Sovereign Agent Infrastructure

Run AI Agents Anywhere.
Prove It.

Any agent, any model, any framework — executed on your cloud, your data center, or a laptop on your desk. With a signed receipt for every run.

Outbound-only connectivity
Per-device identity
Auditable execution
Execute on approved devices
How It Works

Four steps. Full sovereignty.

01

Register Devices

Every execution node registers with a cryptographic identity. Outbound-only — no inbound ports required.

02

Enforce Policy

Policy decides what runs, where. Data residency and compliance are enforced, not assumed.

03

Execute Anywhere

Workloads execute on approved devices — cloud, on-prem, or the laptop on your desk.

04

Audit & Prove

Every run produces a signed receipt: device identity, output hash, and timestamps. Cryptographic proof, not logs.

Architecture
ATF Control Plane
Policy · Dispatch · Audit
Cloud
AWS / GCP / Azure
On-Prem
Your data center
Edge
Laptop / GPU / IoT
Execution verified · Device: macbook-pro · Receipt signed
What's Missing Today

AI agents are powerful.
But you don't control where they run.

Most agent frameworks assume cloud-only execution. That means no hardware governance, no device-level boundaries, and no proof of where your workloads actually ran.

Public API Only

Your agents run on someone else's infrastructure with no execution guarantees.

No Device Governance

No policy enforcement over which hardware runs which workloads.

No Boundary Guarantees

Data residency and execution locality are hopes, not enforced constraints.

No Audit Trail

You can't prove where an agent executed or what device processed your data.

Why ATF

What others don't provide.

Every agent framework gives you execution. None of them give you control over where.

Device-Level Execution Routing

Select which physical device runs each workload. Not just "cloud vs. on-prem" — specific machines.

ATF
Policy · Dispatch · Route
DISPATCH → macbook-pro
aws-east-1
us-east-1
dc-rack-04
on-prem
macbook-pro
edge
gpu-node-7
gpu cluster
iot-sensor-3
field

Identity-Bound Audit Receipts

Every execution is cryptographically tied to a device identity, not just logged. Evidence-grade traceability.

Execution Receipt

2026-02-15T14:32:07.482Z
Devicemacbook-pro
Agentresearch-v2
Modelllama-3.2-3b (local)
Duration3.2s · 847 tokens
Output Hashsha256:a8f3c9...e91d2
SignatureDevice identity verified

Outbound-Only Runner Connectivity

Devices dial out securely to ATF. No inbound ports, no exposed attack surface.

ATF
Accepts connections
aws-east-1
:0 inbound
macbook-pro
:0 inbound
gpu-node-7
:0 inbound
✗ NO INBOUND PORTS

Unified Playground Across Devices

Same agent. Same policy. Different hardware. Test and iterate on any registered device from a single interface.

ATF PLAYGROUND
macbook-pro
aws-east-1
gpu-node-7
research-v2
device/macbook-pro/agent/research-v2
$ Running on macbook-pro
> Model: llama-3.2-3b (local)
> Executing tool: web_search
> Tokens: 847 · Latency: 3.2s
Receipt signed by device identity
The Platform

Infrastructure-grade.

Security

Identity & Trust

Every agent carries a cryptographic identity certificate. Zero-trust architecture across every node. Your infrastructure, your perimeter.

Observability

Verifiable Execution

Every state change captured. Signed execution receipts. Agents monitored like humans and legacy systems — not black boxes.

Execution

Policy-Controlled Dispatch

Dispatch across cloud, on-prem, and edge. Policy enforcement decides what runs where. Model-agnostic and framework-agnostic.

Built For

Who this is for.

ATF is infrastructure for teams that need to control where intelligence runs.

Regulated Industries

Keep financial review agents on approved GPU clusters. Run healthcare summarization inside your data center. Data residency enforced, not assumed.

Enterprise IT

Deploy agents inside your perimeter. Run any model under one governance layer, with zero vendor lock-in.

AI Platform Teams

Build and govern agent fleets across your organization's infrastructure.

Data-Sensitive Organizations

Guarantee which geography and which hardware processes your data. Deploy edge inference in regulated field environments.

The Demo

Select device. Run agent. Prove it.

atf agent run research-v2 --device macbook-pro
Dispatching to device: macbook-pro
Model: llama-3.2-3b (local) · Tools: web_search, file_read, code_exec
——————————————————————————————
✓ Execution complete · 3.2s · 847 tokens
✓ Receipt signed by device identity · sha256:a8f3c...e91d2

Control where intelligence runs.

See ATF execute agents across cloud, on-prem, and edge — with cryptographic proof.