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Manufacturing EngineeringTop 10 Best Automotive Engineering Services of 2026
Rank top automotive engineering services with a research-style list of providers like IAV, FEV, and SEGULA for engineering teams.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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IAV is the best pick for powertrain and electronics programs where you need interface-heavy architecture and functional-safety engineering backed by interface-level testing evidence, while Akkodis fits when OEM or supplier teams want integrated delivery across E/E and software under tight release gates.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
IAV
Safety-focused technical concept engineering that ties architecture decisions to traceable evidence for vehicle integration.
Built for fits when OEM or tier-one teams need architecture and functional-safety engineering for interface-heavy vehicle programs..
FEV
Editor pickSafety-oriented requirements and system-level engineering work that connects architecture decisions to verification artifacts.
Built for fits when vehicle programs need cross-domain engineering execution with traceable safety evidence..
HORIBA MIRA
Editor pickIntegrated hardware-in-the-loop and vehicle network simulation that links system integration questions to measurable results.
Built for fits when vehicle programs need test-driven systems integration and validation evidence, not only design reviews..
Comparison Table
IAV
specialistIAV provides automotive engineering for powertrains, vehicle electronics, software, systems, and testing.
Safety-focused technical concept engineering that ties architecture decisions to traceable evidence for vehicle integration.
IAV supports large-scale engineering engagements that start with system and interface definition and continue into verification planning and technical concept refinement. Work commonly maps vehicle-level objectives to traceable requirements and hazard-oriented reasoning outputs that can feed safety artifacts. The service footprint also covers electrical and software interface definition across networked components, plus integration planning for simulation and test artifacts.
A tradeoff is that IAV engagements usually require strong input from the client on program scope, interface contracts, and safety assumptions to avoid rework during downstream validation. A typical usage situation is an OEM or supplier needing architecture and functional safety engineering support for a derivative vehicle program with constrained integration windows.
- +Requirements-to-safety concept linkage supports traceable architecture decisions
- +Strong interface engineering for E/E and networked ECU integration
- +Validation planning connects architecture work to test evidence
- +Experience with safety-relevant engineering artifacts reduces integration risk
- –Engagements depend on client-ready interface contracts to prevent rework
- –Integration scope can feel heavy for small, narrow proof-of-concept projects
- –Coordination overhead rises when requirements and assumptions are unstable
OEM vehicle program teams
Derivative architecture with safety-driven integration
Faster interface stabilization
Tier-one E/E architecture leads
ECU interface definition across networks
Fewer late integration defects
Show 2 more scenarios
Functional safety engineering managers
ISO 26262 work products for release
More defensible safety arguments
Produce safety-oriented reasoning and technical concept outputs tied to system design decisions.
Vehicle simulation program owners
Networked behavior validation planning
Better coverage before build
Connect system architecture and interfaces to simulation and test evidence strategy.
Best for: Fits when OEM or tier-one teams need architecture and functional-safety engineering for interface-heavy vehicle programs.
FEV
specialistFEV delivers automotive engineering for powertrains, electric vehicles, software, systems, and testing.
Safety-oriented requirements and system-level engineering work that connects architecture decisions to verification artifacts.
FEV targets automotive organizations that need engineering work spanning vehicle architecture choices, electrical and electronic architecture integration, and safety case preparation for standards-aligned documentation. The engagement pattern fits teams coordinating multiple disciplines, since FEV can map requirements to system behavior and support downstream verification planning. A typical fit signal is the need to cover both technical safety documentation and engineering execution that turns that documentation into buildable interfaces.
A tradeoff appears when internal teams mainly need narrow execution support for a single component, because FEV’s value concentrates in cross-domain systems scope rather than isolated tasks. FEV is a strong option for a program migrating architecture decisions into vehicle network simulation and hardware-in-the-loop test campaigns, where integration boundaries and traceability matter. This works best when stakeholders want engineering artifacts that can be carried into safety and compliance evidence workflows, not just standalone analysis reports.
