SemAi · est. on sand · lot 2026-A

Your MES tracks every wafer.
We track every decision around it.

Enterprise AI built exclusively for semiconductors — read-first over the systems you already run.

Fab SMEs + AI engineers, one team 34 purpose-built products Every write human-gated
Industry challenges

Ten problems every semiconductor executive owns

Flip a card for the number — and the products that answer it.

01

Engineering complexity

As-designed, as-built, as-maintained — BOM graphs traced by hand.

Flip for the number

64,000 parts and 4,500 sub-systems in one non-litho tool; an EUV system exceeds 100,000.

Answered by
02

Build & lifecycle

Western fabs take nearly twice as long to reach first wafer.

Flip for the number

>50 months to wafer start in the US vs 28–32 in East Asia — and one month of schedule is worth $50–65M.

Answered by
03

Equipment downtime

Calendar-based maintenance guards tools worth $5M–380M each.

Flip for the number

$1M–10M+/hr of leading-edge downtime; a missing part makes tool-downs up to 6× longer.

Answered by
04

Yield excursions

Root cause is spreadsheet archaeology across MES ↔ FDC ↔ STDF.

Flip for the number

$100k–$10M+ per excursion; one 2019 material excursion scrapped >$550M in a single quarter.

Answered by
05

Supply-chain shock

Wafer slots, packaging and memory must be co-booked. No ERP models it.

Flip for the number

8 categories in simultaneous shortage (Q1 2026); CoWoS booked 52–78 weeks; HBM sold out.

Answered by
06

Compliance & documentation

Trade rules flip monthly; every shipment needs a determination.

Flip for the number

+140 Entity List parties since Dec 2024; the suspended BIS 50% Affiliates Rule auto-reinstates 10 Nov 2026.

Answered by
07

Service inefficiency

Dispatch runs on phone heuristics and veteran intuition.

Flip for the number

~65% first-dispatch accuracy vs 85%+ at leaders; ~1 in 3 tickets are remotely resolvable yet still roll a truck.

Answered by
08

Knowledge silos

The answer to “bonder error E-412” lives in one veteran’s head.

Flip for the number

42% of institutional knowledge is unique to one person; a third of US semiconductor professionals are 55+.

Answered by
09

Workforce shortage

Greenfield plants hire thousands of freshers; the playbooks live elsewhere.

Flip for the number

~1M additional skilled workers needed by 2030 (SEMI); engineers lose ~19% of their time just searching.

Answered by
10

AI adoption risk

Most enterprise AI pilots never touch the P&L.

Flip for the number

~95% of GenAI pilots deliver no measurable P&L impact (MIT NANDA) — the winners are deeply workflow-integrated.

Answered by

Verified strategy research, Jul 2026 — company filings · SEMI · SIA · McKinsey · SemiAnalysis · MIT NANDA

Why SemAi

Built for semiconductors. Not adapted to them.

Semiconductor DNA

1team

Fab SMEs + AI engineers, together.

Speaks lots · OEE · MTTR · 8D

Enterprise-grade AI architecture

100%of writes

Approved by a named human.

Read-first · deterministic · audit-native

A long-term partner

90days

Prove value, then scale on evidence.

Land small → gated autonomy
The platform

One platform. Seven suites. 34 products.

Every product answers a named pain — one data spine, one approval gate.

The full portfolio Explore all 34 products
Architecture

Five layers between your systems and your decisions

Five dies, one package. Flip any layer for what the CEO sees.

Read-first integration Deterministic engines set the numbers Audit-native
Explore the architecture →

five dies · through-silicon decisions · one package

Workflows

Your workflows, before and after

Eight workflows, rebuilt around governed agents — three previews.

Root-cause investigation

9 days

Spreadsheet archaeology across MES ↔ FDC ↔ STDF — while scrap compounds.

Hours

Ranked, evidence-cited hypotheses — the 8D drafts itself.

Engineering change

Days per notice

Every PCN/ECN traced by hand — while last-time-buy windows quietly close.

Minutes

Blast radius + revenue-at-risk per customer — disposition cycle −40%.

Equipment servicing

~65%

First-dispatch accuracy on phone heuristics — remotely-resolvable tickets still roll a truck.

Remote-first triage with cited fixes; parts and skill on the truck, first time.

First-dispatch accuracy, industry benchmark.

Digital Twin Lab — powered by DemoForgi

Prove it before you deploy it.

A synthetic twin of your operation, run forward in simulated time — AI agents earn autonomy there first.

  • 0rows of your data in the twin
  • L0 → L3autonomy earned in rehearsal, not granted
  • 100%of synthetic figures labelled SIMULATED
Enter the Digital Twin Lab
Simulated Substrate lead-time shock · OSAT twin
⚡ Lead time slips 14 → 22 wksABF substrate · supplier fab maintenance
Rehearseddual-source 70/30 · cover 9 → 13 wks
Unrehearsedsingle source · line exposed wk-46
Δ line-down risk −92% · $410k expedite avoided
Automated fab floor with a patterned wafer in the foreground and a glowing global network map overhead
Fig. 02 — your fab, twinned Rehearse on sand · deploy on silicon