One platform. Seven suites. 34 products.

One knowledge-graph spine for fab design and construction — every tool linked to its POCs, utilities, standards, documents and decisions, with AI agents on every gate, plus release↔PO↔need-date build alignment. Read-first over your BIM/CDE estate; write-back only via named-engineer approval.

Design ops runs at maturity ~2/5 even here: verification eats 60–70% of effort, EDA license spend is a black box, tapeout slips surface late. A telemetry-and-agents layer over your own exhaust — regression logs, coverage, license servers, Jira.

Standards and process windows treated as executable, not archival: recipes, SPC limits and operating states checked continuously against the current design and running fab. Simulation becomes governed evidence — every run pinned to its revision, stale results flagged.

Thousands of PCN/EOL notices a year, each traced by hand while 90–180-day last-time-buy windows close. Every notice is parsed and resolved against your BOM and qualification graph — blast radius across products, quals, WIP and customers, tuned for recall.

Greenfield plants hire thousands of freshers while the answer to “bonder error E-412 on QFN-48” lives in a veteran’s head. SOPs, travelers, MES/FDC history, e-logbooks and per-serial tool docs become grounded answers — every one cited, or it abstains.

A fab operations command center over your MES and FDC estate: live WIP with predicted cycle times, OEE accounting, an excursion feed ranked by value-at-risk, and a scenario twin for the what-ifs. Read-first — every write passes a named-human gate.

A yield excursion is a seven-figure event — one 2019 excursion scrapped $550M of wafers in a quarter. Wafer-map perception feeds a self-building genealogy graph; agentic RCA runs cross-stage over MES, FDC and STDF — ranked hypotheses, every claim cited.

OSAT margins run ~15–25% against foundry ~50%, yet thousands of package × test combinations are scheduled on Excel. A CP-SAT solver keeps a live horizon schedule; a sub-second dispatcher recommends the next lot. The planner approves; MES stays the record.

Calendar-based PM guards tools worth $5M–$380M each. FDC and sensor streams feed anomaly detection and remaining-useful-life estimates per failure mode — every alert an explicit economic decision, with the work order gated into SAP-PM.

Services run 22–35% of revenue at OEMs on tribal knowledge. Every ticket is triaged for remote resolution before a truck rolls; engineers get page-cited troubleshooting — plus an offline Engineer / 2 a.m. mode for legacy tools the OEM abandoned; every event is audited against entitlements.

Remote health, predictive maintenance and a per-serial digital twin for the installed base. Five connectivity tiers feed drift baselines and RUL models; anomalies arrive as one approvable package. Raw telemetry never leaves the fab’s data boundary.

First-pass yield on complex tool assemblies runs 85–90% — rework on machines priced $5M–$380M, while new-site ramps repeat the veterans’ apprenticeship. The traveler for a serial + configuration becomes interactive, cited, vision-verified steps at the clean bench.

SemAi schedules the fab — Tool Build AI schedules the people who build the tools. CP-SAT finite-capacity scheduling of engineer-to-order builds across clean bays, test stands and skill-certified crews, headless on your SAP: the solver proposes, the master scheduler publishes.

Every configured-tool quote is an engineering exercise run from experts’ heads — and in a supercycle, quote latency is lost share. A CP-SAT rulebase decides validity, a deterministic engine prices the quote-to-BOM; the LLM drafts the narrative, never the numbers.

A fab installs ~1,200 tools from 100+ vendors; hook-up alone runs $200–500k per tool. Every order becomes one live thread — build → FAT → ship → hook-up → SAT → SL1–SL3 — with slip propagation and self-assembling dossiers.

Service-parts demand is intermittent and install-base-driven — the canonical hard forecasting problem, run today on ERP min/max. Forecasts come from fleet age, utilization and PM waves; the whole echelon is optimized with SLA penalties priced in. Planners approve every change.

Agentic sales for used, refurbished and legacy tools, where every serial is the SKU: the per-serial asset graph — configuration, attested condition grade, provenance, jurisdiction — drives export-screened quotes, refurb-delta CPQ and flash-matched trades. Rides the shipped SalesI substrate.

