IN Brief:
- Celonis and LeafLabs have launched Robotic Systems Intelligence Manager.
- The app converts robot telemetry into process intelligence for operations teams.
- Pickle Robot Company is using it to identify improvement opportunities.
Celonis and LeafLabs have launched the Robotic Systems Intelligence Manager, an application intended to convert robotic telemetry into process intelligence that can be managed alongside operational KPIs across manufacturing and warehouse environments.
As robotic fleets expand, the volume of data they produce is rising sharply, and Celonis and LeafLabs estimate it can reach up to 100 GB per robot per day. The problem is less about collection than usability: telemetry is often stored in formats that are difficult to connect to throughput, interventions, reliability, and compliance outcomes, leaving engineering teams and operations leaders with high data volumes and limited actionable context.
Built on the Celonis Process Intelligence Platform, the Robotic Systems Intelligence Manager is designed to transform raw robot data into process intelligence. Celonis said the goal is to increase operational efficiency by optimising throughput, reducing manual interventions, and improving process reliability; improve system resilience by detecting patterns that can lead to costly breakdowns, flagging inconsistent performance, and uncovering gaps in compliance adherence; and reduce time-to-value by giving engineers and executives the process knowledge needed to scale from pilot to production deployment.
Manik Sharma, Head of Supply Chain GTM AI at Celonis, said: “From the factory floor and fulfillment center to the front porch, robots are crucial to delivering the products customers want.” He added: “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’ view is that the missed opportunity is the disconnect between control-loop data and the operational outcomes people are paid to deliver. Jami Friedman, EVP at LeafLabs, said: “Too often, robotic telemetry is disconnected from the broader business context, leaving massive efficiency gains and opportunities to scale on the table.” He added: “The Robotic Systems Intelligence Manager bridges that gap, connecting what happens in control loops to what matters in business outcomes.”
Pickle Robot Company is using the app to analyse its robotic systems and prioritise improvements. Ariana Eisenstein, CTO at Pickle Robot Company, said: “With Celonis and LeafLabs, we’ve gained critical insights into our robotic systems.” She added: “With this knowledge, we can implement the highest-value opportunities for improvement and unlock tremendous ROI for our customers.”
For operations teams, the practical value will sit in whether the tool can make robotics scale less brittle: standardising how performance is measured across different sites, tasks, and equipment, while making exceptions, interventions, and degradation patterns visible early enough to prevent service impact. For engineering teams, the promise is a faster loop between observed behaviour and process changes, without relying on ad hoc dashboards that break when workflows evolve.