- +Cross-domain systems scope ties vehicle architecture decisions to test strategy
- +Safety-focused engineering outputs support traceable technical reasoning across workstreams
- +Hardware-in-the-loop and network simulation integration supports practical validation
- –Requires strong internal interfaces to benefit from cross-domain integration depth
- –Less suited to narrow, single-component tasks without broader program context
- –Engagement setup can be heavier for teams without established requirements traceability
Vehicle architecture engineering teams
E/E architecture integration with traceability
Fewer integration surprises
Functional safety program leads
Technical safety concept to verification
Tighter safety-to-test alignment
Show 2 more scenarios
Embedded software integration teams
Software-defined behavior validation planning
Earlier defect discovery
Connects software behavior requirements to HIL and vehicle network simulation workflows.
Cybersecurity engineering leads
Security requirements tied to vehicle functions
Clearer implementation boundaries
Integrates security-relevant constraints into architecture decisions and interface planning artifacts.
Best for: Fits when vehicle programs need cross-domain engineering execution with traceable safety evidence.
HORIBA MIRA
specialistHORIBA MIRA provides automotive engineering, proving-ground testing, vehicle validation, and certification support.
Integrated hardware-in-the-loop and vehicle network simulation that links system integration questions to measurable results.
HORIBA MIRA supports automotive engineering projects that require both engineering design work and measured validation in controlled environments. The delivery model matches engagements where electrical and software integration risks must be reduced through test-backed iteration across the vehicle lifecycle. The testing footprint is typically used to produce repeatable results for system behavior, interface behavior, and on-road relevant behaviors. This fit is strongest for programs with staged release plans that need validation gates and clear technical outputs.
A tradeoff is that outcomes depend on tight problem definition and access to the right test inputs for the chosen validation tracks. HORIBA MIRA is a strong choice when schedules require facility-backed throughput and when stakeholder teams want fewer handoffs between design and verification.
- +Facility-backed validation reduces integration uncertainty before build-off decisions
- +Hardware-in-the-loop and network simulation support repeatable system-level checks
- +Strong alignment between engineering deliverables and evidence-ready validation
- +Experience covering vehicle architecture integration challenges across domains
- –Requires upfront test planning to map engineering questions to facility capabilities
- –Engagement scoping can become complex when multiple subsystems need concurrent test tracks
Vehicle program engineering teams
De-risk system integration across ECU interfaces
Fewer integration escapes
Functional safety leads
Generate safety evidence across vehicle functions
Clearer safety case support
Show 1 more scenario
Electrical and software architecture teams
Validate communication behaviors in simulated networks
More predictable integration
Vehicle network simulation checks message interactions and diagnostics behavior under controlled conditions.
Best for: Fits when vehicle programs need test-driven systems integration and validation evidence, not only design reviews.
Akkodis
enterprise_vendorAkkodis provides automotive engineering and technical staffing for electronics, software, systems, and manufacturing.
Interface-to-validation execution that connects hardware-software boundary decisions to integration test outcomes.
Akkodis delivers automotive engineering services that center on product development delivery, from concept and requirements into integration and validation workstreams. Teams commonly engage Akkodis for embedded software and electrical and electronics engineering tasks that connect vehicle architecture choices to implementation details.
The company also supports verification activities that cover both hardware and software interfaces and the methods needed to reduce integration risk before release. Akkodis is distinct in how it maps engineering scope to delivery execution across multiple disciplines rather than positioning a single narrow competency.
- +End-to-end delivery across embedded software and electrical systems integration
- +Practical support for interface definition between hardware and software
- +Validation-focused execution that targets integration risk before release
- +Multi-discipline teams that map requirements work to engineering output
- –Governance and traceability processes require disciplined intake and review
- –Deeper API and automation tooling is not the primary interaction model
- –Coverage depends on project staffing for specialized safety and cybersecurity tasks
- –Modeling depth varies by assignment and requires defined templates
Best for: Fits when OEM or supplier programs need integrated engineering delivery across software and E/E workstreams under tight release gates.
Luxoft
enterprise_vendorLuxoft delivers automotive engineering for embedded software, digital cockpits, ADAS, connectivity, and vehicle platforms.
Integration-focused delivery with traceable work packages that bridge software development and vehicle test readiness.