Your ERP records the buy; nothing tells you the fair price. Semiconductor-native sourcing intelligence for the $0.5–3B tool program and nine hyper-concentrated commodity categories: should-cost on every quote, PO slips predicted early — cited, gated, read-first on SAP.

Qualifying a second source takes 6–18 months — in categories like ABF film with one effective source. Discovery, JEDEC/AEC-Q qualification projects and risk monitoring run as durable agents, so the second source exists before the crunch.

Where should the buffer live — wafer bank, die bank or finished goods? Solved stochastically across echelons and forms, MSL and shelf-life clocks automated per lot. When supply tightens: bank die now, finish to order — gated.

An entire fab arrives through customs — one missing annexure parks an etch cluster in bond. Import files assemble ICEGATE-ready, SEZ/bonded/AEO scheme logic applied, delay risk tracked per tool. The agent prepares; your licensed broker files.

Data incumbents describe parts; this acts on your BOM: price and lead-time foresight with regime detection, a live risk register per line, form-fit-function alternates always flagged “requires qualification”, counterfeit screening before any gated shortage buy.

A customer escape costs days of your scarcest engineers — under sub-PPM automotive expectations. 8D, CAPA and PPAP packs are drafted straight from the root-cause evidence trail; containment-to-closure runs on state machines. Cite-or-abstain, named approvals.

Takes a returned unit from RMA intake back through genealogy to its wafer, lot, tool and recipe; drives the FA-lab queue; classifies the mechanism; decides the highest-net-recovery disposition — and catches the epidemic cluster before it becomes a recall.

Aggregates field-failure populations — FA results, burn-in escapes, customer DPPM trends — into calibrated FIT/Weibull models per device, package and lot-window; catches drift against the qualified AEC-Q/JEDEC baseline; routes each learning to its lever: design, process, screen or derating.

The most trade-regulated goods on earth — entity lists +42 then +23 within a year. Classification is retrieval-first and cited; the order book re-screens the day a rule changes; declaration chases run as durable campaigns. Prepare, never auto-file.

Rolls every lot’s actual cost up from the floor — material, consumables, tool-time — yield-adjusted to cost-per-good-die, NRE amortized, take-or-pay loaded. Variance decomposes as a waterfall that sums exactly; margin by product and customer, live. SAP CO stays the record.

Validates every invoice against its cited contract terms and runs the semiconductor claims stack — ship-and-debit, price protection, rebates, POS, consignment, OTIF/LD penalties. The Promise Ledger turns a broken promise into an adjudicated penalty, fab evidence chain attached.

Nobody decides what to book — planning takes allocation as a given. Booked wafer, packaging and memory capacity becomes a portfolio of contracts and options: take-or-pay exposure projected into P&L, draw reconciled, ranked book/hold/release calls. You book; it never writes.

The referee, not a player: every recommendation tracked through identified → accepted → implemented → realized — flipping only on a matched ERP signal, a PO actually paid, credited against the would-have-happened counterfactual. Modelled and realized never blur.

Not another chart wall — a ranked feed of decisions worth money. The cross-suite spine becomes a CEO cockpit: recommendations ranked by value-at-risk × evidence, KPI tiles carrying evidence badges, a narrated “what changed this week” drilling to source records.

Planning in 2026 means co-booking wafer starts, CoWoS and HBM as one constraint — CoWoS booked out 52–78 weeks, HBM sold out. Demand and supply modeled against the real constraint set; shocks get costed scenarios in hours, not war rooms.

Order management runs over EDI and RosettaNet with SAP SD as the record — nothing reasons about it. Exceptions triaged across thousands of lines, promise dates served by Delivery AI’s ATP engine, fair-share administered with audited rationale. Every write passes a named gate.

A fab is a promise machine — it commits good die it hasn’t yielded yet. Four checks per promise — Available, Capable, Yielded, Profitable — logged to a Promise Ledger. It never bluffs: low confidence routes to a human.