AI, Data & Engineering Insights
AI, Data & Engineering Insights: Agentic AI, Physical AI & Intelligent Mobility
2026 continues to mark an important period of innovation and growth for rProcess. As organizations accelerate AI adoption, digital transformation, agentic AI, physical AI, and autonomous systems, we remain committed to delivering AI data solutions, AI data engineering, AI-ready datasets, scalable engineering services, and technology-driven business outcomes.
This quarter, we proudly inaugurated our new campus in Mysuru, launched YOLOViz, expanded our ADAS data solutions, and strengthened our industry presence through leading automotive, AI, engineering, and business events across Europe and India. These engagements strengthened industry collaborations and reinforced our commitment to autonomous driving, computer vision, multimodal AI, AI engineering, and intelligent mobility.
Beyond technology, we continued to champion sustainability, inclusion, employee well-being, and community engagement, reflecting our H.E.A.R.T. values in everything we do.
As we look ahead, rProcess remains focused on AI-ready data, ground truth engineering, robotics, physical AI, Generative AI, intelligent automation, autonomous operations, and engineering innovation, while building strategic partnerships and delivering future-ready solutions that empower businesses worldwide.
Product & Solutions News
Introducing YOLOViz: Enterprise ADAS Data Annotation & Validation Platform
A major milestone for rProcess, YOLOViz is an enterprise ADAS data annotation and validation platform designed for complex, large-scale sensor datasets powering autonomous driving, automotive AI, computer vision, and intelligent mobility. It combines high-performance visualization, 2D and 3D annotation, LiDAR point cloud processing, multi-sensor data, sensor fusion, ground truth engineering, and quality validation to help automotive teams build reliable AI-ready datasets and accelerate perception-model development.
Built for demanding ADAS and autonomous vehicle programs, YOLOViz handles large-scale sequential data and high-density sensor workloads, supporting 50M+ LiDAR points per frame and 3,000+ frame sequences. With advanced annotation, multi-camera ground truth, enterprise-grade QA, and flexible deployment options, YOLOViz enables scalable automotive data annotation and validation for safety-critical AI applications. rProcess's broader ADAS offering also positions YOLOViz for ultra-high-density workloads and enterprise-grade LiDAR annotation.
- Enterprise ADAS data annotation & validation
- Purpose-built for autonomous driving & automotive AI
- 50M+ LiDAR points per frame
- 3,000+ frame sequences
- Advanced 2D & 3D data annotation
- LiDAR point cloud processing
- Multi-sensor & sensor fusion support
- Multi-camera ground truth engineering
- Enterprise-grade QA & validation
- On-premise, air-gapped & VDI deployment
- Built for large-scale automotive AI programs
ADAS Data Solutions for Autonomous Driving & Automotive AI
rProcess continues to strengthen its ADAS Data Solutions with an end-to-end approach covering the complete autonomous driving data lifecycle, from sensor data collection and multi-sensor processing to data annotation, sensor fusion, ground truth generation, validation, and quality assurance. Our solutions support complex Camera, LiDAR, RADAR, and multi-modal sensor data, helping automotive teams build accurate, reliable, and AI-ready datasets for ADAS and autonomous driving systems.
Backed by expert annotation teams, human-in-the-loop QA, robust validation workflows, and scalable delivery models, ADAS Data Solutions enables automotive OEMs, Tier-1 suppliers, and mobility innovators to accelerate AI model development with the precision, scalability, and reliability required for safety-critical automotive AI and autonomous vehicle applications.
- End-to-end autonomous driving data lifecycle
- Camera, LiDAR, RADAR & multi-sensor fusion
- 2D & 3D data annotation
- Ground truth generation & validation
- Human-in-the-loop quality assurance
- Edge-case analysis & safety-critical QA
- Scalable automotive AI annotation workforce
- AI-ready training data for ADAS & autonomous vehicles
- Flexible delivery models for speed, boutique & enterprise scale
- Secure delivery for automotive data operations
- Faster AI model development & deployment
AI-Powered SCADA Performance Dashboard for Solar PV & BESS
As part of its Engineering Design Services, rProcess developed a centralized SCADA performance dashboard that integrates data from multiple inverter and monitoring platforms into a unified interface for Solar PV and Battery Energy Storage Systems (BESS). The solution combines SCADA data integration, real-time performance monitoring, energy analytics, and AI-enabled insights to help renewable energy teams gain greater visibility into Solar PV and BESS asset performance and make faster, data-driven decisions. By eliminating the need to switch between multiple vendor portals, the dashboard enables asset managers, engineering teams, and operations teams to monitor Solar PV performance, analyze energy KPIs, identify anomalies, and respond to operational issues more efficiently. Its scalable architecture supports multi-site Solar PV and BESS portfolios, enabling smarter asset management, operational efficiency, and digital transformation across renewable energy operations.
- AI-powered Solar PV & BESS monitoring
- Centralized SCADA performance dashboard
- Multi-platform SCADA data integration
- Solar PV & Battery Energy Storage Systems (BESS)
- Real-time Solar PV performance analytics
- String-level Solar PV monitoring
- Automated KPI reporting & visualization
- Multi-site Solar PV portfolio monitoring
- BESS performance monitoring
- Data-driven renewable energy asset management
- Scalable engineering and digital monitoring architecture
Expanding Our Presence. Strengthening Our Impact.