Luxoft delivers automotive engineering services across software, embedded, and systems delivery for vehicle programs with complex integration needs. The differentiator is end-to-end project execution that connects E/E architecture work, feature development, and integration into test-ready increments.
Delivery is typically organized around engineering work packages, with traceable artifacts that support requirements and verification workflows. Luxoft also contributes to vehicle cybersecurity and safety-oriented engineering activities when programs require structured compliance evidence.
- +Works across embedded software, vehicle integration, and engineering validation artifacts
- +Adapts delivery structure to program-level traceability and verification workflows
- +Supports safety and security engineering inputs tied to development milestones
- +Maintains engineering continuity from feature work through integration and testing
- –Governance and documentation rigor varies by team unless standardized early
- –Complex E/E changes may require additional internal program coordination
Best for: Fits when OEM or tier teams need multi-discipline engineering delivery tied to integration and test evidence.
Expleo
enterprise_vendorExpleo provides automotive engineering, testing, quality assurance, systems integration, and manufacturing services.
Cross-phase traceability execution that links requirements, safety work products, and verification evidence into a single program delivery cadence.
Expleo provides automotive engineering services focused on end-to-end delivery across vehicle programs, from requirements and systems work to verification support and operations readiness. The company is distinct for combining domain engineering with delivery governance at program level, which reduces handoff risk between planning, analysis, and execution.
Expleo’s core capabilities commonly cover systems engineering, functional safety and cybersecurity engineering, and test strategy support for complex vehicle and software integration. It also supports homologation-oriented documentation and traceability artifacts needed for cross-team acceptance in automotive delivery cycles.
- +Program governance supports cross-team traceability from requirements to test evidence
- +Functional safety and cybersecurity engineering delivery on real vehicle program backlogs
- +Systems engineering engagements that address hardware-software interface constraints
- +Homologation-oriented documentation support for multi-stakeholder signoffs
- –API and automation surface is not a primary offering for toolchain integration
- –Delivery quality depends on client-provided requirements baselines and access
- –Modeling artifacts can require internal MBE process alignment to be reusable
- –Resource continuity across phases may vary between project staffing decisions
Best for: Fits when automotive programs need outsourced engineering execution with strong program governance and traceability controls.
Capgemini Engineering
enterprise_vendorCapgemini Engineering provides automotive product engineering for software, electronics, systems, and industrial operations.
Cross-domain requirements traceability from system models into verification and safety evidence packs for vehicle programs.
Capgemini Engineering differentiates through large-scale automotive delivery that links systems work with software engineering and industrialization programs. Its core capabilities cover requirements engineering, model-based systems engineering, and functional safety workstreams that feed verification and integration plans.
Delivery depth is strongest when programs need cross-domain coordination across vehicle architecture, electrical and software interfaces, and validation environments. Execution quality is typically best assessed by how well Capgemini teams establish traceability artifacts and automation into engineering workflows.
- +Strong requirements traceability support across safety and verification artifacts
- +Experienced integration of E E interface work into system and software planning
- +Model-based systems engineering delivery suited for complex architecture programs
- +Industrialization and testing workflow support for HIL and vehicle network simulation
- –Project governance artifacts add process overhead to smaller teams
- –Automation depth can depend on toolchain choices and client integration
- –API-first extensibility is not the primary delivery surface for most engagements
- –Hand-off quality varies by program staffing and offsite coordination
Best for: Fits when large OEM suppliers need end-to-end systems and safety delivery with traceability into verification planning.
ALTEN
enterprise_vendorALTEN provides automotive engineering services for embedded systems, electronics, mechanical design, and validation.
Cross-functional staffing that links engineering artifacts to validation planning and closure, including safety and security work products.
ALTEN supports automotive engineering projects that typically span systems definition, embedded software development, and verification activities. The service delivery model favors integrated program staffing across disciplines rather than narrow task outsourcing.
The vendor’s strength shows up where requirements must be traced into architecture decisions and then into test readiness work, including safety and security-oriented analyses and documentation. Teams can bring mixed expertise into one delivery cadence when the program includes hardware and software interfaces.
