Chip design
Accelerate RTL-to-GDSII cycles
Semiconductors
Triage verification failures and yield excursions in hours, not weeks
Lot L2284 · excursion
Show me the excursion data behind the 8D.
L2284 fell 13.4 points below baseline at litho-04; the seven lots before it sit within half a point. The wafer-map cluster points at the reticle edge, and the 8D draft cites these rows.
lot-l2284-yield-excursion.xlsxResize to read
Context agents work across design data, test results, and fab telemetry inside your perimeter, so process and design IP never leave your control.
N5 yield
drop traced to LITHO-3
exposed lots
11 flagged on hold
8D writeup
drafted, sources linked
Built for the enterprise
IP control, traceability, predictable cost, and time to value, addressed before an agent touches design data.
IP stays in your perimeter
RTL, layout, test programs, and process recipes stay in your VPC or air-gapped enclave. Nothing is sent to a vendor cloud to be processed.
Traceable to the source
Every finding an agent surfaces traces to the failing test, the log line, or the lot that produced it, ready for engineering review.
Predictable cost at volume
Routine steps run on cheaper models, and the most capable ones are saved for genuinely novel failures, so analysis across millions of test results stays affordable.
Fast time to production
Bring a verification or yield workflow your team runs today and have it live in production within a week.
Use cases
Across design, the fab, and the field.
Design verification triage
Cluster regression failures, find the likely root cause across logs and waveforms, and draft the bug with a reproducible trace.
Yield and defect analysis
Correlate yield excursions to process steps, equipment, and lots, and explain the signal to the integration team.
Fab operations and telemetry
Watch tool health and process windows, flag drift early, and summarize shift handoffs for the next crew.
Field diagnostics and RMAs
Read field returns and customer failure reports, match them to known signatures, and route the next action.
Supply chain and capacity
Track wafer starts, substrate and tool lead times, and surface the constraints that move a tape-out or a ramp.
Datasheets and compliance docs
Draft and check datasheets, qualification reports, and compliance documents against your spec and house style.
Traceable to the source
Traced to the failing lot
Yield signals are correlated to the process step, with exposed lots listed and linked to the test data behind them.
- Yield and defect signals trace to the failing step, tool, and lot.
- Flagged lots come with the PCM deltas that put them on the list.
- The full investigation is a trace your integration team can audit.
n5-yield · week 22
Die yield · N5
82.4%
-4.1 pts wk/wk
wk 15wk 22
Lot
Yield
Δ vs plan
11 lots exposed, traced to LITHO-3 focus offset
Faster, cheaper, better
Self-improving models, agents, and skills deliver better outcomes at scale.
Task completion on your team's rubric
Context94%
Claude Cowork62%
OpenAI Codex57%
Devin49%
From internal benchmarks on specialized enterprise workflows.
40
×
Faster turnaround
28
×
Lower cost per case
Custom models trained on your work
Your team's accepted outputs become training data for models you own and serve, and they beat general-purpose agents on your specific tasks.
Evals gate every change
Rubrics and golden sets validate every runbook, model, and context change against past work before it ships. Regressions are caught automatically.
Step-level model routing
Each step routes to the cheapest model that clears your rubric. Frontier models handle only the genuinely novel, so cost falls without losing quality.
One platform, four products
Workspace, Engine, Unify, and Evals cover design verification, yield, and field analysis end to end, on your infrastructure and under your controls. The platform learns your design methodology, test taxonomy, and process windows, and applies them to every run.
How it improves over time
Each accepted run makes the next one better. Engineer corrections become the standard the next run is held to.
Every tape-out and every lot makes the next analysis faster, and the data stays with your team.
Connect your systems
EDA outputs, fab telemetry, MES, and PLM connect once under your existing permissions.
Agents do the work
Verification, yield, and field runbooks execute inside your perimeter, each step traced to the data that drove it.
Engineers correct
Reviewers accept or correct findings in the flow of work, and corrections are captured as standards, not lost in a ticket.
The work gets cheaper
Routine work moves to cheaper models that still meet your standard, and models trained on your approved work outperform general ones on your silicon.
Prebuilt agents for your team
Turnkey agents for Semiconductors, integrated with your systems and deployed in days. Each one runs inside your perimeter under your identity and permissions.
Works with your systems
Context connects to the tools this work already lives in, and every connector call inherits the caller's permissions. These are the systems the agents above plug into.
Deployment options
Semiconductor teams run Context hosted, in their own cloud, fully air-gapped, or on premises. Sensitive data is never moved into someone else's cloud.
Run anywhere
Hosted, in your own cloud account on AWS, Azure, or GCP, fully air-gapped with no outside connection, or on the on-prem appliance. The same platform in every setup.
The data stays yours
Your team's approved work trains models you own. What the system learns about your firm stays inside your environment and never leaves it.
Agents get only the user's access
Agents sign in through your identity provider, like Okta or Azure AD, and get the same access as the person using them, and nothing more.
Every action is logged
Every run is recorded step by step, with who ran it and what it touched. Nothing an agent does is a black box to the team accountable for it.
Talk to us.
Bring a regression suite, a yield dataset, or a stack of field returns. We will show you what Context does with it inside your perimeter.