Platform
ChipGPT is not application software. It is infrastructure—a governed intelligence layer that connects engineering data, orchestrates specialized agents, and compounds institutional knowledge across every tapeout program.
Operating Layer
Horizontal flow from EDA systems through the intelligence layer to structured agent outputs.
EDA Tools
Knowledge Graph
Domain Engines
Agent Orchestration
Structured Outputs
Governed pipeline · Permission gates at every handoff · Full audit trail
System Topology
Engineering applications consume structured outputs from a shared intelligence layer fed by connected data sources.
Engineering Applications
ChipGPT Intelligence Layer
Governed reasoning · Permission gates · Audit logging
Engineering Data Sources
Input
Engineering data flows upward into the intelligence layer
Output
Structured insights flow into specialized agents
Trust
Your data stays in your environment. You own it, you can export it anytime, and we don't train models on it — ever.
Operations Console
Visibility into agent activity, engineering threads, recurring patterns, and program continuity across your workflow.
Open Derivative Programs
3
this cycle
Verification Threads Tracked
12
open items
Recurring Patterns Flagged
7
review queue
Engineer-Hours Returned
—
institutional memory
Interface revision — spec and RTL sync pending
Design
Traceability matrix update — FMEDA review
Verification
Cross-program dependency resolved
Platform
Pattern matched against prior tapeout
Specification and RTL synchronized after interface revision
Traceability matrix updated against latest FMEDA review
Cross-program dependency flagged
Historical engineering decision surfaced
Program Continuity
Lifecycle Context
Outputs
Every agent produces cited, reviewable outputs. Engineers approve before any tapeout-critical action.
Verification Agent
Coverage Review — Interface Subsystem
REGRESSION RUN · build_8842 · subsystem review
Coverage gap identified in recovery-state bins
Pattern matched against prior tapeout closure log
→ Recommend directed tests aligned with historical closure approach
→ Traceability matrix references updated FMEDA artifacts
Sources: coverage.db, closure_log, verification_playbook
Failure Analysis Agent
Field Escalation — Thermal Event Review
ESCALATION · thermal event · customer program review
Failure mode correlated with documented errata record
Historical engineering decision surfaced from prior FA cycle
→ Recommended FA path references validated internal playbook
→ Cross-program dependency flagged for related derivative
Sources: errata_db, fa_history, program_knowledge_graph
Yield Learning Agent
Program Signal Review — Parametric Shift
YIELD LEARNING · parametric shift · program history review
Shift correlated with prior program learning record
Institutional context retrieved from earlier investigation
→ Hypothesis references validated cross-program pattern
→ Recommended review path preserves lifecycle continuity
Sources: yield_graph, program_history, knowledge_base
Engineering Knowledge Retrieval
Query — CDC Requirements for Async FIFO Bridge
QUERY · CDC requirements for async FIFO bridge crossing
Retrieved relevant artifacts from program knowledge base
→ Design rule reference surfaced with source citation
→ Prior closure approach retrieved from institutional memory
Sources: design_rules, rtl_review_archive, cdc_closure_log
Positioning
Purpose-built for silicon teams — not a general-purpose tool adapted after the fact.
Program-native learning
ChipGPT learns from your program's own history. Your data stays yours and private — we never train shared models on it.