Ease of use depends on how well customer stakeholders define acceptance criteria and interface ownership early. When governance is established, ALTEN can map engineering output into verification plans without forcing the customer to stitch multiple vendor threads together.
- +Multi-domain project staffing across systems, software, and validation tasks
- +Experience translating safety and security requirements into engineering work products
- +Model-to-test execution support for vehicle development programs
- +Clear interfaces between engineering deliverables and test readiness activities
- –Project governance maturity matters for efficient cross-team delivery
- –Less specialized for standalone automation work without embedded engineering tasks
Best for: Fits when OEM or tier teams need multi-domain execution across requirements and verification.
Bosch Engineering
specialistBosch Engineering develops vehicle systems, electronics, powertrains, safety functions, and connected mobility solutions.
Diagnostics engineering and integration support that ties vehicle network behavior to embedded software validation workflows.
Bosch Engineering supports automotive engineering execution that connects vehicle and powertrain electronics with embedded software integration work.
Workstreams commonly include system and interface coordination across engineering, diagnostics, and validation handoffs.
- +Engineering delivery covers electronics integration and embedded software coordination
- +Structured interface management supports multidisciplinary vehicle and powertrain work
- +Diagnostics-focused engineering supports validation and integration readiness
- +Cross-domain teams reduce rework between system design and test execution
- –Less suited for purely software-only teams that avoid hardware interface work
- –Program governance load can be heavy for clients without strong requirements ownership
Best for: Fits when OEM or Tier teams need disciplined hardware-software integration across vehicle subsystems and validation.
AVL
specialistAVL provides vehicle development, propulsion, electrification, testing, and simulation engineering services.
Large-scale vehicle and powertrain engineering delivery that links architecture work to verification planning and test execution.
AVL is an automotive engineering services firm known for model-driven vehicle and powertrain development plus validation engineering. It supports requirements and system work that tie architecture decisions to testing artifacts across vehicle functions and driveline subsystems.
AVL also contributes across electronics and software integration activities such as E/E architecture studies and functional behavior definition for later verification. The delivery model centers on engineering teams that can join client workflows for vehicle programs, rather than only producing documents.
- +Engineering teams connect architecture decisions to validation test scopes
- +Breadth across powertrain and vehicle systems reduces cross-vendor handoffs
- +Strong focus on engineering workflow artifacts for later integration
- +Experience with safety and compliance-driven development constraints
- –Automation and API surfaces are not the primary integration interface
- –Engagement success depends on client-provided engineering context and data quality
- –Tooling specifics vary by project scope and may require alignment workshops
- –Less suitable when only software platform integration is required
Best for: Fits when vehicle programs need integrated systems engineering plus validation artifacts across multiple domains.
Conclusion
After evaluating 10 manufacturing engineering, IAV stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right automotive engineering
Automotive engineering services cover architecture decisions, interface engineering, and validation evidence across vehicle programs, not just design documents. This guide compares IAV, FEV, HORIBA MIRA, Akkodis, Luxoft, Expleo, Capgemini Engineering, ALTEN, Bosch Engineering, and AVL based on how they connect engineering work to integration and safety outcomes.
The providers differ most in integration depth, interface-to-validation execution, and the way governance and traceability affect delivery cadence. IAV and FEV lead on safety-linked traceability between architecture choices and verification artifacts. HORIBA MIRA differentiates through facility-backed hardware-in-the-loop and vehicle network simulation that turns integration questions into measurable validation results.
Automotive engineering services that connect vehicle architecture, safety evidence, and integration validation
Automotive engineering is the end-to-end engineering work that turns vehicle architecture and cross-domain interfaces into testable requirements, integration plans, and evidence. It includes functional safety work that ties architecture decisions to traceable safety reasoning, plus system-level execution that links those decisions to verification artifacts.
IAV emphasizes safety-focused technical concept engineering that connects vehicle integration decisions to traceable evidence. FEV pairs cross-domain systems scope with safety-oriented requirements and system engineering outputs that support verification strategy across workstreams. HORIBA MIRA shifts the emphasis toward test-driven integration by combining hardware-in-the-loop and vehicle network simulation to validate system behavior before build-off decisions.
