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The Automotive ANGO: Driving automotive intelligence with iMerit’s AngoHub

Author: Sudeep George, Chief Technology Officer, iMerit

The automotive industry is undergoing a seismic transformation. As vehicles become more autonomous, connected, and intelligent, the need for high-quality data and AI-driven insights has never been greater. From OEMs and Tier 1 suppliers to fleet management firms and insurance providers, every segment of the automotive ecosystem is harnessing AI to improve safety, boost efficiency, and elevate the user experience.

We at iMerit are right in the midst of this revolution with AngoHub, our flagship AI data workflow automation software. AngoHub is designed to empower enterprises in the data-centric AI lifecycle. It allows customers to load complex data workloads, design custom workflows, and seamlessly integrate AI models with human-in-the-loop (HITL) annotation. With its robust capabilities—including data pipeline integration, workflow design, bring-your-own-model (BYOM) for pre-annotation, custom interfaces for annotation and QC, and large-scale operational dashboards—AngoHub is redefining AI data solutions for mission-critical applications. In the complex world of automotive AI, the ability to have high quality data at large scale is a key differentiator.

Beyond data annotation, AngoHub Software plays a pivotal role in auditing and validating AI models, ensuring the highest standards of accuracy and reliability. The platform supports multiple modalities—image, video, audio, text, and point clouds (LiDAR and RADAR)—making it the go-to solution for industries requiring scalable, high-precision data solutions.

Key Beneficiaries in the Automotive Ecosystem

  1. Autonomous Vehicle Development & ADAS Systems
    Autonomous driving and Advanced Driver Assistance Systems (ADAS) require highly precise multisensor fusion [the coordination of streaming information from multiple sensors on the vehicle] to achieve real-time perception and decision-making. AngoHub is equipped with a high-performance 3D multisensor fusion tool designed for automotive AI use cases where multiple inputs—LiDAR, Radar, Camera, and Infrared—must be correlated in each frame to achieve the best possible scene perception. The vehicle’s perception brain makes split second decisions based on its intelligence from all these sensors. There can be up to fifteen sensors whose data needs to be processed and displayed smoothly in order to achieve this – no small engineering feat. The complexity and sensitivity of the data varies by vehicle type. For example, long haul trucks have a much longer braking distance, while passenger vehicles have to deal with pedestrians and crosswalks more frequently, while warehouse trucks do not move in orderly lanes or directions.

    Our solution provides:

    * Advanced caching and rendering capabilities to handle hundreds of millions of LiDAR points across hundreds of frames, including point cloud accumulation using inertial measurement unit (IMU) data or algorithms like Iterative closest point (ICP)
    * Seamless annotation across image, video, LiDAR, and sensor fusion data—often spanning a dozen parallel sensors—including 3D↔2D projection, sensor-specific attributes, and multi-sensor object tracking
    * HITL verification and automated audits to refine AI model accuracy.
    * Machine Learning assisted annotation to expedite the annotation process
    * Smart interface tools to reduce the repetitive work

    These capabilities accelerate the development of autonomous mobility solutions, ensuring greater safety and efficiency on the road.
  1. Automotive OEMs & Tier 1 Suppliers
    OEMs and Tier 1 suppliers are rapidly integrating AI into vehicles, from predictive maintenance to driver monitoring and infotainment systems.

    Ango Hub provides:

    * Scalable annotation for AI-driven in-car voice assistants and infotainment.
    * Multimodal annotation to optimize driver behavior prediction.
    * Pre-annotation using Bring-Your-Own-Model capabilities, enabling faster model training and validation.

    By leveraging AngoHub, automotive manufacturers can accelerate product development while ensuring data accuracy and security.
  1. Automotive Insurance & Risk Assessment Firms
    The insurance industry is increasingly adopting AI to streamline claims processing and fraud detection. With AngoHub, insurance providers benefit from:
    AI-assisted annotation of accident imagery and surveillance footage.
    Scalable validation workflows for assessing claims data.
    Predictive analytics for personalized insurance premiums based on driving behavior.
    These capabilities significantly improve efficiency and customer satisfaction while reducing fraud risks.

