Self-operating hybrid AIfor secure workflows.
The power
of many.
Aquaduck leverages the full power of your team’s hardware, with its own powerful on‑device AI agent, to bring more work to the edge.
For private workflows
and lower cloud dependency.
Do it allfrom onesystem.
Intelligent workflows need capable infrastructure, but cloud solutions compromise privacy and cost, and today’s on‑device implementations are limited in performance.
Aquaduck is a self‑operating, self‑healing inference layer that transforms devices into a unified AI cluster with their own private on‑device agents, enabling parallelism and routing, while reducing cloud spend.
01 /The power of many
Hybrid AI
for your team.
Route tasks to local models, across team devices, and to the cloud, from one desktop agent.
Start tasks on your device.
Your agent runs workflows on‑device for speed and privacy.
02 /Performance
The runtime for
modern workflows.
Aggregate tokens
per second
AquaduckIsolated deploymentAquaduckPipeline Parallel 2x
Exo LabsIsolated deploymentExo LabsPipeline Parallel 2xLlama‑3.2‑3B. 4x concurrency on comparable machines. Aggregate tokens per second; higher is better. December 2024, September 2026.
How distributed architectures enrich model capabilities
03 /Desktop agent
The digital
worker for
the edge.
An on‑device AI agent that executes workflows with web search and browsing, document analysis, and PowerPoint generation.
04 /Private by default
Air‑gapped deployments
and PII detection for
sensitive workflows.
Your agent notifies you when data contains sensitive PII. Team devices connect over an air‑gapped local network or virtual private cloud.