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Why PULSAR

The intelligence layer for your engineering

Tools you use show a piece — one domain, one phase, one component. None of them show how your system behaves holistically. PULSAR does.

Get started See the problem

The challenge

Why modern software programs struggle

01 · 04
The smarter your product,
the less you understand it.
Every new feature, every new supplier delivery, every new software version creates additional dependencies — many of them never documented. System complexity doesn't grow linearly, it grows exponentially. At some point, the system outgrows human-scale understanding capacity.

ROI calculator

What is your program cost of complexity?

Adjust your program parameters and compare direct costs of system-level bug analysis today versus the expected savings with PULSAR.

Your saving with PULSAR

EUR 113M

Across 1 program · 90% reduction in system-level bug analysis effort

Direct costs · system-level bug analysis only

Today With PULSAR
Per system-level bug EUR 180k EUR 18k
Per program (all bugs) EUR 126M EUR 13M
All programs EUR 126M EUR 13M

Today: cost of complexity

Program inputs · system-level bug analysis

12
20 days
EUR 750
700
1

With PULSAR: recoverable savings

Direct savings at 90% reduction in system-level bug analysis effort

Saved per program EUR 113M
Saved across 1 programs EUR 113M
90% Resolution cost reduction

Causal graph traversal replaces manual log inspection. Root cause isolated, not searched for.

Weeks → <1 day Time to root cause

Cross-domain bugs traced to origin in under one day. Development continues; sprints don't stop.

605 man-yrs Engineering capacity recovered

Recovered capacity redirected from firefighting to planned delivery.

Today: direct costs for system-level bug analysis & localization effort

Cost per bug

EUR 180k

Cost per program for bug analysis

EUR 126M

Total across all programs for bug analysis

EUR 126M

With PULSAR: direct costs for system-level bug analysis & localization effort

Cost per bug

EUR 18k

Cost per program for bug analysis

EUR 13M

Total across all programs for bug analysis

EUR 13M

Indirect costs

  • Delayed launches - Each month of delay can cost millions in lost revenue.
  • Recall risk - Software-related recalls can reach EUR 3M - EUR 50M+ per campaign.
  • Quality degradation - Undetected cross-domain bugs lead to customer-facing failures.
  • Engineering inefficiency - Up to 70% of time spent on debugging instead of innovation.
  • Expert bottlenecks - Critical knowledge trapped in 2-3 senior engineers.

Structural benefits

  • Earlier anomaly detection — behavioral deviations detected before they become incidents, reducing retest cycles and SOP risk.
  • Supplier escalation precision — one targeted ticket to the responsible component owner, replacing weeks of multi-party coordination.
  • Launch readiness evidence — fact-based quality gates from the Digital Twin, not manually compiled status reports.
  • Durable system knowledge — every resolved incident captured in the knowledge graph, building organizational memory across model years.

Market positioning

PULSAR learns from the only source that never lies — runtime behavior.

In complex systems, specifications, architecture documentation are incomplete, outdated, or inaccessible. Runtime behavior is the one input that always reflects what the system actually does.

Today

Requirements & Specifications Often outdated
  • Often too complex to be captured in a single document
  • Reflect design intent, not implemented reality
  • Fragmented across 100+ suppliers per program
Architecture Documentation Never current
  • Updated reactively — always lags implementation
  • Siloed per supplier, no cross-domain view
  • Diverges from the real system
Source Code IP-protection
  • Fragmented supply chains for software
  • Causing limited source code visibility across partners
  • Automated cross-delivery analysis is not possible

These problems are structural. Even with perfect documentations and processes, the integration problem will percist. In software-defined systems, converging software and hardware will always create unforseen anomalies.

Without PULSAR

1–4 weeks

Average time to root cause a cross-domain incident manually

With PULSAR

< 1 day

Same incident — AI causal analysis from runtime data only

Why it's possible

No documentation needed.

PULSAR reconstructs system understanding from the running system itself — the one source that always exists.

Why now

📈 Complexity outpaces humans

More features and suppliers mean more hidden dependencies than any one team can track by hand.

🧭 Data without a map

Logs and traces pile up, but they rarely answer “what caused this?” across domains and releases.

🧠 Knowledge stuck in heads

When a few experts are busy, everyone waits — tribal knowledge does not scale with the program.

⏱️ Weeks lost to firefights

Cross-domain bugs still burn calendar time; every week is budget and momentum you do not get back.

🛠️ Tools do not stitch the story

Each toolchain owns a slice of the V — none holds the runtime graph that explains system behaviour end to end.

🚀 First movers compound learning

Programs that capture causality early build durable digital twin memory; late starters replay the same fires.