AI-native software for IT, learning, and schools.
One brand, one philosophy, three products — ITops, LMS, and SMS. In every one, the agent classifies, drafts, and cites its sources — and your team signs off on every action.
free workspace · no credit card · bring your own LLM key
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One brand. Three products.
Each Lumzi product is the system of record for its world — IT, learning, or schools — and each is built on the same AI-native platform, the same human-in-the-loop philosophy, and the same brand. Adopt one; the next feels familiar on day one.
An AI co-pilot for IT operations.
Agentic ITSM + ITAM on one data model — tickets, assets, contracts, licenses, and people, with an agent that triages and drafts while your team signs off.
for IT teams, internal helpdesks, and MSPs
An AI-native learning platform.
Author courses, run a modern learner experience, and let agents draft courses, tutor with cited sources, and propose grades — your instructors stay in control.
for training providers, academies, and internal L&D
AI-native school management.
One system for students, academics, fees, attendance, and parent/teacher communication — India-first, DPDP-compliant, with AI that drafts and a human who decides.
for schools and school groups (India-first)
The agent drafts.
Your team decides.
Not a chatbot bolted onto a form, and not autonomy without oversight. Across every product the agent runs inside the workflow — and nothing leaves the queue without a human signing off.
A ticket, a student submission, a parent enquiry — captured from web, email, or chat.
Pre-classified, drafted, and grounded — every suggestion carries the source it came from.
Accept, edit, or reject. The audit log captures every decision — AI’s and human’s alike.
01 · Classify
Every new item — a ticket, a submission, an enquiry — lands pre-tagged with type, priority, and owner. Your team accepts or adjusts in a click.
02 · Suggest
The agent surfaces the matching article, similar past resolutions, and a draft — and shows the exact source it used (Provenance). A human reviews and sends.
03 · Learn
Every resolved item teaches the agent. It drafts new knowledge when a pattern recurs; your team publishes. Nothing high-stakes is ever auto-finalized.
Three products, one foundation.
Tenancy, the agent runtime, security, and the design system are built once and shared — so every product is enterprise-ready out of the box, and consistent to learn and to trust.
Multi-tenant by design
One pooled database per product, every row tenant-scoped, isolated by Postgres row-level security — proven by a cross-tenant test that fails closed.
Bring your own AI key
AI is opt-in per tenant. Your usage bills to your own LLM key with zero markup — and every product is fully functional with AI off.
Provenance on every artifact
The signature iris underline + source chip on every AI output. The agent answers from your data, or says it doesn’t know.
Secure & compliant
Encryption at rest for tenant secrets, an audit log on every write, server-side RBAC, and GDPR / DPDP data-subject controls.
White-label brand
Re-skin the product colour to a tenant’s brand with one accessible token swap — the iris AI colour stays locked line-wide.
Portable & scalable
Built on a portable app shell with adapters for payments, AI, email, and storage — never hard-wired to a single vendor.
Built for teams tired of stitching tools together.
“We started with one Lumzi product and added a second. The agent already understood how we work — same login, same patterns, same human-in-the-loop. It reads from one data model, not three.”
Pick a product. Start free.
Spin up a workspace, wire your LLM key, and watch the agent draft its first suggestion — all before lunch.
free workspace · no credit card · cancel any time