If you are in robotics, you know the traditional automation constraints. It always demands bespoke integration as per the workflow. Thus, the disadvantages are sluggishness in deployment and no flexibility in its adaptation to changes. SakarRobotics™ was founded—by Managing Director (MD) & Chief Executive Officer (CEO), Karan Patil, Chairman, Manoj Pochat, and their team of experts—to solve this issue by collapsing all the fragmented silos into a single extensible mobile platform solution.
“We architected a composable stack where perception, autonomy, manipulation, and orchestration cooperate natively. Our mission: Delivering a unified robotics platform that can be rapidly configured to execute diverse workflows – reducing time-to-value, elevating safety, and embedding continuous improvement loops into daily operations,” said Karan, who spoke in an exclusive interview with team CIOLook India, detailing their journey so far, achievements, and plans for 2026.
Welcome Sir! The first question is about the next frontier: Beyond standard warehousing or assembly, what is the single most complex, unstructured industrial process your company is actively working to fully automate in the next two years?
SakarRobotics™ is at the forefront of the design of advanced SakarBot (Mobile Manipulator Robot) platforms to be used in unstructured industrial settings to manipulate objects. We do not simply replace repetitive tasks or surveillance with robotics; our primary objective is to implement robotic applications in flexible pick, place, inspect, and adaptive applications of objects in several industries. The SakarBot has a modular mobile base, on which the customers can stack application-specific assemblies like collaborative arms to handle materials with accuracy, vision-based inspection devices to control quality, or custom grippers to complete specialized manufacturing operations. One of the applications among many is security surveillance, which has number plate recognition and face recognition, among others, powered by AI. Our system allows users to change the robot to a new functionality within a minute, which indeed breaks the barrier between human workers and automated manipulation in the industry workplace.
The AI/Robotics Fusion: How are you integrating advanced Artificial Intelligence (AI), such as deep learning or predictive analytics, to move your robots from repetitive task execution to autonomous, decision-making agents?
Our technology is based on an edge AI stack directly consuming power on the robot and able to drive perception, learning, and predictive analytics. Robots in manufacturing are also used to pick and sort objects with vision sensors, which autonomously detect and identify objects on the line for sorting, placing, and quality assurance. Deep learning models will motivate inspection modules, which may identify defects, assemble them, and check them. In contrast, pick-and-place machines can be assisted by predictive path planning to quickly navigate and avoid dynamic obstacles. Another application of AI to surveillance payloads is real-time face recognition and anomaly detection, but our secret technology is task-agnostic autonomy; the same system can generate contextual decision-making on all payloads and jobs.
Human-Robot Collaboration: What advancements are you making in cobots (collaborative robots), and what is your strategy for defining the optimal partnership between human operators and robotic systems on the factory floor?
Our platforms are intended to work with a real human-robot cooperation. With an easy interface, operators can allocate pick, place, or inspection operations. In mixed operations like assembly lines, the robot will assist with the material handover, and human beings will be involved with supervision and the assembly. State-of-the-art safety systems that are zone speed-controlled and multi-redundant perception are a guarantee of smooth cooperation and accident-free operations. Intuitive controls, flexibility, and real-time feedback facilitate the development of productive teamwork, making robots flexible partners instead of inflexible automation tools.
Data as a Product: What is the value proposition of the data generated by your robotic systems, and how are you helping clients leverage this data for predictive maintenance, supply chain optimization, or new business insights?
The SakarBot modules continuously produce and transmit the process data-cycle times, handling logs, inspection outcomes, and predictive analytics- into user dashboards. Pick-and-place operations provide input into manufacturing KPIs and process optimization; quality intelligence and traceability in real-time are supported by inspection modules, and compliance efforts are made. All robotic systems will offer business information on accelerating processes, predictive maintenance, and optimization of the supply chain, rather than robotic surveillance notifications only.
Addressing the Talent Gap: How does your deployment strategy directly address the global shortage of skilled labor, and what kind of new, high-value jobs are being created or necessitated by your technology?
We are also empowering the semi-skilled workers to operate at high levels of automation by creating easy-to-deploy and monitor robots with the objective of lowering the barrier to training. Human employees move to supervisory positions, managing systems and data analysis, and the robots are used in heavy work, such as physical work and specific inspection. New professions-robot fleet operators, deployment data scientists, data analyst quality, and so on-are appearing with our technology, skill-training the workforce, and reducing barriers, industry after industry.
Barriers to Adoption: What is the single biggest non-technical hurdle, such as cost, change management, or regulation, preventing mass adoption of your automation solutions, and how are you working to mitigate it?
Change management is the biggest non-technical issue- businesses fear discontinuity, the expenses, and the adjustment of the workforce. We reduce these issues through pilot programs, modular rental plans, practical training, and measurable ROI proof-points to facilitate the clients’ moving to scaled deployment.
Resilience and Customization: How do your solutions offer the agility and flexibility needed for today’s rapidly changing consumer demand, moving away from rigid, fixed automation toward highly customizable and adaptive systems?
Flexibility: Our mobile manipulators are incomparable. The reconfigured base can do different jobs – pick-and-place, sorting, product inspection, or security – to assist a business in changing rapidly to market or production needs. Open APIs and hardware interfaces are customer-adaptable to their workflows and future-proof their automation investments.
The Digital Twin Advantage: Are you using Digital Twin technology with your robotic systems, and if so, how does this enhance deployment speed, optimization, and predictive maintenance for clients?
The digital twin simulations are cohesively deployed through our deployments. Clients utilize them to streamline the process design, probe new robot designs, and predict maintenance requirements. We speed up system rollout by simulating the workflow virtually and enabling predictive service, reducing downtime, and maximizing system efficiency.
Global Expansion Corridors: Which new geographic or industrial markets outside of your core base represent the most significant growth opportunities for robotic automation in the next three years?
Specialty plants where flexible object manipulation and inspection are highly sought after are the largest growth markets, which are manufacturing hubs in Southeast Asia and logistics operations in the Middle East. Surveillance and security are still very important, yet our deployment strategy is industry-neutral and it is used across various verticals.
The 2026 Legacy: If your company is seen as a leader in transforming industries by 2026, what single, fundamental change to the industrial landscape will be attributed to your specific innovation?
Sakar Robotics intends to change the way industries operate to an on-demand, reconfigurable, modular mobile manipulation platform by 2026. We will make a difference as the democratic high-precision, customizable robot solutions to pick, place, inspect, and handle, and enable businesses to combine human resourcefulness with robot precision in all fields.
