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dVI
Regression closure platform • Private by design

The World's First

Silicon Regression Autopilot

Close regressions faster with a system built for end-to-end regression closure. dVI™ turns failure noise into a prioritized morning plan, surfaces what matters first, and helps teams move from raw failures to likely root causes, ownership, and next actions without a heavy ramp-up.

Zero heavy ramp-upFirst-day signalOn-prem deployment
Deployment
Drop into existing flows with no heavy retraining or process reset.
Outcomes
Move from failure review to closure-ready prioritization in the first day.
Control
Keep logs, design data, and artifacts fully inside your environment.
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Evaluation format

Focused 4-6 week evaluation

See dVI on live regressions with on-prem deployment, agreed success metrics, and measurable first-day signal.

4–6 weeksOn‑prem & privateMeasurable outcomes

Deployment path

Low-friction deployment, fast first-day signal

Deploy inside your environment, connect to existing artifacts, and start getting closure-ready signal without a heavy ramp-up.

Drop into a live environment

Connect dVI to an existing regression flow without forcing teams through a heavy rollout or a workflow rewrite.

Deploy on-prem, point to recent artifacts, and start from the flow your team already trusts.

Get first-day closure signal

Surface grouped failures, likely root-cause paths, and closure-ready priorities early instead of waiting for manual review loops.

See what changed, what matters first, and where engineers should spend time before the next debug cycle starts.

Move toward closure, not just triage

Use DeepDebug™ and grounded follow-through to help the team convert failure noise into a concrete fix plan and ownership signal.

The goal is fewer blind standups, less log spelunking, and faster closure on the failure classes blocking progress.

Security & On‑Prem

  • Private-by-design: process logs locally; ship nothing off your network.
  • On‑prem deploys and air‑gapped environments supported.
  • Audit‑ready JSON/JSONL artifacts; configurable retention.

Fits Common Verification Environments

Designed to fit common simulator outputs and adjacent regression artifacts, with deployment validated against the realities of your environment.

VCSXceliumQuestaVerilatorAdjacent flows

Verification‑ready features

What you get from day one

Drop into existing regressions and start getting first-day signal: closure-ready prioritization, DeepDebug™ root-cause paths, grounded follow-through, and live health — all on-prem.

DeepDebug™ For Closure Paths
Trace failure classes toward likely root-cause paths with grounded context, explainability, and evidence teams can act on.
Closure-Ready Prioritization
Turn overnight failures into grouped priorities, action-ready summaries, and clear signals about what is blocking progress most.
Live Regression Health
Track pass rate, failure deltas, and closure trends as runs evolve so the team can react before the next debug cycle slips.
Across Existing Verification Flows
Designed to fit common simulator outputs and adjacent regression artifacts with portable outputs and environment-specific validation where needed.
Grounded Follow-Through
Follow failure classes with grounded questions tied to the latest triage, DeepDebug™ insights, and supporting artifacts.
On‑Prem Privacy
Everything runs inside your network. Zero data exposure and full IP protection.

Why dVI™ over scripts + spreadsheets

dVI™ replaces fragmented review habits with one reproducible workflow for prioritization, root-cause pursuit, live health, and closure follow-through.

Advantages

  • DeepDebug™ automatically surfaces the true root cause of each failure
  • Incremental scan avoids reprocessing and NFS overloads
  • Versioned triage snapshots with “latest” convenience link
  • Grounded chat that already knows your regression context
  • Bounded concurrency to keep EDA servers stable
  • Cost and token telemetry per regression run
  • Plain JSON artifacts for long‑term portability

Evaluate dVI on your regressionsStructured 4-6 week engagement for teams evaluating end-to-end regression closure in live environments

4–6 weeksOn‑prem, privateMeasurable outcomes
Deploy on a recent regression with minimal ramp-up and no workflow reset
Get first-day closure signal through live health and prioritized outcomes
Use DeepDebug™ to move from failure class to likely root cause faster
Close with a quantified before-and-after evaluation report
Focused evaluation
Enterprise pilot deployments are underway. We work with a limited number of regression-heavy teams at a time so each evaluation gets hands-on setup support, measurable first-day signal, and a clear before-and-after assessment.
Initial working session, deployment plan, and success criteria included.