Air-gapped
Offline install and operation. No telemetry, no egress, no external runtime dependency.
Solutions / Where it runs
Built for environments that cannot fail.
Government, industry, robotics and regulated enterprise run on different constraints. The engine is the same; the deployment boundary is not.
Public sector & defence
Sovereign AI, inside the perimeter.
Programmes that cannot depend on a foreign cloud still need modern agentic capability. Dintellinno gives them a runtime they can install, inspect and operate themselves.
- Air-gapped install — no telemetry, no egress, no external runtime.
- EU-native engineering — a supplier in the jurisdiction, not a reseller.
- Procurement-ready evidence — a build manifest and ledger you can hand to review.
Deployment profile
Classified-ready
Data egress0 bytes
Runtime targetx86-64 / ARM64
EvidenceEU AI Act · Art. 12
Industrial automation
Decisions at line speed.
Agents belong next to the telemetry, the PLCs and the MES — not behind a WAN link. The runtime keeps dispatch deterministic and the network boundary intact.
- On-prem by default — deploy beside the line, not in a cloud region.
- Deterministic admission — priority and backpressure before latency collapses.
- OT-safe isolation — per-agent capabilities with an explicit egress policy.
Line-side profile
No WAN dependency
Dispatch≈3 µs in-process
Operation24/7 deterministic
DeploymentBare metal / private
Robotics & edge
Intelligence on the device.
The Rust engine brings the same capability model to ARM64 controllers, drones and autonomous machines — with no cloud in the control loop.
- Small artefact — one static binary under 50 MB.
- Constrained hardware — high density and low energy per workload.
- Same contract — one execution model from server to silicon.
Edge profile
Rust
Artefact< 50 MB
TargetARM64 · bare metal
Cloud callsNone required
Regulated enterprise
Ship the agent. Keep the evidence.
Banks, healthcare and critical infrastructure need production speed and a defensible record in the same release. The ledger is written while the agent works.
- One record per dispatch — agent, tool, verdict, epoch and timestamp.
- Replayable runs — epoch ordering proves the same decisions, in the same order.
- Privacy gates — data-class and egress checks before a call leaves the boundary.
Evidence profile
Audit-ready
GDPRArt. 30 / 32
EU AI ActArt. 12 / 15
ReplayEpoch-ordered
Deployment models
Choose the boundary. Keep the engine.
The runtime is the same in every model. What changes is where the artefact runs and who holds the keys.
Private cloud
Run inside your VPC or tenancy, with the control plane and evidence store under your keys.
Edge
Rust on ARM64 industrial hardware, with local capability checks and a local evidence path.
2–4weeks
From scope to working pilot
Inside your environment
100k
Agents per node
~700 MB RSS
~70%
Lower server cost
2 nodes vs 29
0
Required cloud calls
Air-gapped by default
Your environment, your constraints
Tell us where the agent has to run.
A technical scoping call, built around the deployment boundary and the evidence you need to produce.
EU-native · Armenia-engineered · Air-gapped by default