One model, not many copies
A DataPack is the single operational model for a flow, reused by apps, agents, dashboards, and integrations, so everyone works from the same numbers.
Data
One trustworthy model, not a dozen conflicting copies
Your numbers live in copies that never agree: a spreadsheet per report, a field in three systems. Mogno turns each critical flow into a DataPack, one governed operational model that apps, agents, and dashboards all read from.
Access is granted per table and enforced live, isolated to your tenant, and audited, so IT stays in control as the data spreads.
What the data layer gives you
One place for your data, governed as it grows
Most teams keep data in copies that drift apart. Mogno holds it in one layer, so a single model serves every app, agent, and dashboard, with the right store for each job and permissions IT can trust.
Access granted, not copied
Admins grant read or write per table, enforced live on the backend. Pull a grant and access stops at once, even on a token already issued.
The right store for each job
Flexible records, relational models, and large-scale analytics live in one layer, so each need gets the store that fits, with no separate warehouse to run.
Schema by description
Describe the model in plain language and Monica designs it, proposes the change for review, and provisions it on approval, with an ER diagram and version history.
Your data, three ways
From flexible records to large-scale analytics, in one layer
One data layer covers the whole range: schema-free records an app writes on its own, relational models with real keys and constraints, and columnar analytics over millions of rows. No external database to wire up, no warehouse to run.
Tier 1
Flexible records
Schema-free storage per app, with per-record access and the app’s data scope enforced automatically.
Tier 2
Relational DataPacks
Real relational schemas with foreign keys and constraints, catalogued by the platform and granted to apps per table.
Tier 3
Large-scale analytics
Append-only columnar datasets queried by a fast engine, built for ledgers, logs, and drill-downs over millions of rows.
Access you can trust
Access is granted per table, and revoked in an instant
Access is not a copy of the data, it is a live grant. An admin lets an app read or write a specific table, the backend is the source of truth, and the moment a grant is pulled, access stops, even on a token already issued.
Vendors Contracts Invoices
Procurement app Read / write Blocked Read only Blocked
Finance agent Read only Blocked Read / write Blocked
Ops dashboard Read only Blocked Read only Blocked
Grant revoked · access blocked
A revoked grant blocks access at once, even mid-session, and every change is on the audit trail.
How it stays governed
Your data stays isolated, granted, and audited
The same controls that run the platform run its data. Every tenant is isolated, access is granted per table, and every change is on the record.
See the full security storyOn by default
FAQ
What teams ask about data
Do we have to move off our ERP or data warehouse?
No. Your system of record stays in place. Mogno reads from it and operates the flow around it, holding an operational model, a DataPack, that apps and agents work from.
Our data is messy. Do we need to clean it all first?
No. Start from one critical flow and a minimal DataPack, not a broad data project. You model just enough to run a real flow, then expand from there.
How is a DataPack different from a spreadsheet or a table?
A DataPack is a governed operational model with permissions and history, reused across apps, agents, dashboards, and integrations, instead of a copy that drifts out of sync.
How do you keep one app from reading another’s data?
Access is granted per table and enforced live on the backend, scoped to your tenant. Revoking a grant blocks access at once, even on a token already issued.
Can we handle large volumes, like ledgers or logs?
Yes. A columnar analytics tier queries millions of rows without a separate warehouse, while the relational and flexible tiers cover models and app storage.
Do we need a database admin to design schemas?
No. Describe the model in plain language and Monica designs it, proposes the change for review, and provisions it on approval, with an ER diagram and version history.
Get started
Give your operation one set of numbers to trust.
See how a DataPack turns scattered data into one governed model your apps, agents, and dashboards share, built around your environment.