Close-up of a computer chip or microprocessor with a gold and orange design, showing circuits and components on a circuit board.

From specification to tapeout — accelerated

Purpose-built AI agents that compress design cycles through automated RTL generation, formal verification, and pipeline-wide data analysis—reducing manual debug and functional verification time.

Our agents compress design cycles

Emergence's purpose-built agents automate RTL generation, formal verification, and pipeline-wide data analysis, ultimately reducing manual debug and functional verification time

Chip design automation
2–3x
Faster time-to-market with
Emergence agents

Problem Statement

Design & verification creates manufacturing bottlenecks, costing silicon, time, and competitive advantage

Our purpose-built agents tackle this challenge through automated RTL generation, formal verification, and pipeline-wide data analysis

14%

First-silicon success rate

Only 1 in 7 IC/ASIC projects achieve first-silicon success, meaning most chips require costly re-spins before they work as intended

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60-70%

Engineering time in verification

Nearly half of that is pure manual labor — repetitive, error-prone work that AI agents can systematically automate at scale

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75%

Projects behind schedule

3 of 4 projects miss their delivery targets, driven largely by unpredictable verification closure and debug cycles

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2-4x

More verification engineers than design

Verification teams vastly outnumber design teams, reflecting a structural imbalance that Emergence directly addresses through agentic automation

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End-to-end flow

From specification to tapeout

Emergence agents work across every stage of the chip design flow, from RTL through physical sign-off. Our agents automate verification, debug, and closure workflows with structured data artifacts flowing seamlessly between each stage.

Workflow

Specification & Architecture

RTL Design

Logic Synthesis

DFT Insertion

Floorplan & Placement

Clock Tree Synthesis

Routing

Physical Signoff

Tapeout

Built on domain fine-tuned models

Emergence agents are trained on semiconductor-specific data — not generic LLMs. They understand RTL semantics, timing constraints, and coverage models at a depth that enables real automation, not just assistance. Every artifact produced at each stage feeds forward into a unified knowledge layer, making downstream agents smarter with every run.

Data Fabric

Institutional memory captured through design artifacts

Each stage of the design flow generates critical artifacts, from RTL code and netlists to routed layouts and silicon measurements. Emergence aggregates all of it into a single, queryable fabric. This unified layer is what powers every agent across the pipeline. Emergence indexes and learns from your team's engineering knowledge to continually improve.

Design Intent

  • Specifications

  • Constraints

  • Assumptions

  • Assertions

Structure

  • RTL hierarchy

  • Netlists

  • Floorplans

  • Scan chains

Behavior

  • Waveforms

  • Coverage data

  • Timing paths

  • Activity factors

Outcomes

  • Failures and bugs

  • ECO history

  • Silicon yield

  • Field reliability

Institutional memory, systematically captured

Every debug session, every timing closure iteration, every waiver rationale — Emergence indexes and learns from your team's engineering knowledge, so insights are never lost when engineers move on.

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Verification & debug agents

Purpose-built agents for every workflow

Each agent is trained on domain-specific semiconductor data and optimized for real engineering workflows — not generic AI with a thin veneer.

RTL Code Generation

Generate synthesizable RTL from specifications. Supports Verilog, SystemVerilog, and VHDL, with bestpractice coding patterns and parameterized templates.

Verilog | SystemVerilog | VHDL

Functional Verification

Automate UVM testbench generation, stimulus creation, and coverage closure. Identifies coverage holes and assemble in seconds, not hours.

UVM | Coverage | Testbench

Formal Verification

Generate and validate assertions automatically. Identifies unreachable states, proves properties, and finds counterexamples for logic bugs before simulation.

SVA | PSL | Assertions

Timing Closure Debug

Analyze timing violations, suggest ECO fixes, and track closure progress. Integrates with STA tools to automate critical path analysis and iteration.

STA | Setup/Hold | ECO

DRC / LVS Check

Automate design rule checking and layout vs schematic verification. Categorizes violations by severity and recommends resolution strategies ranked by impact.

DRC | LVS | ERC

Fault Coverage

Optimize ATPG patterns for maximum fault coverage. Analyzes untestable faults & recommends BIST improvements to meet automotive and safety-critical standards.

ATPG | Scan | BIST

From issue to resolution

Emergence doesn't just surface insights, it executes complete workflows with human-in-the-loop oversight at critical decision points, closing the loop from detection to verified fixes.

Human-in-the-loop: Engineers approve critical decisions. Emergence handles the tedious, leaving humans to steer the important

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Closed-loop learning: Every resolved issue improves future triage accuracy and hypothesis quality across your entire design org

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EDA tool integration: Native integrations with leading EDA tools. Fits into your existing flows; no rip-and-replace required

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Triage

Automatically categorize and prioritize issues from regression runs, link, STA, or verification ranked by severity and timing impact.

1

Evidence

Gather relevant context: waveforms, prior bugs, design history, and related features and assemble in seconds,
not hours.

2

Hypothesis

Generate and rank hypotheses based on detected patterns specific to each node

3

Validation

Test hypotheses systematically against design constraints and historical data to
identify root cause.

4

Resolution

Propose targeted fixes with impact analysis, ready for engineer review and approval.

5