Celonis & LeafLabs launch app to decode robot fleets

Celonis and engineering firm LeafLabs have launched an application designed to analyse robot fleet data and connect it with supply chain operational metrics.

Called Robotic Systems Intelligence Manager, the product runs on the Celonis Process Intelligence Platform and targets companies using robots in manufacturing, warehouse automation and logistics. The companies argue that robots are a growing source of operational data that often sits outside standard business reporting and decision-making.

Robot fleets can generate large volumes of telemetry and event data. Celonis cited figures of up to 100 GB per robot per day. The data is often unstructured and underused, particularly when organisations cannot link machine-level signals to broader key performance indicators.

That disconnect can lead to wasted resources, unmitigated risks and slower innovation. The new app aims to structure robot data and present it in a form that operations teams, engineers and executives can use.

Pilot customer

The app was piloted by US-based Pickle Robot Company, which describes itself as a pioneer in Physical AI for supply chain applications. It develops intelligent robotic solutions for customers in logistics and related operations.

Pickle said the pilot delivered a "50% acceleration in core processing development for advanced capabilities that dramatically improve performance for customers using the company's intelligent robotic solutions". The release did not specify the baseline for the comparison, which processes were measured, or the duration of the trial.

Pickle's Chief Technology Officer said the collaboration improved visibility into robotic systems and helped prioritise improvement work.

"With Celonis and LeafLabs, we've gained critical insights into our robotic systems. With this knowledge, we can implement the highest-value opportunities for improvement and unlock tremendous ROI for our customers," said Ariana Eisenstein, CTO, Pickle Robot Company.

Operational focus

Robotic Systems Intelligence Manager converts robot data into what Celonis calls Process Intelligence. It is intended to map robot activity and operational events to business processes such as fulfilment workflows and production tasks.

Celonis and LeafLabs outlined three areas of focus. The first is operational efficiency, including optimising throughput, reducing manual interventions and improving process reliability.

The second is resilience and operational risk, including detecting patterns associated with breakdowns, identifying inconsistent performance and surfacing gaps in compliance.

The third is deployment and scaling, providing engineers and executives with process information to scale robotics from pilot projects to broader production use.

The product positioning reflects a wider issue in industrial automation. Robots and automated systems often sit in operational technology environments with data models and governance separate from finance and enterprise resource planning systems. Many organisations also use multiple robotics vendors and orchestration layers, complicating consistent reporting across sites.

Partner build

LeafLabs worked with Celonis on development. LeafLabs provides engineering services and domain expertise in robotics and related systems, while Celonis contributes its Process Intelligence platform.

Manik Sharma, Head of Supply Chain GTM AI at Celonis, described the product as a way to link robot data to operational context and decision rules.

"From the factory floor and fulfillment centre to the front porch, robots are crucial to delivering the products customers want," Sharma said. "By combining Celonis' platform with LeafLabs' deep domain experience, we provide AI-driven robotics the intelligence needed to execute successfully - connecting robot data with operational context, rules, and models to deliver reliable outcomes at scale."

LeafLabs made a similar case, saying robotics programmes can leave efficiency gains unrealised when telemetry is not connected to business outcomes.

"Too often, robotic telemetry is disconnected from the broader business context, leaving massive efficiency gains and opportunities to scale on the table," said Jami Friedman, Executive Vice President at LeafLabs. "The Robotic Systems Intelligence Manager bridges that gap, connecting what happens in control loops to what matters in business outcomes."

Apps programme

Robotic Systems Intelligence Manager joins the Celonis Platform Apps Program, which includes pre-built applications developed by partners and deployed on the Celonis Process Intelligence Platform. Celonis says the apps are domain-specific and draw on partner industry knowledge.

Celonis markets Process Intelligence as a layer above operational systems that combines process mining, data integration and analysis. In supply chain settings, it targets use cases that link execution data from warehouses, transport networks and manufacturing lines with performance measures used in management reporting.

The new robotics application extends that approach to robot fleet operations, where data volumes are high and data quality can vary across hardware and software stacks. Celonis and LeafLabs said the app is aimed at organisations seeking more consistent oversight as they expand from small deployments to larger fleets.