Handles repetitive queries end-to-end.
Auth issues, billing questions, refunds, account changes, feature requests — Luna researches, drafts, gets the action done, and follows up. Works in any language the customer wrote in.
Luna is the AI customer-support agent that handles email, Slack, chat and API end-to-end — in any language. Ships with memory, full observability, and human-in-the-loop control. Whitelabel it as your own.
Classified · AUTH · URGENT · 5 min ETA
SSO certificate expired May 11. ACS URL mismatch after renewal is the likely root cause.
Luna replied with three checks + workaround.
Not a chatbot that pings a human at the first sign of friction. Luna handles the full lifecycle of a customer conversation — research, resolve, follow up, close — and escalates only when it should.
Auth issues, billing questions, refunds, account changes, feature requests — Luna researches, drafts, gets the action done, and follows up. Works in any language the customer wrote in.
Luna writes back when it's confident, pauses when it isn't. Refunds over a threshold, security-sensitive actions, ambiguous tone — it asks a human, with full context, instead of guessing.
Each resolution writes back to Luna's reflective memory — episodic facts, semantic policies, customer preferences. Yesterday's edge case is today's instinct.
A chatbot answers one message at a time and forgets you the moment it's done. Luna is a whole reasoning system — it perceives, remembers, decides, acts in your tools, and gets sharper every time. Here's the difference.
The result is an agent you can run in production — not a demo that falls apart on the second turn. Every Luna deployment ships with the same guardrails on day one.
Every tool call, every prompt, every retry — sealed in an append-only log. Replay any conversation. Audit any decision. Nothing happens silently.
API keys, tokens and connection strings live in a per-deployment vault. AES-256-GCM at rest. Per-tenant scope. Never logged.
Each conversation writes back what was learned. Luna accumulates operating knowledge, not just transcripts.
When Luna isn't sure, it pauses and asks. No autonomous guesswork on production work.
Failures surface immediately, with the full context that caused them. You see every retry, every backoff, every fallback path.
Every tenant's data, memory and keys are walled off. A privacy classifier gates anything shared — and defaults to tenant-only, always.
After repeated failures Luna locks the agent — no token burn, no degraded autonomous guessing. It waits for a human, not a retry storm.
Drop in your logo, fonts and colours. Wire it to your Slack, your inbox, your help centre. Your customers see your product — not ours. Luna runs underneath, invisibly.
Configure once. Wire your channels and tools. Ship it from the hub. The framework handles the plumbing so your team can focus on the part that actually matters — the behaviour, the brand, the resolution rate.
Brand, tone, channels, tools, knowledge sources. Inherit secrets and observability from the core.
Push to the hub. Luna provisions an isolated runtime — separate vault, memory store, event log — under your branded subdomain.
Watch every conversation in the hub. Inspect every decision. Edit memory inline. Pause when you need to.
Most AI tools are wrappers around a single model with a single prompt. Luna ships agents you can actually trust in production — not demos that fall apart on the second turn.
Every plan includes the full Luna core: vault, memory, observability, HITL, whitelabel. You only pay for conversations actually handled.
For small teams testing Luna on a single channel.
For teams running Luna in production across the channels their customers use.
Private deployment, custom retention, dedicated support and compliance alignment.
Luna is in invite-only beta. We're working with a small group of teams running production AI support — apply for access and we'll get back within a day.