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Meet rProcess at AutoSens Europe & Auto.AI Europe
MEET US ON-SITE

AutoSens Europe

22–24 Sept 2026 • Barcelona, Spain

Explore our AI Data Solutions for ADAS and autonomous driving systems.

MEET US ON-SITE

Auto.AI Europe

28–29 Sept 2026 • Munich, Germany

Discover end-to-end tooling, sensor pipelines, and perception data.

Driving Transformation. Delivering Excellence.
ADAS Data Solutions, Digital Operations
& Engineering Design Services
Powering enterprises with high-quality training data, optimized digital operations & scalable engineering support.
EVENTS ›
MEET US AT
INDIA AI IMPACT SUMMIT 2026 Booth: 3F-24A

Shaping AI for Humanity, Inclusive Growth & a Sustainable Future. 📍 New Delhi, India | 📅 16–20 February 2026

15+ Years of ITES Excellence

2000+ Professionals

64% Women Workforce

95% Repeat Clients

60% Talent from Tier-2 & Tier-3 Cities

100% Agile Delivery Model

99% Client Responsiveness

100% Transparent Operations

70% Talent via Impact Sourcing

Our Core Services

In today’s connected world, every frame, label, and line matters. Precision builds trust.

We transform data, design, and intelligence into solutions that power industries across the world.

Industries We Serve

Delivering excellence across diverse sectors with domain expertise.

Case Studies

Discover how rProcess transforms complex, high-volume data into accurate, structured, and AI-ready datasets through scalable workflows, specialized expertise, and rigorous quality control.

 

AUTOMOTIVE / ADAS
rAnnotate AI data annotation services transforming image, video and sensor data into high-quality training datasets for computer vision and machine learning.

Vulnerable Road Users (VRU)

Supporting autonomous driving with structured camera and LiDAR annotation for Vulnerable Road Users, including pedestrians, animals, ridable vehicles, and mobility devices across dynamic vehicle environments.


33 VRU classes | 13 attributes
Structured annotation across humans, animals, vehicles, and mobility devices
Camera + LiDAR sequences
Dynamic sequences of up to 40 frames across images and point clouds
Multi-level quality control
Self QC, Shadow QC, and QA validation for consistent annotation quality
45 → 250 users in 2 months
Scaled a certified annotation workforce across a 9-month project
RECYCLING / ROBOTICS AI
AI-powered waste detection, sorting and computer vision solutions for waste management operations.

Waste Management and Recycling

Enabling computer vision and AI systems with precise segmentation and annotation datasets for intelligent object recognition, classification, and automated sorting.


350 diverse datasets
Datasets spanning MSW, C&D, manufacturing, electronics, and other waste streams
Precise object segmentation
Detailed labels supporting accurate waste classification and material identification
Robotics-ready AI data
Supporting machine learning models and automated sorting systems
Improved material recovery
More efficient sorting and recovery of recyclable materials
SPORTS ANALYTICS / COMPUTER VISION

Soccer Player & Ball Tracking

Enhancing sports analytics through precise annotation and correction workflows for player identification, jersey numbers, and ball tracking across fast-paced soccer match footage.


Jersey number correction
Segment-based, keyboard-driven workflows for accurate player identification
Frame-by-frame ball tracking
Centroid-based annotation enabled precise tracking of fast-moving balls
Fast error correction
Streamlined controls and undo functionality accelerated high-volume correction workflows
Analytics-ready datasets
Delivered corrected ground-truth data for sports analytics, broadcast, and computer vision models

How We Work

Simple, iterative and transparent process that establishes clear protocols and
milestones for efficient and timely delivery of your projects.

Discover

We capture your goals, data, stakeholders and set a clear roadmap.

Setup

Data ingestion, workflows configured and quality standards established.

Pilot

We execute a proof-of-concept, show sample results, confirm the approach.

Steady-State

Full-production delivery, continuous QA and optimisation.

Why Choose Us

Leverage the comprehensive end-to-end solutioning by rProcess. We don’t just deliver data or designs, we deliver confidence. Our expertise, certifications, and inclusive delivery model make us the partner of choice for enterprises that demand accuracy, security, and measurable impact.

01

Marketplace Expertise

02

Scalable Teams

03

Hybrid Intelligence for Precision

04

Performance & Pricing Advantage

05

Ethical Talent Model

06

Global Delivery with Local Expertise

01

Marketplace Expertise

02

Scalable Teams

03

Hybrid Intelligence for Precision

04

Performance & Pricing Advantage

05

Ethical Talent Model

06

Global Delivery with Local Expertise

Certified & Compliant
Built for Trust, Security & Global Standards

ISO 9001:2015 certified quality management system demonstrating rProcess commitment to consistent quality and customer satisfaction.

