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DOYNA
EN·RO
K-01Compare

Same AI power.
A fundamentally different deal.

Side by side with the tools you already know — enterprise AI without handing over your data.

Capability
public AI
Doyna
Runs on your infrastructure
Never
Always
Training on your data
Opt-out, eventually
Never
Unified search (email + docs + meetings)
Separate
Built-in
Graph index over your corpus
No
Yes — Neo4j, next to a vector and a relational index
Air-gapped operation
No
Yes
Native Romanian support
Translation layer
Native

Compared on published documentation and vendor pricing pages, checked September 2026. Tell us if something has changed and we will correct it.

What Doyna does differently
Native Romanian + English (not translated)
On-prem or fully air-gapped from one codebase
40+ AI tools in one orchestrator
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The moat

Everyone who could beat Doyna would have to break their own business.

Four capabilities must ship together to win regulated enterprise — in-perimeter, a fused index with entity resolution, an agent that acts, and one API. Every incumbent can build two; the two they can’t are the two that would break their own business.

Has it—PartialCan’t / doesn’t
Perimeter
Graph
Agent
One API
Why they can’t follow
Cloud suite assistants
—
No-egress inference taxes their own Azure meter — they won’t cannibalize the cloud to win one deal.
Cloud enterprise search
—
Multi-tenant cloud connectors ARE the product. In-perimeter is a rebuild — and even then, they only retrieve.
Model vendors
—
—
They sell intelligence by the token, from their cloud. Nothing-leaves is the opposite business model.
Forward-deployed platforms
—
—
Closest on the graph — but they sell a project with a deployed team. We sell something that installs itself.
Doyna
All four ARE the business — not a threat to it.
Perimeter
Runs inside your own walls — on-prem or your cloud.
Graph
Builds a live map of how people, deals and documents connect.
Agent
Does the work end-to-end — not just finds the file.
One API
One connection every other system can call.

Incumbents pull data to their cloud. Regulated enterprises cannot send it — Doyna is pointed the other way.

X-01Next step
  • The same offer as everywhere else on the site: a technical conversation, not a sales call.

Private AI, your way. On hardware you own.

It goes up inside your network in a day, on hardware that stays yours. The same AI everyone else rents, built for the budget you actually have.

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Live in production · On your own hardware · Single-tenant always