SiliconBridge AI
Automotive SOC DashboardDemo
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Bug Resolution Time

14 days3 days

Gen 1 knowledge applied automatically

New Hire Onboarding

6 months6 weeks

AI-curated learning path

Impact Analysis

2 weeks2 hours

Cross-team change propagation

Cost Avoidance

$3.2M

Re-spin prevention

Schedule Improvement

4 Months

Verification acceleration

Quality Improvement

85%

Bug reduction

Team Efficiency

60%

Faster onboarding

Live Agent Activity3 active
1 conflict needs review
Thermal Analyst
Analyzing Gen 2 power domain thermal profiles
Active
Confidence92%
09:14:22Scanning Gen 1 thermal database...
Processing...
Verification Agent
Cache coherency test pattern migration complete
Completed
Confidence88%
08:52:10Loading Gen 1 cache coherency test suite (847 vectors)
08:52:34Adapting address space mapping for Gen 2 L3 configuration
08:53:01832 vectors migrated successfully. 15 require manual review
08:53:22Coverage delta analysis: +12.4% path coverage vs Gen 1 baseline
Knowledge Miner
Extracting onboarding paths for Lisa Zhang (Safety)
Active
Confidence90%
09:10:05New team member detected: Lisa Zhang, Safety Engineer
Processing...

Cumulative Cost Avoidance

Without SiliconBridge vs. with AI orchestration (Gen 2 project)

Gen 1 — ADAS
Completed · Knowledge Source
Completed
Jan 2022 – Mar 2024
Gen 2 — Enhanced ADAS
In Progress · AI Enhanced
65%
Apr 2024 – Dec 2025
0 AI recommendations applied
Gen 3 — Autonomous
Planning · 2026–2028
Planning
Jan 2026 – Oct 2027

Will leverage Gen 1 + Gen 2 knowledge base at project start

High Priority AI Recommendations

Critical insights from Gen 1 project analysis

Apply Gen 1 Thermal Management LessonsHigh

Gen 1 discovered that power sequence optimization in voltage domains 2-4 reduced hot spots by 15°C. Apply similar approach to Gen 2 design.

Impact: $3.2M re-spin cost avoidanceConfidence: 92%
Leverage Proven Cache Coherency Test PatternsHigh

Gen 1 test patterns caught 23 critical cache coherency bugs. Adapt these patterns for Gen 2's enhanced L3 cache architecture.

Impact: 4-month verification accelerationConfidence: 88%
ASIL-D Lockstep Core Redundancy PatternHigh

Gen 1 established a lockstep core redundancy pattern for ASIL-D compliance that reduced safety validation time by 35%. Directly applicable to Gen 2 secondary processing units.

Impact: 35% safety validation accelerationConfidence: 94%
Dynamic Voltage-Frequency Scaling Profile ReuseHigh

Gen 1 DVFS profiles for ARM Cortex-A78 clusters are 78% compatible with Gen 2 cluster configuration. Reusing calibrated profiles prevents 6-week power characterization cycle.

Impact: 6-week schedule compressionConfidence: 87%

ROI Calculator

Estimate your annual savings based on team size and project profile

Live Estimate
Your Project Profile
Adjust sliders to match your team
Engineering Team Size20 engineers
550
SOC Projects per Year2 projects
15
Avg Re-spin Cost$4M
$1M$10M

Estimated Annual Savings

$5.1M

Re-spin Avoidance

$4.0M

1.0 re-spins prevented

Schedule Savings

$1.1M

16 weeks recovered

Break-even Timeline

Time to recover platform investment

1mo

at current savings rate

Based on industry averages: 50% re-spin prevention rate, 8-week schedule improvement per project

▶Integration Status — Jira, ALM, Questa One

Integration Status

Live sync with Jira, ALM tools, and verification tools

Jira
Connected

12

tickets synced this week

Last sync: 2 min ago

Requirements Management
Connected

8

requirements traced

Last sync: 5 min ago

Questa One
Connected

3

verification runs active

Last sync: 1 min ago

Agent-Created Jira Tickets
Tickets automatically created from AI agent recommendations — click any ticket to see the source agent
Requirement Traceability
Click any requirement to see the full traceability chain from requirement to verified result