KMS Technology acquires Addepto. Read the Full Press Release
Automotive OEMs, suppliers, and mobility providers can accelerate from fragmented AI pilots to scalable, production-grade solutions — unlocking new revenue streams, streamlining operations, enhancing workforce safety, and fully leveraging vehicle data across the entire lifecycle.
Automotive organizations gain the ability to rapidly design, deploy, and scale AI-driven solutions across the full vehicle lifecycle. From engineering and manufacturing to connected vehicle operations and after-sales services, you can cut costs, reduce unplanned downtime, accelerate time-to-market, and gain connected vehicle data insights.
The automotive industry is undergoing its most significant transformation in decades.
Vehicles are becoming software platforms, data volumes are surging, and regulatory and ecosystem complexity is increasing rapidly.
Organizations that move early by unifying their data, deploying predictive intelligence, and embedding AI into engineering and operational workflows are pulling ahead.
Those that wait face growing risk, including rising warranty costs, slower development cycles, compliance exposure, and workforce safety models that struggle to keep up with the complexity of modern production environments.
Telemetry, infotainment, ERP, and test rig data living across disconnected systems prevents organizations from treating vehicle data as the strategic asset it is.
Without predictive intelligence, vehicle and equipment failures surface too late, leading to avoidable warranty claims, unplanned downtime, and costly customer experience failures.
Non-technical teams lack the tools to query and act on data without routing every question through a data analyst.
High turnover, labor shortages, and increasingly complex human-robot interactions make enforcing safety compliance reactive rather than preventive.
Without MLOps discipline, AI models degrade, drift, and fail to deliver sustained business value beyond the proof of concept.
Connected Vehicle & Predictive Maintenance
Data Platform & Single Source of Truth
Conversational AI & LLM-Powered Analytics
Digital Twin & Virtual Commissioning
Manufacturing AI & Quality Optimization
Worker Safety & Manufacturing Asset Protection
EV & e-Mobility Data Infrastructure
Vehicles generate enormous volumes of telemetry data, yet much of it remains underutilized. KMS builds connected vehicle intelligence platforms that unify real-time telemetry, fleet data, and operational signals into a continuously updated foundation. Shift from reactive repairs to predictive, data-driven operations.
KMS builds modern automotive data platforms that consolidate reporting, real-time telemetry ingestion, and AI pipelines into a single source of truth, replacing fragmented dashboards and inconsistent data pipelines.
KMS builds LLM-powered conversational interfaces that allow users to query vehicle, manufacturing, and operational data in plain language and receive instant, context-aware answers grounded in their organization’s data.
Virtual commissioning depends on fast access to reliable engineering knowledge. When data is fragmented across PLM, ERP, CAD, and robotic simulation tools, commissioning slows and deployment risks increase. KMS builds AI knowledge platforms that connect machines, robots, and production lines into a unified knowledge graph, making engineering data instantly searchable through natural language.
Automotive manufacturing requires continuous improvement and near-zero defects. KMS applies AI and machine learning across production environments to optimize machine parameters, detect anomalies early, reduce reject rates, and improve throughput. Digital twin simulations validate models before live deployment, ensuring measurable performance gains in real production settings.
Automotive manufacturing environments present evolving safety risks, from heavy machinery and EV battery assembly to complex human-robot interactions. KMS partners with SAS to deliver a Worker Safety and Vision Intelligence Solution that combines computer vision and real-time event stream processing to monitor worker behavior and environmental conditions across production floors.
The shift to electric vehicles introduces new data challenges across battery health, charging behavior, range prediction, and fleet telemetry. KMS builds scalable data platforms and AI models designed specifically for EV and e-Mobility environments, transforming complex vehicle and charging data into reliable insights for engineering and product teams.
Reduce warranty costs and unplanned downtime
Predictive vehicle health monitoring identifies failures in advance, keeping fleets and production lines running.
Enable insightful dashboards without delay
Modern data warehouses and near real-time telemetry ingestion replace slow, fragmented reporting.
Prevent accidents before they occur
Computer vision monitors in real time, proactively identifying risky behaviors and near-miss incidents.
Increase customer retention
Predictive retention models and personalization identify at-risk customers early and trigger outreach.
Resolve issues faster through natural language
Query vehicle and operational data in plain language to quickly identify issues and resolutions.
KMS and Addepto, a KMS company, work with organizations across the automotive ecosystem.
Across long-term partnerships with global OEMs, Tier-1 suppliers, and mobility providers, Addepto has delivered production-grade AI and data solutions that address the real operational challenges of modern automotive organizations, from unifying vehicle data and accelerating engineering workflows to protecting workers on the factory floor.
A global automotive OEM needed to unify reporting, AI models, and near real-time telemetry ingestion across disconnected systems. Addepto, a KMS company, built a modern data warehouse serving as the foundation for dashboards, LLM-powered analytics, and anomaly detection models, enabling stakeholders to access insightful information through natural language for the first time.
A global OEM required an advanced predictive maintenance solution for complex engine systems experiencing frequent breakdowns. Addepto, a KMS company, developed and deployed an AI model using advanced machine learning algorithms to identify failure patterns and optimize maintenance schedules — improving reliability and reducing costs across the client’s operations.
A luxury automotive manufacturer needed to optimize virtual commissioning across a complex robot-driven production network. Addepto, a KMS company, implemented an AI-powered knowledge platform, knowledge graphs, and digital twin visualization — allowing engineers to retrieve, structure, and visualize engineering data in real time and ask questions in natural language.
KMS partners with OEMs, Tier-1 and Tier-2 suppliers, fleet operators, and mobility providers across the full automotive value chain. Our engagements span connected vehicle platforms, manufacturing AI, virtual commissioning, EV data infrastructure, worker safety, and conversational analytics — at both regional and global scale, across multiple brands and production environments.
Through LLM-powered conversational interfaces and natural language analytics platforms. KMS builds solutions — from LLM analyst tools to AI-powered service chatbots — that allow operations managers, CCS teams, and business stakeholders to query complex vehicle and manufacturing data in plain language and receive instant, grounded answers. This reduces reliance on data analysts and enables faster, more confident decision-making across the organization.
Yes — and this is a core part of how we engage. Our integration-first approach means we build on top of existing infrastructure rather than replacing it. We’ve helped automotive organizations migrate from Excel-based reporting and fragmented data pipelines to modern, cloud-native data warehouses while maintaining continuity of operations throughout. Most engagements begin with an architecture review to define a clear, low-risk modernization path.
Yes. KMS specializes in phased modernization strategies that allow legacy and modern platforms to operate in parallel. This approach reduces risk, preserves continuity, and enables transformation without interrupting customer or business operations.
KMS delivers end-to-end insurance technology services, including strategy, architecture, software engineering, data platform development, AI enablement, QA automation, and long-term platform evolution.