ISO 9001:2015

Quality Management System

ISO 27001:2022 certified information security management system ensuring secure handling of customer data and information assets.

ISO 27001:2022

Information Security Management

Responsible Business Alliance Platinum certification recognizing ethical business practices, labor standards and responsible operations.

RBA Platinum

Responsible Business Alliance Standards

HIPAA compliant data handling practices for protecting healthcare information and patient privacy.

HIPAA Compliant

Healthcare Data Security & Privacy

TISAX assessed information security standards supporting the automotive industry supply chain.

TISAX

Automotive Security & Privacy

GDPR compliant data privacy practices for protecting personal data in accordance with European Union regulations.

GDPR Compliant

Data Privacy & Protection

Global Footprint & Impact

Headquartered in India, rProcess is an impact sourcing partner with distributed delivery centers and global sales offices in the US, Germany, and Singapore. We provide scalable, ethical, and precision-driven digital solutions to enterprises across North America, Europe, APAC, and the Middle East.

Latest Insights & Articles

Insights, trends, and thought leadership from our experts.

AI powered Robotic arms
ROBOTICS

How AI Is Redefining What Robotic Arms Can Do

Robotic arms have transformed manufacturing and industrial automation for decades. But the next generation of AI-powered robotic arms is changing what these machines can actually do.

Industry Trends

ADAS & AI Data Engineering Insights

Autonomous driving is entering a phase where the constraint is no longer how much sensor data a fleet can collect, but how well that data is structured, synchronized, and made legible to reasoning systems.

NEWSLETTER 2026

AI, Data & Engineering Insights

Explore insights, trends, and expert perspectives on AI data engineering, computer vision, autonomous mobility, digital operations, engineering design, and emerging technologies.
 

FAQs – rProcess

Explore detailed insights into our AI data annotation capabilities, digital operations, security standards, project workflows, and scalable delivery models across industries.

What services does rProcess offer?

rProcess delivers AI data annotation, digital operations, and engineering design services to help enterprises build accurate AI models and scale efficiently. Our expertise spans training data creation, content and product data management, end-to-end AI solutions, and CAD/engineering support across multiple industries.

rProcess supports a wide range of industries including automotive (ADAS & autonomous systems), agriculture, healthcare, retail & e-commerce, FMCG, construction, real estate, social media, sports analytics, and waste management. Our solutions are tailored to industry-specific data, compliance, and operational requirements.

rProcess combines deep domain expertise, scalable human-in-the-loop workflows, and advanced annotation tools to deliver production-ready datasets. We focus on accuracy, compliance, and enterprise-scale delivery, not just task execution, but outcome-driven AI enablement.

rProcess supports a comprehensive range of data annotation services, including image and video annotation, LiDAR and 3D point cloud labeling, text and NLP annotation, audio labeling, and multimodal datasets Etc. These services are designed to power high-performance AI and machine learning models across industries.

Yes. Most engagements begin with a structured pilot phase (typically 100–500 samples) to validate quality benchmarks, workflows, tooling alignment, and communication processes. Upon successful evaluation, projects scale seamlessly into full production.

Yes. rProcess is tool-agnostic and experienced across leading annotation platforms. We can work within client-preferred environments or collaborate with trusted platform partners to deliver integrated tooling and annotation solutions.

rProcess operates within a secure, audit-ready framework and is ISO 9001:2015, ISO 27001:2022, TISAX, and RBA Platinum certified, with GDPR-aligned processes. Data protection measures include encryption, controlled access protocols, NDAs, secure infrastructure, and monitored work environments.

Yes. we support generative AI and LLM workflows through data curation, structuring, labeling, validation, red-teaming, content moderation, and quality evaluation to ensure models are safe, accurate, and aligned with enterprise use cases.

Quality is maintained through multi-layer validation, domain-trained annotators, rigorous QA checkpoints, sampling audits, and performance benchmarking. Our human-in-the-loop model ensures high precision and continuous improvement.

Pricing is determined by data modality, annotation complexity, ontology depth, volume, and turnaround requirements. We offer transparent pricing models, including per-task, per-frame, and project-based structures, with optimized efficiencies for long-term and high-volume engagements.

A typical engagement includes requirement analysis, pilot execution, workflow configuration, dedicated team allocation, quality benchmarking, and scalable production deployment. We align SLAs, KPIs, and reporting mechanisms from the start.

We follow structured feedback loops with defined revision cycles, root-cause analysis, and continuous process optimization. Client feedback is incorporated into updated guidelines and quality controls to ensure measurable improvement.

Ready to Transform Your Data Operations?

Join industry leaders who trust rProcess for their critical data operations.