How Mayura Works
Mayura watches the sources you already follow and brings you what changed, without anyone having to ask. This page is the walkthrough: what it reads, what it runs on, and what it does with what it finds.
Weighing this against a cloud setup? Read how cloud AI and edge-first AI compare on cost, sovereignty, and control.
Three Pillars of Mayura
Continuous Intelligence
Work runs on its own and moves between specialists, so what matters reaches you without anyone having to ask. The path from a source to an answer can be reconstructed step by step.
Data Sovereignty
It reads the outside world, your files stay on your machine, and anything that goes out, you send. Cut the connection and the work pointed at local models keeps running.
Flat Economics
One machine, one fixed annual license, and no per-token, per-call, or per-document fees. Run it through the night and the bill is the same as running it once.
How Mayura Is Built
Coordination Layer
Specialists that coordinate
How specialists work together, without a person routing the work between them. Every handoff is written down as it happens, so you can walk back through the steps that produced any finished piece of work, one at a time, to the source it came from.
Work Layer
Models that do the work
The models Mayura runs on are a setting you control: one on your own machine, or an outside service you have connected. Disconnect the outside services and every job pointed at a local model keeps running.
Knowledge Layer
One memory underneath both
Everything Mayura reads lands in one place that both other layers read from and write back to, so what it learned last month is in context this morning. You can see what it holds and remove a source, and system state rebuilds from the stored history.
What This Looks Like in Practice
Day 1
A new install runs against your own sources on day one, not after a data project.
24/7
Runs through the night on the machine in your office, so the morning read is already done.
Flat
One machine, one fixed annual license. Running it harder does not cost more.
Bring Us Your Hardest Workflows
We ship production AI on your hardware, on your terms. Start with a complimentary Opportunity Audit.
Opportunity Audit
A 90-minute working session and a memo with candidate AI workflows ranked by ROI. Complimentary for teams with the budget to act on what it finds.
AI Sprint
One production-ready AI workflow shipped in ~4 weeks. Fixed fee.
Residency
Our flagship. A senior Fractional AI Engineer embedded with your team, 6 to 12 months, renewable.