From a new campus in Mysuru to industry engagements across India and Europe, this quarter reflects our continued growth, collaboration, and commitment to creating impact across AI, engineering, and mobility.
A New Campus. A New Chapter for rProcess
On 14 August 2026, on the eve of India’s 80th Independence Day, rProcess inaugurated its fifth delivery centre at KIADB Industrial Area, Thandya, Mysuru. Spread across two acres and more than 30,000 sq. ft., the new campus marks an important milestone in our journey of sustainable growth, strengthening our delivery capabilities, enabling collaboration, supporting our growing teams, and creating new opportunities for talent in the region. This campus represents a meaningful step in our journey of empowering people, embracing technology, and building for the future.
- Fifth delivery centre inaugurated in Mysuru
- 30,000+ sq. ft. campus spread across two acres
- Strengthens scale, collaboration and delivery capabilities
- Creates new opportunities for talent and employment in the region
- Supports our vision of empowering people and building a stronger, future-ready India
Autonomous Vehicle Tech Expo Europe 2026
rProcess took part in one of Europe's leading events for autonomous driving, ADAS technologies, simulation, and validation, bringing together OEMs, Tier-1 suppliers, and engineering leaders. Over three days, the rProcess leadership team exchanged insights on autonomous trucking, automated public transport, HD mapping, simulation, and AI-powered engineering, while showcasing YOLOViz and rProcess' end-to-end ADAS Data Solutions. Meaningful conversations with organizations including Ford, PlusAI, ADASTEC, Foretellix, Renault, DEKRA, Aptiv, Daimler Truck AG, Dynamic Map Platform, Bosch, and ZF Group reinforced rProcess' growing presence in the global automotive ecosystem.
- Showcased YOLOViz and end-to-end ADAS Data Solutions to leading OEMs and Tier-1 suppliers
- Shared expertise in LiDAR, camera, RADAR, sensor fusion, and HD mapping
- Engaged with Ford, Bosch, ZF Group, Daimler Truck AG, Renault, and other global mobility leaders
- Explored new collaboration opportunities across the automotive ecosystem
Taking Action for a Cleaner Tomorrow
In celebration of World Environment Day, the rProcess team joined the CII Mysuru Zone Plastic Clean-Up Drive alongside more than 2,100 volunteers to clean the Mysuru Ring Road. Employees worked directly with community members, government bodies, and partner organizations, a hands-on reflection of rProcess' H.E.A.R.T. culture of being Humane, Empowering, Agile, Reliable, and Transparent.
- Joined 2,100+ volunteers in the CII Mysuru Zone Plastic Clean-Up Drive
- Partnered with CII, Young Indians (Yi), and the Indian Green Building Council (IGBC)
- Contributed hands-on to a cleaner, greener Mysuru
Shaping the Future of Work Through People, Technology & Innovation
At one of India's premier HR technology conferences, Dr. Shilpa Jnanesh, HR Head at rProcess, joined discussions on AI-powered talent acquisition, workforce agility, and employee experience under the theme of Connected Intelligence. She also took part in an exclusive roundtable on EngagementOS, exchanging ideas on building connected, inclusive, employee-centric workplaces.
- Represented by Dr. Shilpa Jnanesh, HR Head
- Explored AI-driven recruitment, skills intelligence, and workforce agility
- Participated in the EngagementOS Roundtable on employee experience
Driving Innovation from Mysuru to the World
rProcess joined entrepreneurs, investors, and innovators at TiECON Mysuru, a platform highlighting Mysuru's growing role as a Global Capability Center (GCC). At the rProcess booth, the team discussed scalable engineering services and distributed delivery powered by Tier-2/Tier-3 talent. Akshai M, Co-founder & CSO, spoke on the ‘Work from / for Mysuru’ panel," sharing insights on building globally competitive engineering capabilities beyond metro cities.
- Akshai M, Co-founder & CSO, featured as a panel speaker
- Showcased AI, engineering design, and digital transformation capabilities
- Highlighted distributed delivery powered by Tier-2 & Tier-3 city talent
Accelerating AI for Engineering: From Innovation to Impact
At the 3rd edition of CII's AI-Powered Summit, the rProcess team joined industry leaders and AI practitioners exploring how AI is transforming engineering and manufacturing through practical, business-driven applications, with a focus on governance, measurable outcomes, and responsible implementation over experimentation alone.
- Gained insights into enterprise AI adoption, automation, and governance
- Explored best practices for scalable, responsible AI deployment
- Reinforced the value of aligning AI initiatives with measurable business outcomes
Driving Transformation with Technology and H.E.A.R.T.
Founded in 2010, rProcess is a global AI, Digital Operations, and Engineering Design company helping enterprises transform data into intelligent business outcomes. With 2,000+ professionals, a 95% repeat client rate, and operations across India, the United States, Germany, and Singapore, we deliver scalable, secure, and high-quality solutions powered by human expertise and advanced technology.
Through our business verticals, rAnnotate, rDigiOps, rSolutions, and rDesigns, we support the complete AI data lifecycle, from AI data engineering solutions to digital operations and engineering services. Guided by our H.E.A.R.T. values, we remain committed to innovation, operational excellence, and creating meaningful impact for our customers, employees, and communities.
Looking Ahead
Looking ahead, rProcess remains focused on expanding its capabilities and helping enterprises accelerate their AI and digital transformation journeys. Building on the momentum of Q2, we will continue investing in innovation, strategic partnerships, and scalable delivery models that create measurable value for our customers.