OpenInfer for physical economy

You have cameras, sensors, data streams, and machines. Now they can think together.

OpenInfer is software infrastructure for building multi-input agentic AI — reading vision, processing data, reasoning across sources, and acting on hardware you already own.

ConstructionManufacturingWarehousesPhysical AI startupsField operations
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Why now

The physical economy is ready for a leapfrog.

Manufacturing, construction, and warehouse operations generate more data than any software company — cameras and sensors, machines, field reports, and voice. Most of it goes unseen. Humans are still in the loop for decisions that should happen in seconds. Inputs live in silos: vision, documents, machine telemetry, and voice data never talk to each other. Most AI infrastructure runs only in the cloud, on hardware you do not own, with data you cannot control. Companies that close this gap now will operate in a category no legacy process can reach.

What OpenInfer brings

Every input. Any hardware. One inference layer.

Agents read cameras, process documents, reason across sensor streams, and act — with inference running locally, in the cloud, or both, based on what each task needs.

Inference flow

Inputs

Camera
Machine data
Voice
Documents
Sensors

Inference layer

OpenInfer Weave

routes · orchestrates · decides

A shared layer lets each input inform each decision, instead of sending isolated signals through separate systems.

Execution

Local / on-prem

CPU · GPU · edge

OpenInfer OS

Cloud

Burst when needed

OpenInfer OS

4 to 10x more from hardware you own

Connect more devices, serve more customers, and handle more work without buying anything new.

Hours to deploy, not months

Bring a workflow and get agents running fast, without a dedicated MLOps team.

Local and cloud, together

Keep sensitive data on-site. Use cloud bursts only when task needs them.

Already at work

Validated by partners. Running in production.

Intel

3x prefill throughput on Xeon 6 versus native-AMX llama.cpp, co-published by Intel. Capacity unlocked on CPUs enterprises already own.

Read benchmark study →

VMware

Full enterprise agentic stack demonstrated at VMware Explore: Intel Xeon 6, OpenInfer, and VMware ESXi — high capacity with low MLOps overhead in standard Cloud Foundation deployment.

Facilities

Global commercial real estate

Agent workflows for facilities teams handling scheduling, triage, and coordination across distributed properties at global scale.

Manufacturing

Osirius Group — factory operations

Agents replace manual spreadsheet processes, giving managers faster insight across shifts and sites.

How it works

From workflow to running agent.

  1. 01

    Bring your inputs

    Camera feeds, sensor data, reports, spreadsheets, voice notes, or an existing prototype.

  2. 02

    Build a multi-input agent

    Agents read across input types, reason over them together, and produce action-ready outputs.

  3. 03

    Run it on your infrastructure

    Cloud, hybrid, on-prem, or edge. OpenInfer adjusts to available hardware, including CPU-only environments.

  4. 04

    Deploy and scale

    Go from pilot to repeatable deployment. Add agents, inputs, and sites as you grow.

Platform capabilities

What you can build today.

  • ›Multi-input agents for vision, documents, sensor streams, and voice
  • ›Camera and computer vision analysis for live feeds, inspection, and anomaly detection
  • ›Deep analysis across heterogeneous data sources
  • ›Reports, alerts, and decision generation
  • ›Multi-agent collaboration across a site or fleet
  • ›Deployment in cloud, on-prem, edge, and air-gapped environments
  • ›CPU-friendly workloads on Intel Xeon and commodity CPUs
  • ›APIs for vertical physical-economy applications

Get started

Bring your operation. We will build the agent layer.

Start with a workflow, a dataset, or a problem your team still solves manually — whether you run a factory floor, construction site, warehouse, or a new physical AI business.

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