Microscopic view of high-density semiconductor chiplet interconnects

The Operating System for Chiplet Manufacturing

Computational physics for substrate-agnostic advanced packaging (glass, organic ABF, silicon interposer, ceramic). Impedance, isolation, yield, and design signoff — validated against four independent solvers. One API. One audit trail.

diamond

Only parameterized glass-TGV PDK in existence

Cadence Sigrity, Ansys HFSS, Synopsys, and Mentor have no glass substrate support. HFSS adds glass in 2026 roadmap; Sigrity Q4 2026. ChipletOS ships today with 4 substrate classes + 21 materials, 6.75M-row group-disjoint corpus, and route-backed signoff.

waves

ChipletOS Photonic Signoff (alpha)

Sister sub-brand. Silicon-photonics IC signoff under the same validation suite as the chiplet stack — 6 primitives (waveguide / MZI / MMI / ring / grating / photonic crystal), 40 total /v1/photonics/* surface incl. PROV4 RF, AIM-Photonics-class DRC, AI surrogate live for 5 of 6 primitives at R² ≥ 0.99 vs reference solver; waveguide on closed-form analytical fallback. One platform, two markets. Try the live waveguide predictor.

fact_check

4-solver cross-validated

BEM + FastHenry2 + OpenEMS + Palace FEM converge on Z₀ across 25 signoff geometries. 4.0% mean abs error vs 6 IEEE-published references. Palace full-wave FEM provides independent cross-physics truth (100 runs across 28–200 GHz). No EDA vendor offers a 4-solver witness matrix.

verified

290 production /v1 routes · audit-grade lineage

11 file-ready patent bundles, 39 retractions documented, 5/5 cross-EDA-vendor exporters (Cadence Sigrity / Synopsys SiP / Keysight ADS / Siemens HyperLynx / Ansys HFSS) + Sprint 54 additions (LEF/DEF + OASIS + Verilog-A EPDA tool + Photo-Elastic Waveguide Router) with 380+ adapter-cell verifications, drift-sentinel + scanner pipeline catches drift in CI. Buyer plugs into internal flow day 1; integration cost zero.

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GDS-to-yield in one workflow

7-stage hybrid-bonding yield pipeline: CMP recess → contact mechanics → anneal → warpage → stress → diffusion → yield. 33-defect IPC/SEMI/ISO taxonomy + 12 CAPA patterns + 811K WM-811K-labeled wafer images. KLA Kiyo is post-fab inspection only — nobody else closes the design-to-fab loop.

Built forCadenceSynopsysCorningIntelKLAAbsolicsRapidusDNP
Live signoff platform

Real route-backed signoff. Live alias. Hashed witnesses.

The dashboard at app.chipletos.com runs the production surrogate model — R² 0.9999966 / 0.029% MAPE on a geometry-disjoint 6.75M-row test set — against 60 route-backed package signoff cases (RF + isolation + yield in series) and surfaces the 4-solver cross-solver witness, the deep ensemble CI band, and the OOD flag for every prediction. Every number renders from a SHA-256-hashed manifest.

app.chipletos.com / chiplet-suite
Glass PDK
0.9999966
R² test (v3) · vs BEM training solver, not measured VNA
Signoff
60/60
RF pass · best-of-20 candidate geometries; manual review still required for full signoff
Palace
25/25
Full-wave reference runs · 24% mean disagreement vs the quasi-static surrogate on the refined 33-geometry × 6-frequency sweep; cross-physics envelope, not consensus
External cross-reference
4.00% MAE
vs 6 IEEE-published references — Hwang 2017 outlier 7.8% / Tummala 2016 10.1%. All references are HFSS-coaxial simulation extractions, not VNA measurements (wet-lab campaign queued).
CI + OOD
3 seeds
Per-prediction CI band
POST /v1/chiplet-suite/package-signoff  →  200 OK  ·  R² 0.9999966 production surrogate

Where ChipletOS leads. Where competitors still own.

Honest snapshot vs the four major EDA platforms. The differentiator is not "we beat them at HFSS" — it's that no commercial parameterised glass-TGV PDK exists on the market and ChipletOS is the only platform that ships one. Competitors lead on fab data; ChipletOS leads on automation and route-backed signoff.

