Connected, intelligent and AI-guided service diagnostics

Unify Remote Diagnostics, Diagnostics Stack, Service Tester and Trace2Fix into a service ecosystem for Software Defined Vehicles. From fault detection to guided repair, KPIT helps OEMs close the service loop faster.

70%Potential reduction in diagnosis time with remote diagnostics
40%Technician productivity uplift with Service Tester
30-50%Faster platform integration with diagnostics runtime
AIGuided fault finding and field-learning feedback loop
Service Challenges

Aftersales diagnostics is becoming more complex, more connected and more time-critical.

Service teams need faster fault discovery, consistent vehicle access, guided repair logic and a feedback loop that learns from the field.

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Delayed fault detection

Failures are often discovered late, limiting the ability to prepare before workshop arrival.

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Fragmented tooling

Technicians work across service systems, diagnostic applications, vehicle data and parts information that are not always connected.

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Protocol complexity

Modern architectures need support across classic diagnostics, edge systems, cloud access and SOVD-ready services.

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Low first-time fix

Without guided logic, technicians spend more time isolating root causes manually, increasing repeat visits.

The Solutions

Solutions for the Next Era of Service Diagnostics

KPIT's Service Diagnostics Solutions provides specialized solutions that address evolving service challenges across connected, electric and software-defined vehicles. From remote diagnostics and workshop tools to diagnostic platforms and AI-guided troubleshooting, each solution helps OEMs improve service efficiency, diagnostic effectiveness and customer experience.

Remote-first service

Remote Diagnostics

Remote Diagnostics enables connected fault monitoring, vehicle health visibility, remote troubleshooting and ahead-of-repair analysis across both onboard and offboard diagnostic components.

The onboard layer captures vehicle signals, DTCs, ECU responses and health events close to the vehicle. The offboard layer brings cloud diagnostics, service operations, expert support dashboards and service workflows together so OEM teams can triage issues before workshop entry.

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Onboard diagnostic componentsVehicle-side data capture, ECU communication, DTC monitoring, health status and event triggers.
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Offboard diagnostics layerCloud-side workflows for remote triage, service analytics, expert support and operations visibility.
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Remote expert assistanceEnable diagnostic teams to support technicians, roadside teams and service centers with better context.
Onboard + Offboard DiagnosticsVehicle-side diagnostic context connected to cloud-side service workflows for faster remote triage.
Runtime backbone

Diagnostics Stack

Diagnostics Stack provides the foundation required to build, deploy and scale modern diagnostic solutions across classic and software-defined vehicles.

The platform enables OEMs to standardize diagnostic services across vehicle, edge, cloud and workshop environments while supporting established standards and emerging service-oriented architectures. It combines reusable building blocks that help accelerate solution development, reduce integration complexity and provide a consistent approach to diagnostic access and execution.

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Service-oriented diagnosticsSOVD server and SDK capabilities for SDV service access and cloud/edge integration.
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Classic diagnostics foundationUDS, DoIP, D-PDU, D-Server, ODX and OTX support for established diagnostic workflows.
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Consistent runtime controlSession handling, secure access and reusable diagnostic service execution across programs.
Core Building Blocks
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SOVD Server / SDK

Vehicle, edge and cloud deployment for API-centric diagnostics and SDV service access.

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UDS Server

Classic and SOA variants for diagnostic service execution and ECU communication.

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Classic Adapter

D-PDU, D-Server, ODX and OTX adapter layer for established tools and applications.

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Cross-platform Runtime

Windows, Linux, Android, iOS, QNX and more for broad deployment scenarios.

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Technician application

Service Tester

Service Tester provides technicians with a unified diagnostic experience across workshop, field-service and remote support environments.

The platform supports the complete diagnostic journey from vehicle identification and health checks through troubleshooting, flashing, calibration and guided repair workflows. Designed for scalable OEM deployment, it integrates diagnostic execution, service information and workflow guidance into a single technician experience.

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Guided diagnostic executionConfigurable health checks, DTC workflows, guided routines, flashing and calibration steps.
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Vehicle and ECU interactionECU identification, live data monitoring, parameter configuration and command execution.
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OEM ecosystem integrationConnects with service information, diagnostic authoring, repair workflows and enterprise systems.
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Unified Technician ExperienceDiagnostic execution, service information and workflow guidance in one technician-facing interface.
directions_carECU Identification
monitor_heartHealth Check
problemDTC Read / Clear
routeGuided Diagnostics
query_statsLive Data
system_update_altFlashing
tuneCalibration
cableMulti-VCI
AI Guided Diagnostics

Trace2Fix: AI-guided diagnostics for technician productivity.

Trace2Fix converts diagnostic context, symptoms, DTCs, repair knowledge and feedback into dynamic guided diagnostics.

30-50%Potential faster diagnostics through guided troubleshooting
40%Technician productivity improvement reference from service tooling outcomes
80%Platform reuse reference from Trace2Fix deployment experience
<2 moReferenced platform delivery timeline
10+Languages supported in referenced Trace2Fix experience
AI guided diagnostics visual
AI guided troubleshootingDynamic diagnostics guidance to help technicians move from symptom to root cause with confidence.

Why Trace2Fix?

Trace2Fix is an AI-guided diagnostics solution that helps technicians move through troubleshooting with dynamic test plans, root-cause reasoning and a continuous learning loop driven by service outcomes.

