At Manifest 2026 in Las Vegas, Destro AI revealed its Agentic AI Brain, introducing new coordination methods for robots and humans in complex work environments. As physical operations become increasingly automated, many businesses still encounter limitations due to disconnected decision-making between robotic systems and human teams. Destro AI positions its platform as a solution, bringing both groups into a single adaptive system. The company demonstrates its technology in live production deployments, and early users report noticeable improvements in workflow efficiency and reduced idle time. With the industry facing bottlenecks from fragmented automation, the arrival of such centralized intelligence draws significant interest from logistics and retail operators aiming for agile collaboration.
Previous coverage around similar orchestration technologies focused heavily on robotic autonomy but often overlooked seamless integration with human roles. Earlier efforts by other providers centered mainly on either hardware advancements or isolated robotic controls, leading to operational silos and reduced scalability. Destro AI’s platform explicitly targets the gap between local robot intelligence and centralized, system-wide reasoning. Unlike older solutions, which required operators to maintain separate planning tools and manual exception management, Destro AI now proposes a unified interface that flexibly assigns duties between robots and people. This strategy addresses longstanding challenges encountered by companies handling unpredictable physical workflows.
How Does Agentic AI Brain Coordinate Robots and Humans?
Destro AI states that its Agentic AI Brain acts as a shared intelligence layer, capable of assessing real-time conditions and dynamically directing both robotic agents and human workers. By combining off-robot decision-making with direct on-robot execution, the platform continuously adapts to changes in logistics, prioritization, and coordination. According to company founder and CEO Manthan Pawar, the system is designed to operate above specific hardware types or predefined workflows. He commented,
“Robots today are smart locally, but dumb collectively,”
underscoring the need for system-wide thinking rather than isolated task completion.
What Role Do MothershipOS and VisionOS Play?
Destro AI’s cloud-based orchestration system, MothershipOS, and its VisionOS data-collection tool together support the deployment of Agentic AI Brain. MothershipOS is adaptable to diverse hardware and work processes, granting flexibility for both new and existing operations across industries with varied needs. VisionOS leverages smart glasses to collect visual data, streamlining inventory tasks and reducing reliance on handheld barcodes. The company describes how these technologies allow for automatic SKU counting and advanced situational analysis, enabling continuous training of its AI models without interrupting manual workflows.
What Outcomes Have Early Deployments Shown?
Initial rollouts of the Agentic AI Brain targeted logistics and retail clients operating in unpredictable physical environments. Destro AI reports evidence of increased throughput, reduced manual intervention, and improved collaboration between human employees and robots. The platform responds to real-time exceptions such as congestion, shifting priorities, or incomplete handoffs without halting operations. Citing cross-docking as an example, Pawar highlighted the AI’s ability to orchestrate “millions of decisions at any given time” regarding the routing of containers and vehicles.
“The future of automation isn’t more scripts or dashboards. It’s shared intelligence across humans and robots,”
he said, referencing the broader vision for adaptive human-robot collaboration.
Destro AI’s assertion that traditional automation often fails under real-world variability positions Agentic AI Brain as a system tailored for complexity and adaptability. The technology’s compatibility with hundreds of autonomous robot types and its agnosticism to existing workflows allow businesses to layer advanced coordination over their existing resources rather than overhaul infrastructure. By facilitating communication and task assignment between numerous agents and roles, the system aims to address operational gaps that static or siloed solutions cannot resolve.
Wider adoption of centralized AI-based orchestration in automation could drive significant developments in how industries manage mixed fleets of robots and human workers. For organizations considering new automation investments, the interoperability and adaptability seen in products like Agentic AI Brain offer practical examples of how AI can bridge persistent gaps in operational intelligence. When evaluating robotics integration, decision-makers may benefit from prioritizing platforms flexible enough to span diverse roles, hardware, and evolving use cases, as Destro AI’s solution attempts to demonstrate. As logistics and retail operations grow more intricate, scalable intelligence layers such as Agentic AI Brain may become a standard feature for cohesive human-robot collaboration.
