Archgen Labs GTM brain

Archgen Labs develops AI-assisted physical design and thermal analysis tools for semiconductor teams building advanced and 3D stacked chips.

category

AI semiconductor design automation

market profile

  • text: Stacked dies introduce interdependent timing, thermal, power and interconnect decisions across the complete system.
  • text: Established EDA vendors offer multi-die workflows and are adding AI and thermal analysis to their toolchains.

personas

  • title: Physical design lead
    pains:
    • Repeated timing, congestion and DRC failures consume engineer time across blocks.
    • Fixes must be validated in existing flows before signoff.
  • title: 3D IC architect
    pains:
    • Die partitioning and cross-die paths complicate power, performance and thermal tradeoffs.
    • Slow analysis limits the number of stack configurations explored before tapeout.
  • title: Semiconductor engineering executive
    pains:
    • Scarce physical design expertise and long iteration cycles put tapeout schedules at risk.
    • New automation must show measurable value without compromising IP protection or signoff quality.

icp

  • text: Fabless chip companies and internal silicon teams designing complex AI accelerators or other high-performance chips.
  • text: Foundries and semiconductor design partners developing multi-die or vertically stacked chips.
  • text: Physical design organizations with established EDA flows and enough iteration volume to measure improvements in closure time.

message pillars

  • text: Address physical design across a single die and a stack.
  • text: Analyze runs and carry successful fixes to subsequent blocks.
  • text: Optimize the whole 3D stack as one design.

objections

  • objection: Can an AI-generated fix be trusted for tapeout?
    response: Run a bounded evaluation on representative blocks and retain established verification and signoff procedures.
  • objection: Will it work with our incumbent tools and flows?
    response: Scope a pilot around actual run reports, scripts and access controls, then test compatibility before deployment.
  • objection: How reliable is accelerated thermal analysis?
    response: Compare predictions with the team's validated solver across representative designs and use detailed verification for signoff.

competitors

  • name: Cadence
    website: https://www.cadence.com/en_US/home/solutions/3dic-design-solutions.html
    why: Offers integrated 3D IC design and electrothermal analysis, plus AI design tools.
  • name: Synopsys
    website: https://www.synopsys.com/implementation-and-signoff/3dic-design.html
    why: 3DIC Compiler and electrothermal tools address multi-die implementation.
  • name: Siemens EDA
    website: https://www.siemens.com/en-us/solutions/electronic-design-automation/
    why: Offers physical design, 3D IC thermal analysis and agentic EDA workflows.

keywords

  • 3D IC physical design
  • AI chip design automation
  • chip thermal simulation
  • automated timing closure
  • macro placement optimization
  • multi die EDA tools
  • 3D chip thermal analysis

voice

  • Technical and engineer-focused
  • Confident and benchmark-led
  • Concise and problem-driven

signals

  • text: A chip team announces a 3D IC, chiplet or advanced packaging program.
  • text: A semiconductor group is hiring physical design engineers or reporting persistent timing and thermal closure bottlenecks.

stack

  • GPU-accelerated placement

pricing

model: unknown

motion

sales_led

channels

  • technical blog
  • LinkedIn
  • X
  • YC launch
  • partnerships

confidence

medium

Founders

  • name: Hariharan Ayappane
    title: Founder/CEO
    role: CEO
    bio: Co-founder at Archgen Labs
  • name: Naveen Venkat
    title: Founder/CTO
    role: CTO
    bio: Co-founder, CTO at Archgen AI (YC F26).

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