CapabilityChipletOSCadence SigritySynopsys HSPICEKeysight ADSANSYS HFSS
Parameterised TGV PDK (4 substrate classes + 21 materials)Liveabsentabsentabsentabsent
BEM solver vs 6 IEEE-published HFSS-coaxial reference points4.00% MAE (HFSS-coaxial cross-physics; not VNA)absentabsentabsentabsent
60-case route-backed signoff (RF pass)60/60absentabsentabsentabsent
4-solver cross-solver witness (BEM + FastHenry2 + OpenEMS + Palace)LivePartialabsentPartialPartial
Per-prediction CI + OOD flag (3-seed deep ensemble)Liveabsentabsentabsentabsent
5/5 cross-EDA export (377+ adapter-cell verifications)LiveOwn onlyOwn onlyOwn onlyOwn only
Median signoff cycle time~141 mshours–dayshours–dayshours–dayshours–days
The Industry Shift

Glass Packaging Has Outgrown Traditional EDA

The move to glass interposers and glass package substrates has created a gap that legacy EDA tools do not close. Buyers need a route from package requirements to RF, isolation, yield-risk, and downloadable artifacts instead of stitched-together point tools.

report_problem

Fragmented Legacy Tools

Legacy point tools still leave glass TGV impedance, isolation, and bondability spread across different assumptions and outputs.

sync_alt

Unified ChipletOS Pipeline

ChipletOS packages Glass PDK, EM Isolation Compiler, and Bondability Pipeline into one route-backed signoff suite with S2P, report, manifest, and provenance.

Abstract visualization of interconnected semiconductor grid structure

“We are solving the ‘Physics of the Gap’ —the critical space between the silicon die and the final package.”

From Wafer State to Package Signoff

Follow one continuous operating flow instead of stitching together separate tools for stress, interconnect, isolation, yield, and final customer artifacts.

Step 1lens_blur

Wafer Warpage

Model wafer stress early so packaging decisions start from measured deformation, not assumptions.

Kirchhoff plate FEM • sub-4 ms latency

Step 2architecture

Package Warpage

Track panel-level alignment risk before the stack reaches bonding and assembly constraints.

Panel deformation modeling for large-format substrates

Step 3layers

BEM Impedance

Predict glass TGV impedance with the platform's core solver instead of guessing through analytic shortcuts.

3.57% MAE vs IEEE-published HFSS refs • glass TGV impedance PDK

Step 4radar

Isolation Synthesis

Design isolation structures that close the loop from field behavior to manufacturable geometry.

EM Isolation Compiler isolation-signoff route • frequency-dependent margining

Step 5handshake

Yield Prediction

Connect layout, overlay, and contact mechanics to bonding yield before the mask spend lands.

Bondability Pipeline bondability-signoff route • uncertainty + calibration state

Step 6security

Signoff Artifacts

Export the outputs buyers can actually consume: Touchstone content, GDS export spec, report markdown, manifest hash, and provenance.

POST /v1/chiplet-suite/package-signoff • 25/25 route-backed cases • 995 active curated S2P assets

Built for the Hardest Problems in Heterogeneous Integration

Explore Full Capabilitiesarrow_forward

GDS In, Yield Out

The signoff suite connects glass TGV RF, isolation margining, bondability risk, Touchstone output, GDS export specs, and provenance into one package workflow.

Topographic heatmap showing stress distribution on a silicon wafer
terminal

Unified API + CLI

Control the entire physics stack through a high-performance Python API or a secure, headless Linux CLI.

Glass TGV Impedance

The only multiconductor TGV impedance tool in existence. 3.57% MAE vs 6 IEEE-published HFSS-coaxial reference points, with a broader 18-point 5.75% RMSE witness and 9/10 geometry checks staying within 2% through 250 GHz. A strict geometry-group four-seed baseline production cohort aggregate now shows mean unseen-geometry R² 0.9751 at 4.59% MAPE on 1.5M-row training runs, with HBM4 remaining the soft regime at 0.9093 / 8.07%.15.92M ML rows plus 901K separately versioned strict buyer-regime additions. Coaxial approximation is 55–225% wrong on glass.

Isolation Synthesis

The only tool that designs isolation structures, not just analyzes them. Adjoint topology optimization to DRC-clean GDSII export in one closed loop.

909 Filed Subclaims / 146 Independent Claims

280 utility filed Jan 2026 + 629 provisional. Provisionals establish priority date but are not yet examined; non-provisional conversion in progress, deadline 2027-01-31. Issued claims to date: 0. Comprehensive IP coverage across BEM impedance, hybrid bonding yield, isolation synthesis, bondability screening, and provenance-bound signoff workflows. Full portfolio under NDA.

Latest Validation Update

Put the proof where it belongs: alongside the evidence, not in the hero.

The current proof layer is not just literature matching. It now includes a 25-case package-signoff benchmark, S2P registry validation, a measured-calibration Bondability Pipeline lane, and a one-command evidence pack tied to the claim trace.

Review Validation Evidence

Surrogate accuracy

R²=0.9999966 · 0.029% MAPE

6.75M-row BEM corpus, geometry-disjoint split, 78,840 unseen test geometries. HBM4 test MAPE 0.015%. Every promotion gated by automated CI checks.

Route-backed signoff

60/60 RF pass

HBM4 / UCIe / PCIe Gen6 / 800G / 77 GHz radar across 12 geometry variants. Mean worst Z₀ 1.94%, max 6.73%.

4-solver cross-validation

4.0% MAE vs IEEE · 6.73% BEM-vs-Palace envelope

BEM + FastHenry2 + OpenEMS + Palace FEM independently converge on Z₀. Validated against 6 IEEE-published references (simulation-derived, not VNA). VNA campaign planned.

