Your AI agents are working.
They're just not working together.
SiliconBridge AI orchestrates multi-vendor AI across semiconductor development — bridging ALM, PLM, and EDA workflows in a single coordination layer.
Designed for automotive, aerospace, and advanced semiconductor programs
The coordination gap is costing you re-spins
Semiconductor teams have invested heavily in AI tooling. The problem isn't adoption — it's fragmentation.
Siloed AI Tools
Agents optimize locally. Few coordinate outside their boundaries. None see the full picture.
Knowledge Drain
When engineers leave, undocumented decisions go with them. Re-spin costs: $2–10M+ (industry estimates). Critical design rationale lives only in the heads of people who may not be here next quarter.
Broken Traceability
Requirements, tasks, and designs live in separate systems with no shared context. A change in week 1 creates a verification failure in week 40 — with no breadcrumb trail.
One coordination layer. Every AI tool.
SiliconBridge AI sits above your existing tools as an orchestration layer — not replacing them, but making them work as a unified system.
Open Standards (MCP + A2A)
Built on Model Context Protocol and Agent-to-Agent protocol. Interoperable with any compliant AI tool, no vendor lock-in.
Cross-Tool Orchestration
Route tasks between AI agents across Synopsys, Cadence, and Siemens tools. Resolve conflicts. Maintain global context.
ALM–PLM Bridge
Connect your ALM and PLM systems to your EDA environment. Requirements changes propagate automatically to verification tasks.
Institutional Knowledge Capture
Institutional knowledge from agentic tool usage is captured automatically — every design decision, dependency, and rationale, searchable across projects.
Quantifiable returns at every stage
From re-spin prevention to knowledge retention, SiliconBridge AI delivers measurable outcomes across the development lifecycle.
Automotive SOC — caught cross-tool conflicts before tape-out
New engineers productive in 3 weeks instead of 2 months
Requirement-to-test traceability eliminates redundant verification work
Cross-team dependencies surfaced before implementation, not after
Based on synthetic scenario modeling of automotive SOC development workflows. Actual results vary by program complexity and tool configuration.
Three steps to unified AI
Connect
Plug in your existing AI agents and tools via MCP or REST. No rip-and-replace. SiliconBridge AI works alongside your existing EDA, ALM, and PLM tools.
Setup time: hours, not monthsOrchestrate
The AI coordination layer resolves cross-tool conflicts, routes tasks to the right agents, and maintains shared context across your entire development workflow.
Runs continuously in the backgroundLearn
Institutional knowledge is captured automatically — every design decision, every rationale, every dependency. Accessible across projects, teams, and time.
Searchable knowledge graph, always currentWorks with your existing stack
SiliconBridge AI integrates with the tools semiconductor teams already use — from project management to EDA. Built on open protocols.
Task management & workflow tracking
AI-assisted chip design & verification
Agentic AI for chip design & verification
MCP-integrated verification platform
Model Context Protocol — agent-to-tool
Google's agent-to-agent coordination
Standard HTTP integration for custom tools
EDA integrations marked “Partnership” require vendor collaboration. Available through the SiliconBridge AI early access program.
The industry is at an inflection point
HTEC surveyed 250 semiconductor C-level leaders in 2025-2026. The data shows a widening gap between AI leaders and the fragmented majority.
of semiconductor companies still at fragmented AI adoption
believe they can scale AI rapidly within their organization
organizations fall behind competitors when they lag on AI adoption
The window is closing. Companies that coordinate AI across their workflows now will compound that advantage every quarter. Those that don't face a structural catch-up problem.
Source: HTEC, The State of AI in Semiconductors 2025–2026, survey of 250 semiconductor C-level leaders.
Request a Demo
We work with your team to configure integrations, define success criteria, and demonstrate measurable impact within 90 days — or we've failed our side of the deal.
No commitment. We'll respond within 24 hours.