Automotive engineering capabilities that control integration and safety outcomes
Automotive engineering services succeed when they turn architecture decisions into traceable evidence that supports vehicle integration and verification readiness. IAV and FEV lead with safety-linked traceability that ties architectural work to verification artifacts across program workstreams.
Integration delivery quality also depends on how services connect interface decisions to measurable system behavior. HORIBA MIRA differentiates with facility-backed hardware-in-the-loop and vehicle network simulation that turns system integration questions into validation results.
Safety-linked traceability from architecture to verification
IAV ties architecture choices to traceable evidence for vehicle integration through safety-focused technical concept engineering. FEV connects architecture decisions to verification artifacts through safety-oriented requirements and system-level engineering outputs.
Cross-domain engineering execution that preserves integration context
FEV pairs cross-domain systems scope with test strategy support so safety evidence stays consistent across workstreams. Luxoft bridges embedded software and vehicle integration with traceable work packages that match program-level verification readiness workflows.
Test-driven integration validation using HIL and vehicle network simulation
HORIBA MIRA uses hardware-in-the-loop and vehicle network simulation to reduce integration uncertainty before build-off decisions. Akkodis connects hardware-software boundary interface decisions to integration test outcomes for end-to-end delivery across embedded software and electrical systems integration.
Program governance and traceability cadence across requirements to evidence
Expleo supports cross-phase traceability execution that links requirements, safety work products, and verification evidence into a single program delivery cadence. Capgemini Engineering provides requirements traceability from system models into verification and safety evidence packs for vehicle programs.
Embedded execution planning that closes engineering to validation closure
ALTEN delivers cross-functional staffing that links engineering artifacts to validation planning and closure for safety and security work products. Bosch Engineering connects electronics integration and embedded software coordination through structured interface management tied to diagnostics engineering and embedded software validation workflows.
How to choose automotive engineering services by integration model and evidence control
The selection starts with the delivery mode that matches the program’s current bottlenecks. If safety-linked evidence and interface-heavy integration are driving rework risk, IAV and FEV align better because they connect architecture decisions to traceable verification artifacts.
The second decision focuses on whether integration uncertainty is best reduced through facility-backed execution or through interface-to-validation workflow governance. HORIBA MIRA and Akkodis reduce uncertainty by mapping questions to measurable system checks, while Expleo and Capgemini Engineering prioritize governance and cross-phase traceability cadence.
Pick safety-evidence ownership depth based on your integration interface maturity
Choose IAV when the program needs safety-focused technical concept engineering that links integration decisions to traceable evidence and supports interface-heavy vehicle integration. Choose FEV when the program needs safety-oriented requirements and system-level engineering that connects architecture choices to verification artifacts across cross-domain workstreams.
Choose facility-backed validation versus interface-to-validation delivery
Choose HORIBA MIRA when integration questions must be answered through hardware-in-the-loop and vehicle network simulation tied to measurable validation results before build-off decisions. Choose Akkodis when the program wants interface-to-validation execution that connects hardware-software boundary decisions directly to integration test outcomes.
Select governance-first execution when evidence must stay consistent across teams
Choose Expleo when the delivery must enforce program governance that creates cross-team traceability from requirements to test evidence across a real vehicle program backlog. Choose Capgemini Engineering when system models must flow into verification and safety evidence packs with requirements traceability that supports verification planning.
Match the staffing model to your need for embedded engineering-to-closure alignment
Choose ALTEN when multi-domain execution needs staffing that translates safety and security requirements into engineering work products and connects artifacts to validation planning and closure. Choose Bosch Engineering when disciplined electronics integration and embedded software coordination are required with structured interface management and diagnostics engineering support.
Avoid mismatches caused by thin context or unsupported integration scope
Avoid selecting IAV or FEV for narrow single-component work when client-ready interface contracts or broader program context are missing and would slow integration delivery. Avoid selecting AVL for teams that require automation and API surfaces as a primary integration interface because AVL’s integration focus centers on engineering breadth and validation planning rather than toolchain extensibility.
Who should buy automotive engineering services
Automotive engineering services fit organizations that need engineered evidence, not just design documentation. The right provider depends on whether the program bottleneck is safety traceability, interface-to-validation execution, or test-driven integration validation.
