IRIS Foundry is a full-stack industrial AI platform that unifies OT, IT, and engineering data into one contextualized knowledge graph, powered by the first purpose-built industrial LLM.
IRIS Foundry is an AWS-certified industrial AI platform that unifies IT, OT, and engineering data to deploy AI-embedded solutions at enterprise scale. It gives manufacturers the building blocks to integrate, contextualize, and govern industrial data, then turn it into predictive, prescriptive, and generative AI that drives measurable operational outcomes.
What it solves
Manufacturers use IRIS Foundry to reduce unscheduled asset downtime, improve process efficiency, accelerate root-cause analysis, and put better decisions in the hands of connected, frontline workers, without ripping out existing systems.
How it works
IRIS Foundry simplifies complex data landscapes with AI-powered P&ID ingestion and asset-historian frameworks. It organizes data into a structured asset hierarchy, maps it into a unified namespace, and builds a dynamic industrial knowledge graph for intuitive navigation and analysis. IRIS Industrial Copilots let any user explore intricate data environments in natural language.
Built for AWS
IRIS Foundry deploys directly into your own AWS tenant as a Kubernetes (EKS) application, keeping data secure within your operational technology environment. As a transactable AWS Marketplace solution, procurement is streamlined on your existing AWS agreement, and purchases can draw down against your AWS commitments, unlocking industrial AI without new budget cycles. Its lightweight architecture spans cloud and edge, with deployment options from SaaS to private cloud.
AI capabilities
Productized generative and predictive AI comes ready to use: purpose-built Industrial LLMs, role-based copilots, and pre-trained domain models tuned for specific manufacturing industries. Add-on agents extend the platform with skills aligned to real industrial use cases, accelerating decisions and empowering operations teams with tools built for the frontline:
Manufacturing Digital Twin Agent
Intelligent Factory Agent
Frontline Worker Agent
Industrial Data Exploration & Investigation Agent
Oil & Gas Operations Agent
Smart Utilities Agent
Energy Generation & Distribution Optimization Agent
Warranty Claims Agent
Platform experience
A low-code, drag-and-drop experience, with seamless integration for programming tools, lets teams build and deploy operator-ready industrial applications fast. Industry-agnostic by design, IRIS Foundry is configurable across process, chemicals, oil & gas, automotive, utilities, energy, and CPG, ensuring compatibility with your OT, IT, and external data ecosystems.
Deploy on AWS, keep your data in your environment, and scale AI across your operations at your own pace.
Highlights
Unified industrial data foundation: connect OT, IT, and engineering data into a single contextualized industrial knowledge graph, using AI-powered P&ID ingestion and 300+ connectors to give manufacturers one trusted source for AI.
Productized industrial AI, ready to use: deploy purpose-built Industrial LLMs, role-based copilots, and predictive, prescriptive, and generative AI agents that cut unscheduled downtime, improve process efficiency, and speed decisions for frontline teams.
Secure, AWS-native deployment: run IRIS Foundry in your own AWS tenant on EKS as a transactable AWS Marketplace solution, keeping data in your OT environment and applying purchases against your AWS commitments.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a contract pricing model based on a single dimension: Units. You commit to a set quantity of Units for your contract term. There are no separate tiers or instance sizes to choose between. Instead, you scale by adjusting how many Units you purchase. This structure lets you match your commitment to the scope of your deployment, whether you connect a single plant or roll out across many sites. Because the platform is modular, you can start with high-value data sources and expand your Unit commitment as your use grows.
Top-of-mind questions for buyers
What does one Unit actually represent for billing on this contract?
The marketplace listing meters your commitment in Units, but the specific mapping of a Unit to connectors, agents, sites, or data volume is not defined in the pricing table or seller materials. Contact the vendor to confirm what one Unit covers for your deployment scope.
How does my Unit commitment scale as I connect more plants or data sources?
The platform uses a modular architecture. You can connect high-value data sources first, then expand across sites over time. As your deployment grows, you adjust the number of Units in your contract. Scaling happens by changing your committed Unit quantity, not by switching tiers or instance sizes.
Does the contract cover edge, hybrid, and cloud deployments under the same Units?
The platform supports edge, hybrid, and cloud deployments natively, with models running at the machine or in the cloud. The pricing table bills all usage through Units and does not separate deployment types. Whether topology changes affect your Unit count is not specified, so confirm this with the vendor.
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