The Ango Advantage: Precision, Scale, and Security

  1. High-Performance Multisensor Fusion for Automotive AI

    Our AngoHub Automotive AI software provides industry-leading 3D multisensor fusion annotation capabilities, handling complex correlations between LiDAR, Radar, Camera, and Infrared data with high accuracy. This ensures accurate perception modeling, a critical component of autonomous driving technology.
  1. Scalable AI Data Workflow Automation

    AngoHub Software is designed for enterprise-scale AI data pipeline management. iMerit’s AI-powered workflows integrate LiDAR, Radar, and camera data to streamline annotation and enhance object detection. Leveraging multi-sensor fusion capabilities, AI-powered workflows automate key processes—from multi-frame point cloud merging to machine learning-powered segmentation—redefining efficiency in 3D annotation

    ▪️Interpolates cuboid generation across frames and automates bounding box creation, eliminating manual steps.

    ▪️Fuses multi-frame LiDAR data for a holistic view of object sequences.

    ▪️Differentiates ground vs. non-ground points and streamlines workflows, providing automated grounding capabilities and multi-view capabilities for enhanced accuracy

    ▪️Streamlines workflows with customizable API integration enabling automated ingestion, exports, dynamic workflow orchestration and management and sophisticated validation checks

  1. Secure and Compliant AI Data Solutions

    Data security is paramount in the automotive industry. iMerit ensures full compliance with industry standards, including TISAX, GDPR, ISO 27001, and SOC 2. Our platform provides enterprise-grade security, protecting sensitive datasets and proprietary AI models.
  1. Analytics



    The quality, throughput and consistency of training data at a large scale are critical. AngoHub stands out with its powerful production analytics and dashboards. Ango’s analytics suite provides real-time visibility into project performance across large datasets—tracking annotation accuracy, throughput, rework rates, and workforce efficiency. These insights help project managers make quick, informed decisions to maintain quality and stay on schedule, even across globally distributed teams. With interactive dashboards, teams can drill down to individual asset-level data or zoom out to spot trends across projects.
    Beyond performance tracking, Ango also enables deep data distribution analysis. The platform’s analytics engine helps teams evaluate class balance, edge cases, and potential sources of bias—ensuring that datasets are not only accurate but also diverse and representative. By identifying gaps in class coverage early in the pipeline, teams can course-correct to avoid downstream model underperformance.
    Furthermore, production analytics play a key role in cost optimization. By flagging redundant annotations, inefficient workflows, or inconsistent quality, Ango enables teams to refine processes and reduce rework—ensuring that data delivery meets both quality and budget goals. In an era where the scale and complexity of AI datasets are growing rapidly, iMerit’s Ango offers an intelligent, transparent, and quality-focused approach to data lifecycle management.

  1. Validating Automotive AI: How AngoHub Accelerates Model Refinement

    As autonomous vehicle technology advances, ensuring model accuracy and safety in real-world driving conditions is more critical than ever. Our software platform, AngoHub, plays a central role in supporting model validation for leading automotive AI companies—helping refine production-grade models with human-in-the-loop intelligence at scale.

    In the automotive sector, AI models must interpret complex sensor data—LiDAR, video, radar, and more—while making split-second decisions. With AngoHub, enterprise teams can validate these models by comparing outputs against expertly labeled ground truth data. Annotators analyze model predictions, identify anomalies, and correct edge cases—ensuring the model continuously learns from its mistakes.

    It also enables a richer suite of validation services, including scenario testing, where models are evaluated on edge-case driving situations such as sudden pedestrian crossings or poor visibility conditions. Additionally, drift analysis monitors model performance over time, flagging degradations caused by changes in environments, lighting, or road conditions. These insights allow enterprises to proactively update models before real-world performance is impacted. By streamlining validation workflows and combining annotation, feedback, and analytics in a single interface, AngoHub reduces iteration cycles and operational costs while increasing confidence in model reliability.

Driving the Future of Automotive AI

The automotive industry is evolving at an unprecedented pace, and iMerit is committed to empowering its stakeholders with AI-driven data solutions. Whether it’s accelerating autonomous vehicle development, optimizing fleet management, or revolutionizing insurance risk assessment, AngoHub Software is the foundation that enables AI to reach its full potential.

With precision, scalability, and security at the core of our offerings, iMerit is proud to partner with some of the largest automotive leaders to drive the future of mobility.


About iMerit: iMerit is a company that powers software-delivered AI data solutions. With 10+ years in enterprise AI data, iMerit works on client data to prepare it for training their AI models through a combination of software, domain knowledge, automation, and human-in-the-loop.

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