IRIS Foundry — The Industrial AI platform
The industrial AI platform built to act, not just analyze
Most industrial AI stalls at the data layer—fragmented OT, IT, and engineering data that takes months to wrangle before a model runs. IRIS Foundry removes that bottleneck. It connects, contextualizes, and governs your industrial data, then puts it to work through 300+ pre-built agents (IRIS Flows) and a no-code app builder (IRIS Forge)—so predictive models, agents, and copilots go to production in weeks, not quarters.
Most industrial AI dies in the data layer. IRIS Foundry starts there—and goes further
Before IRIS Foundry, 70 to 80% of every AI project went to plumbing—custom integrations, manual data modeling, and weeks of engineering before a single insight surfaced. IRIS Foundry collapses that work into one governed foundation, then layers the agents, apps, and copilots on top. Day-one productivity. Production-grade outcomes.
IRIS Foundry is the industrial data backbone that connects every source—SCADA, historians, MES, ERP, PLCs, P&IDs, edge devices—and transforms raw data into governed, contextualized intelligence. The unified namespace and knowledge graph give every downstream AI application a structured, accurate view of your operations from day one.
Built on open, composable architecture with 100+ pre-built industrial connectors, edge-to-cloud deployment, and enterprise-grade security. IRIS Foundry works alongside your existing systems—no rip-and-replace required. Independently recognized as a leader in Asset Performance Management, Industrial Data Management, Industrial AI Analytics, and Industrial DataOps by key analysts.
The full industrial AI stack—data, agents, and apps in one governed platform
IRIS Foundry, IRIS Flows, and IRIS Forge deliver everything industrial AI needs—built in, not bolted on. Pre-trained models, 300+ industrial agents, a no-code app builder, and an MCP server, all on one governed foundation.
Unified Namespace
A single, real-time source of truth for all industrial data. Connects OT, IT, and engineering sources into one standardized structure — no rigid ISA-95 hierarchies. Every system speaks the same language.
Industrial Cortex (Knowledge Graph)
Asset hierarchies, failure modes, process relationships, and KPIs — connected and contextualized. Makes root cause analysis, fault tracing, and KPI diagnostics navigable.
P&ID ingestion
AI-powered ingestion of piping and instrumentation diagrams transforms static engineering documents into live, queryable data linked to asset models and process flows. A differentiator that generic platforms cannot match.
ML Studio and MLOps
Build, validate, deploy, and monitor AI models in a governed, repeatable workflow. Pre-built engines for predictive maintenance, anomaly detection, process optimization, and forecasting — ready to configure, not build from scratch.
IRIS Forge — prompt-to-production app builder
Plant engineers and operators build and deploy industrial AI applications from natural-language prompts. No data science team. No development ticket. Hours to production. Native Azure deployment and NVIDIA Omniverse integration for real-time 3D digital twin applications.
Open agentic architecture and MCP server
300+ pre-built industrial agents, a low-code flow builder (IRIS Flows), and an MCP server that exposes IRIS Foundry intelligence to Microsoft Teams, M365 Copilot, Claude, Cursor, and any MCP-compatible tool — no custom integration required.
Connect, contextualize, build, act—a clear path to production AI
Connect
100+ prebuilt connectors ingest data from every OT, IT, and engineering source—SCADA, historians, ERP, MES, PLCs, edge devices—in real time or batch. No custom connectors, no manual pipeline builds.
Contextualize
The unified namespace and industrial knowledge graph transform raw data into governed, structured intelligence—with asset hierarchies, ontologies, and process relationships built in and maintained automatically.
Build
Deploy pre-built AI models and applications or build your own with IRIS Forge's no-code interface. ML Studio handles model development, validation, and MLOps at scale—from edge to cloud.
Act
Deploy 300+ pre-built agents through IRIS Flows to run workflows, not just inform them. Modular, composable architecture rolls across sites—edge, hybrid, or cloud—without starting over.
Six things you get on day one — that every alternative asks you to build
IRIS Foundry was purpose-built for industrial operations and ships these capabilities as part of the platform. Every alternative — horizontal AI platforms, generic agentic frameworks, build-your-own — asks you to build, stitch together, or buy them.
Industrial LLM — purpose-built for operations
WHAT ALTERNATIVES REQUIRE
300+ pre-built agents — production-ready on day one
WHAT ALTERNATIVES REQUIRE
Governed autonomy — three modes to choose from
WHAT ALTERNATIVES REQUIRE
Edge-to-cloud AI — intelligence where the asset lives
WHAT ALTERNATIVES REQUIRE
No-code for the frontline — IRIS Forge
WHAT ALTERNATIVES REQUIRE
Open, not siloed — works with what you have
WHAT ALTERNATIVES REQUIRE
Production scale, in production environments—not pilot decks
6.7T
Asset data points processed annually. 80,000+ assets, 3 PB of industrial data, every year.
12 weeks
Typical time to first production value. Versus 12–24 months for build-your-own approaches.
Trusted by industrial leaders across 1,000+ plants
IRIS Foundry in production—across energy, manufacturing, food and beverage, and industrial gases.
A culture of innovation and efficiency — Novelis
Novelis, the world's largest flat-rolled aluminum manufacturer, moved from preventive to predictive maintenance with SymphonyAI's Predictive Asset Intelligence, built on IRIS Foundry. Spanning a mix of ERP systems, historians, and equipment generations from state-of-the-art to 1960s legacy. The result: dramatically reduced unplanned downtime across multiple facilities, predictive insights embedded into daily workflows, and a clear path toward Novelis's 'plant of the future' vision.
Read the case studyMulti-site
Unplanned downtime reduced across multiple facilities
Preventing unplanned downtime across European plants — Nippon Gases
Nippon Gases needed a scalable AI platform to keep critical assets running across its European plants—and to catch failure modes that vibration and oil analysis alone could not. SymphonyAI's Predictive Asset Intelligence, built on IRIS Foundry, monitors compressors, high-voltage motors, turbines, heat exchangers, and pre-purifiers with real-time prescriptive monitoring and predictive maintenance. Anomalies caught before unplanned stoppages. Reliability program extended company-wide.
Read the case study$3M
Annual savings from avoiding unplanned downtime and production loss
$500K
Gain in production throughput per site per year
100% manufacturing compliance through AI — GSK Biologicals
GSK Biologicals needed to simplify inspections, empower frontline inspectors, and maximize manufacturing compliance across a complex, GxP-regulated environment. Using SymphonyAI's Connected Worker platform, built on IRIS Foundry, the team brought AI-powered workflows into daily operations—replacing manual reporting, Excel-based issue tracking, and endless email chains with guided, auditable digital processes. Complete compliance achieved: every task completed by the right person, at the right time, in the right place.
Read the case study100%
Manufacturing compliance achieved
Questions buyers ask about IRIS Foundry
Straight answers on deployment, integration, and what makes IRIS Foundry different from generic alternatives.
Stop rebuilding the data layer. Start running production AI
Talk to an IRIS Foundry expert and see how fast you can move from fragmented OT/IT data to agents and applications running in production.