The providers in this list also differ in how they depend on client interface readiness and how they distribute program governance across teams. Selecting the correct delivery model reduces rework and prevents integration delays caused by evidence gaps.
OEM and tier-one teams running interface-heavy vehicle programs
IAV and FEV focus on safety-linked traceability that ties architecture decisions to verification artifacts and supports interface-heavy E/E and networked ECU integration.
Teams that treat integration uncertainty as a validation problem
HORIBA MIRA supports repeatable system-level checks using hardware-in-the-loop and vehicle network simulation, which reduces build-off risk when measurements must drive decisions.
Programs with release gates across embedded software and electrical systems integration
Akkodis provides end-to-end delivery across embedded software and E/E workstreams and emphasizes interface definition between hardware and software under tight release gates.
Organizations that must outsource engineering while enforcing traceability cadence
Expleo is built for program governance that maintains cross-phase traceability from requirements to test evidence, which helps when multiple teams must stay aligned on safety outcomes.
Large supplier programs that need system-model to evidence-packet traceability
Capgemini Engineering supports requirements traceability from system models into verification and safety evidence packs, which fits programs that rely on model-driven verification planning.
Common pitfalls when buying automotive engineering services
Buying mistakes usually come from selecting by broad engineering scope instead of evidence linkage and integration workflow fit. The providers here can differ sharply in how much client interface readiness they require and whether their delivery model centers on governance or measurable test execution.
Another common issue is expecting automation and API surfaces to be the primary integration interface when the provider’s core work is embedded engineering delivery and traceable work package execution.
Assuming safety traceability works without client-ready interface contracts
IAV’s delivery depends on client-ready interface contracts to prevent rework, and FEV also benefits from strong internal interfaces to unlock cross-domain integration depth.
Choosing a provider with insufficient validation mapping for integration uncertainty
HORIBA MIRA requires upfront test planning to map engineering questions to facility capabilities, and Akkodis requires disciplined intake and review so interface decisions translate into integration test outcomes.
Overlooking governance overhead on smaller programs
Capgemini Engineering and Expleo emphasize governance and traceability cadence, which can add process overhead when program governance artifacts are not already aligned with delivery workflows.
Expecting automation and API surfaces to be a primary interaction model
Expleo and AVL are not positioned around toolchain extensibility as a primary integration interface, and Akkodis explicitly is not centered on deeper API and automation tooling as the main interaction model.
Selecting based on software-only needs when the work depends on hardware integration
Bosch Engineering focuses on diagnostics engineering and disciplined hardware-software integration, and it is less suited for purely software-only teams that avoid hardware interface work.
How We Selected and Ranked These Providers
We evaluated integration depth and traceability outcomes across safety-linked architecture work and verification evidence linkage. We scored features at 40% because IAV’s requirements-to-safety concept linkage tied to traceable architecture decisions scored highest for interface-heavy vehicle integration.
We weighted ease and value at 30% each because FEV’s cross-domain systems scope with verification-artifact outputs and HORIBA MIRA’s facility-backed HIL and network simulation reduced integration uncertainty. We ranked IAV above FEV by combining evidence linkage strength with interface engineering impact on vehicle integration, which made safety-focused technical concept engineering connect to closure planning more directly.
Frequently Asked Questions About automotive engineering
How do ALTEN and Expleo differ in end-to-end delivery from requirements through verification?
Which provider fits programs where safety evidence must tie architecture choices to traceable validation artifacts?
How do integrations and APIs typically affect automotive engineering delivery, and who handles them more explicitly?
When a program needs vehicle network simulation tied to measurable results, which firm is the closer match?
What breaks if requirements traceability is weak between vehicle models, safety work products, and verification evidence?
Where does HORIBA MIRA tend to fall short compared with IAV when programs prioritize architecture concept work under functional-safety scrutiny?
How do RBAC and audit logs show up in engineering governance for these service providers?
When onboarding requires data migration into an engineering data model and schema, which provider typically handles that work cadence better?
Which provider is best for disciplined hardware-software integration when diagnostics engineering must map to embedded software validation workflows?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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