Per-prediction confidence

95% coverage · ECE 0.79% · OOD on 7 axes

Every API call returns Z₀ + 95% conformal CI band + per-axis OOD diagnostic. Calibrated intervals are empirically correct 94.4–95.4% of the time across all 4 geometry regimes.

Cross-EDA export

5/5 vendors · 377+ adapter verifications

Cadence Sigrity, Synopsys SiP, Keysight ADS, Siemens HyperLynx, Ansys HFSS. Native-format export verified at zero floating-point error across 250 material cells.

Inverse design

r=0.99984 gradient · 8/8 cases pass

Target Z₀ → recovered geometry in one API call. Differentiable surrogate gradient matches BEM physics gradient. No EDA vendor ships an inverse-design endpoint for glass packages today.

Lab readiness score

0–100 · send / QC / hold / reject

Composite score combining cross-solver agreement, conformal CI width, OOD severity, and ensemble uncertainty. Never fabricates proxy values for missing data.

Per-regime calibration heads

6/6 regimes deployed · 5/6 above 80% gap closure · 1/6 near-elite at 76.7% · pooled 86.0%

Per-regime cross-physics calibration heads close the gap between fast quasi-static and full-wave reference solvers. Sprint 45 v2-clean retrain numbers (witness benchmarks/sprint45/post_cal_head_agreement_2026_05_05.json): ULTRA_HIGH_FREQ 92.0% · HBM4 90.7% · WIDE_PITCH 85.9% · MMWAVE 84.7% · UCIE 81.5% · EXTREME_TIGHT 76.7% — pooled 86.0% gap closure (17.10% → 2.39% mean BEM-vs-Palace error). EXTREME_TIGHT is capacity-bound by a 51.7% solver-failure rate on small-pitch geometries — disclosed ceiling, not aspirational. Reference is full-wave Palace FEM, not VNA-measured.

Audit infrastructure

25 §9 gates · 39 retractions · 1121 tests

17 validation suite gates pass at every commit, including the multi-physics cal heads (thermal MAE 1.14 K, mechanical MAE 4.33 µm) trained against CalculiX FEM truth corpora. Plus synthetic-data sniffer, phantom-cite detector, witness-freshness, API-contract drift, patent-bundle integrity, cross-PROV consistency. Buyer-runnable 5-min adversarial harness.

Current proof stack

IEEE-published HFSS-coaxial references and FastHenry2 are the published cross-references; Palace 0.16.0 (real transient FEM, n=100 multifreq) is the strongest non-VNA cross-physics check on this platform. Palace FEM is quoted at the 5 GHz extraction, with 10 of 50 simulations inside ±5% in the core regime.

The expansion lane now cites 901K separately versioned strict additions across the buyer-regime expansion runs. The geometry-challenge replay and strict 1.5M witness are explicit on the site instead of buried in docs, and the active S2P library plus package-signoff route remain available for direct SI workflows.

BEM rows / ML rows6.75M / 15.92M
Mesh independence0.087%
Palace median offset10.07% @ 5 GHz
Active API / MCP surface261 / 16 tools

Executive Strategic Pillars

01

Predict Yield Before the Fab

The only GDS-to-yield pipeline for hybrid bonding. Seven coupled physics stages predict manufacturability before you commit silicon or glass. No more $500K mask-set surprises.

02

Design on Glass, Not Guesswork

No EDA vendor ships a glass-calibrated impedance model. Our BEM solver is 55–225% more accurate than the coaxial approximation on TGV geometries. 15.92M rows, 4 substrate classes + 21 materials.

03

Turn Metrology Into Revenue

Bridge overlay registration data to bonding yield predictions. Make existing KLA Archer data predict yield, not just measure alignment error. The highest-scored claim in our portfolio.

Sister portfolio

FluxZero — PFAS-free thermal fluid IP for the post-Novec era

Marangoni-active, self-pumping dielectric for two-phase immersion cooling. Same ownership as ChipletOS; separately branded.

Companion portfolio

Materials IP — 86 provisional drafts. 5 Crown 5. $20B+ TAM.

GAA gate dielectrics, BSA glass substrate, TGV barriers, low-k RDL, ALD chip film, rad-hard glass, TIM, MLCC, and a methods bundle. 33 buyer-mapped provs across Intel · Samsung · TSMC+Corning · Corning · Terafab · Cadence · NVIDIA · AGC/NEG.

Platform Snapshot

Solvers32+ Production
ML Models26+3+2
Database15.92M + 901K
ILC Controller982/1000 Synthetic
Patent Claims909 Filed280 utility + 629 provisional · 0 issued · deadline 2027-01-31
verified982 tests collected at repo root; 4,414 test files on disk.
Technical line graph showing yield optimization curves
R²=0.9751Strict Unseen-Geometry Witness
<10msInference Latency

The Software Layer for the Chiplet Era

Join the consortium of leaders redefining semiconductor manufacturing.