By leveraging diagnostic context, symptoms, DTCs, repair history, technician feedback and existing service knowledge, the platform generates guided recommendations tailored to the issue being investigated.

task_altDynamic test plans from DTCs, symptoms and feedback.
task_altDTC grouping and correlation to reduce duplicated effort.
task_altVIN and configuration-aware guidance for contextual troubleshooting.
task_altBi-directional linkage with Service Tester to move from insight to execution.
Faster root-cause isolation

Guide technicians toward probable causes instead of manually evaluating every possible path.

Higher first-time fix potential

Contextual diagnosis and guided procedures help reduce repeat visits and unresolved cases.

Lower technician dependency

Codifies expert knowledge so new and experienced technicians can follow consistent logic.

Intelligent test prioritization

Dynamic test planning helps focus effort on the highest-value next diagnostic action.

Continuous improvement

Service feedback and repair outcomes can improve future diagnostic recommendations.

Standards and Integration

Built for the protocols and ecosystems service operations depend on.

The Solutions combines established diagnostic standards with next-generation service-oriented diagnostics, connected access and AI-assisted troubleshooting.

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UDS / DoIP

Unified diagnostic services and diagnostics over IP for classic and modern vehicle access.

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SOVD

Service-oriented diagnostics for API-based software-defined vehicle programs.

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D-PDU / VCI

Diagnostic communication through VCI specifications including J2534, RP1210 and D-PDU.

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ODX / OTX

Diagnostic data and executable diagnostic sequence standards for consistent runtime behavior.

Business Impact

Quantifiable outcomes for connected service operations.

Executive-ready view of measurable service diagnostics impact across remote, technician and platform layers.

70%

Lower diagnosis time

Potential reduction in diagnosis time with remote diagnostics.

20%

Lower repair time

Potential reduction in repair time through earlier analysis and guided service.

40%

Technician productivity

Productivity uplift through Service Tester and workflow improvements.

30-50%

Faster integration

Faster platform integration with diagnostics runtime components.

Why KPIT

A complete diagnostics partner for vehicle, cloud, workshop and AI.

KPIT brings automotive diagnostics knowledge, standards depth, service operations understanding and AI-led product thinking.

Standards expertise

UDS, DoIP, D-PDU, ODX, OTX and SOVD support across classic and SDV architectures.

SDV-ready stack

API-first and cloud-ready diagnostic foundation aligned to next-generation vehicle programs.

End-to-end coverage

Vehicle to cloud to workshop to technician to analytics, with Solutions-level integration.

AI-powered service

Trace2Fix guided diagnostics and service feedback loops for technician decision support.

Proof Points

Proven across remote diagnostics, service tester and intelligent troubleshooting.

A selected set of implementation references and case outcomes from the uploaded Solutions material.

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Passenger Car OEM

Remote diagnostics and OTA design

Support for OTA updates and remote diagnostics, data-driven approach for updating multiple ECUs and flashing of a 5 GB software package.

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Commercial Vehicle OEM

Asset Management & Guided Diagnostics

Deployment of an asset management and AI-guided diagnostics across dealer and fleet. ↓20% Repeat Repairs ↑15% Uptime ↓18% Diagnostic Cost

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Agriculture OEM

Service tester and guided repair

6-month time-to-market reduction, 30% technician productivity improvement and 40% tool maintenance cost reduction.

Let's build together

Transform service diagnostics from reactive repair to predictive resolution.

Connect vehicles, technicians and AI through a unified diagnostics ecosystem built for Software Defined Vehicles.

FAQ

Frequently asked, directly answered.

A customer-facing FAQ focused on service efficiency, rollout readiness, SDV compatibility and diagnostic impact.

How can this Solutions improve first-time fix rates?

Remote Diagnostics, Service Tester and Trace2Fix can provide better fault context, guided troubleshooting and service knowledge reuse so technicians can identify likely root causes more efficiently.

How does Remote Diagnostics reduce workshop effort?

Remote Diagnostics helps service teams see fault context, vehicle health and diagnostic events before physical workshop inspection, enabling pre-workshop triage and better service preparation.

How do onboard and offboard layers work in Remote Diagnostics?

The onboard layer captures vehicle-side diagnostic context such as signals, DTCs and health events. The offboard layer supports remote triage, diagnostics dashboards, service operations workflows and expert assistance.

Can Remote Diagnostics support proactive service strategies?

Yes. By monitoring vehicle health and diagnostic events remotely, service organizations can identify potential service needs earlier and initiate corrective actions before issues escalate.

How does this Solutions support Software Defined Vehicles?

The Diagnostics Stack supports modern service-oriented diagnostic approaches while continuing to support established diagnostic standards used across current fleets.

What role does Service Tester play in workshop transformation?

Service Tester provides technicians with a unified diagnostic experience for health checks, DTC workflows, live data, flashing, calibration and guided repair activities.

Can Trace2Fix leverage existing diagnostic knowledge and repair history?

Yes. Trace2Fix uses diagnostic context, symptoms, DTCs, repair history, technician feedback and existing service knowledge to generate guided troubleshooting recommendations.

How does Trace2Fix improve technician productivity?

Trace2Fix helps technicians focus on relevant troubleshooting paths through dynamic test sequencing, fault correlation and guided recommendations.

Can Trace2Fix work alongside existing diagnostic tools?

Yes. Trace2Fix can complement existing diagnostic tools by using available diagnostic context and service knowledge to guide technicians through troubleshooting actions.

What business outcomes can OEMs target with this Solutions?

OEMs can target improvements in diagnosis efficiency, technician productivity, first-time fix potential, service readiness and turnaround time through connected and AI-guided diagnostic workflows.

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