Automotive · SDV programs

The integration surface of a modern SDV platform has outgrown every tool built to manage it.

PULSAR is the AI intelligence layer built specifically for the supplier architecture and development complexity of software-defined vehicle programs — from OEM domain integration to Tier-1 delivery validation.

<1 day Root cause across OEM, Tier-1, and Tier-2

-90% Time spent to firefighting & coordination

Continuous Behavioral twin from every CI and integration run

Product visual: system map, integration graph, or cockpit screenshot (placeholder).

Automotive · SDV Lifecycle

Who works on what — and where PULSAR delivers value.

Every phase of an SDV program carries distinct roles, pressures, and failure modes. PULSAR operates across all of them from one continuously updated model.

Cross-Domain Integration

Phase 03

System Integration

Phase 01 · System Architecture

The architecture is defined.
The real dependencies are not.

Decisions made here create integration risks that will be invisible for years. No tool reconstructs the dependency graph that will actually emerge at runtime.

PULSAR Ingests topology, interface matrices, and AUTOSAR specifications. Builds the Static Twin as a queryable baseline — before a single line of code is integrated.

Phase 02 · Software Development

Software grows. Dependencies multiply.
Documentation doesn't keep up.

Every sprint and every Tier-1 delivery widens the gap between specified architecture and what is actually being built. Engineers work from outdated specifications.

PULSAR Continuously ingests component specifications and CI traces. Expands the Digital Twin per sprint. Flags deviation between planned and implemented dependencies.

Phase 03 · System Integration

Cross-domain failures appear.
Nobody knows which component owns them.

Tier-1 black boxes arrive at different cadences. OEM domains integrate simultaneously. Failures span supplier boundaries — no existing tool sees all of it.

PULSAR Ingests integration traces from all domains. Builds Dynamic Twin. Traverses causal graph across OEM/Tier-1/Tier-2 boundaries to origin node. Issues one targeted ticket.

Phase 04 · Validation & Testing

Anomalies are detected late.
Regression from new drops is invisible.

Regression from a new Tier-1 drop may not surface for days. Identifying whether it is new or known requires manual comparison across hundreds of previous runs.

PULSAR Learns baseline from healthy runs. Scores every new test cycle per component. Flags deviation automatically and cross-references against known failure patterns.

Phase 05 · Pre-SOP Gate

Launch decisions made from
status reports, not system evidence.

Is the system actually ready? Today that question is answered through supplier self-reporting and manually compiled decks — not observed runtime behavior.

PULSAR Generates a health surface across all domains from accumulated Digital Twin data. Delivers open anomaly summary by component and supplier tier for the gate decision.

Phase 06 · Post-SOP & Field

Field issues arrive without
a causal path back to development.

Warranty diagnosis requires reconstructing causal chains from field data — often with incomplete logs. Systemic patterns accumulate before anyone detects them.

PULSAR Carries the development-phase Digital Twin into field operation. Delivers structured diagnosis paths to service engineering. Identifies systemic patterns before recall scale.

Roles active in this phase

Data & Supplier Boundaries

Full system transparency — without touching anyone's IP.

PULSAR observes how components communicate — what they send, receive, and trigger at the integration boundary. It does not require, access, or store source code from any supplier tier. A Tier-1 contributing a black-box binary exposes nothing proprietary by allowing PULSAR to observe its behavior on the integration bus.

Data scope, ingestion boundaries, and access rights are defined together with your engineering and security teams before any data flows. Each workspace is logically isolated per customer and program.

Built by operators who lived the complexity firsthand.

Every part of PULSAR is shaped by the experience of former SDV program leaders who spent years operating complex OEM and Tier-1 program deployments.

Numbers that belong on an SDV program review

Context your steering committee already lives in — now tied to what PULSAR changes.

Platform scale 150+

Software subsystems on a modern SDV platform.

Dependency surface 11,000+

Possible dependency combinations at ~150 integration nodes.

Integration tax 30–50%

Of SDV development effort spent on cross-system integration.

Quality signal 55%

Vehicle quality complaints linked to software (J.D. Power 2022).

Recall economics €3M–€50M+

Software-related recall cost per campaign (indicative range).

Time to root cause <1 day

With PULSAR causal tracing vs. 1–4 weeks manual cross-domain investigation.