SymphonyAI has introduced a new suite of industrial AI applications designed specifically for packaging-intensive food and beverage manufacturing environments. The launch marks a major expansion of its IRIS Foundry platform, with the SymphonyAI packaging AI apps built to address the operational complexity of high-speed CPG production.
The applications are designed for environments where packaging lines operate at hundreds of units per minute and small variations can quickly affect yield, quality, and uptime. Rather than relying on general manufacturing analytics, the new tools are tailored to challenges such as micro-stoppages, thermal drift, frequent changeovers, CIP and SIP cycles, robotics, and materials flow. The platform combines SymphonyAI’s industrial domain models with Microsoft Azure’s cloud infrastructure to enable real-time decision support.
The new applications cover areas including optimization of cleaning processes to reduce downtime and energy use, AI-driven analysis of filling, seaming, and line performance, and digital twin simulations for brewing, canning, processing, and packaging operations. Vision-based AI tools monitor packaging quality and seaming integrity, while predictive maintenance models assess equipment health across fillers, packers, conveyors, and compressors. Additional capabilities include thermal process stability, intelligent intralogistics, robotics orchestration, and augmented-reality support for operators and maintenance teams.
The platform is built using IRIS Forge and integrates Azure services such as Kubernetes, Azure IoT Operations, Azure Data Lake, and Azure Edge Runtime. This allows data to be processed close to production lines for low-latency responses, while supporting deployment from single facilities to global multi-site operations. Security is handled through Azure Active Directory and Azure Key Vault to protect proprietary manufacturing data.
Beyond production systems, the applications integrate with Microsoft Teams and Microsoft 365 Copilot, allowing operators and managers to interact with live production data, receive alerts, and collaborate on root-cause analysis within their existing workflows. According to the company, this approach is intended to move AI from pilot projects into day-to-day operational use.
“CPG plants operate in some of the fastest, most constrained environments in industrial manufacturing,” said Prateek Kathpal, President of Industrial, SymphonyAI. “These applications were engineered for that reality. They combine deep domain models, causal reasoning, and line-level intelligence to detect drift earlier, understand true root cause faster, and guide teams to corrective action before throughput, quality, or yield fall out of spec. This is industrial AI built the way Food and Beverage actually runs—at line speed.”
“The next phase of industrial AI is about connecting intelligence across the full plant-to-shelf lifecycle,” said Kumar Abhimanyu, SVP of Strategic Partnerships, SymphonyAI. “With IRIS Foundry built natively on Microsoft Foundry, we’re enabling Agentic AI systems that don’t just analyze production data, but actively guide decisions and actions across manufacturing, supply chain, and enterprise operations. This is how manufacturers move beyond pilots to measurable Return on Intelligence turning operational insight into sustained margin impact at scale.”
“Manufacturers are shifting from experimentation to AI systems that deliver measurable Return on Intelligence,” said Keith Mercier, Vice President, Worldwide Retail and Consumer Goods Industries, Microsoft Corp. “SymphonyAI’s new CPG applications, powered by Microsoft Azure AI, embody that shift. They apply AI directly to the operational cycles of beverage and food production—unlocking rapid margin multipliers through earlier insight, faster decisions, and more resilient operations.”
The SymphonyAI packaging AI apps will be showcased at NRF 2026, where attendees can view demonstrations at the SymphonyAI booth and within Microsoft’s Return on Intelligence exhibit.
