling of a credit allocation faster than the pricing page suggests.

Lunen.ai

A subject-matter expert describes what they want in plain language; Lunen drafts a structured execution plan with named tools, scoped data, and a schedule — no canvas, no YAML. Every MCP tool connection becomes a per-tool policy decision: allow it to run unattended, or pause for a human sign-off before each call. User actions and agent actions land in the same audit log, which means security reviews have a single trail to pull. The ceiling appears when teams need conditional branching between agent steps — the plain-language plan model does not surface that logic visibly, so complex multi-step dependencies require workarounds the interface does not directly support.

Attribute	CortexaPro AI	Lunen.ai
Pricing	Paid	Paid
Price	$5/mo - $95/mo	—
Free trial	No	No
Open source	No	No
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	Web (SaaS)	Cloud
Released	—	2026
Pros	Agents connect to existing CRM, ERP, ITSM, and HR systems without replacing them, so teams avoid a migration project just to get automation running. Role-based access controls with audit logs and execution tracking on every request, which means compliance reviews have a paper trail rather than a gap where the AI ran. Purpose-built Launchpad agents with scoped inputs and outputs — Screenshot→Component, API Spec→Backend — so developers get production-ready code without writing prompts from scratch each time. Multi-region deployment across four regions with localized compliance handling, so organizations operating across regulatory jurisdictions do not have to build a separate data-routing layer. Credit metering on all agent runs gives finance and engineering a single number to audit, avoiding the surprise overages that come with per-seat or unlimited-call models.	Plain-language agent creation produces a structured execution plan without drag-and-drop builders or YAML, so non-technical staff can define agents that IT can actually review and approve rather than shadow-deploying on personal accounts. Per-tool allow/approve toggles apply to every agent and every ad-hoc run from a single policy screen, which means a CRM write permission cannot accidentally slip through on a one-off run that bypasses the standing policy. User actions and agent actions land in the same audit log with full input visibility per event, so compliance teams pull a single trail instead of reconciling agent logs against user logs during a review. MCP server support means the policy and audit framework extends to any tool with an MCP integration, not just the named connectors — reducing the risk that a new integration creates an ungoverned side channel. BYOC deployment keeps production data inside the organization's own infrastructure, which means data residency requirements do not force a choice between governance tooling and compliance posture.
Cons	No self-hosted option exists — the platform is cloud-only. Any org under a hard data-residency or air-gap requirement hits this wall before a single agent is built, and those teams move to a self-hostable alternative like Dify or n8n rather than negotiate a carve-out. Credit-metered billing means high-volume production pipelines — document generation or approval workflows running at enterprise scale — exhaust credit allocations before the billing cycle ends. Teams running batch workloads report needing paid upgrades to maintain throughput, which changes the economics that the free tier implied. The platform bundles enterprise orchestration and consumer life tools under one product surface. Engineering leads evaluating the agent builder for production deployments have no clean way to separate the roadmap priorities of a B2B workflow platform from those of a consumer chat app — product direction risk that a pure-play enterprise tool does not carry.	The plain-language plan model has no visible mechanism for conditional branching between steps — if an agent needs to take different paths depending on what a prior step returned, the interface gives no way to express or inspect that logic, and teams handling multi-step decision trees will route around Lunen with external orchestration, reintroducing the two-system problem. There is no free tier; access is gated behind a paid plan or an enterprise contact-sales path, which means teams that want to evaluate the governance model against a real production workflow before committing budget have no low-friction entry point — the evaluation friction alone pushes some teams toward open-source alternatives where they can self-host and test without a contract. The tool set is limited to named connectors plus MCP servers; organizations running internal tooling without MCP support face a build-your-own integration problem that sits outside the governed plane Lunen provides, leaving those tool calls unlogged and unapproved.

Bottom line

Only CortexaPro AI exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between CortexaPro AI and Lunen.ai?

CortexaPro AI is Paid, while Lunen.ai is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is CortexaPro AI better than Lunen.ai?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.