Regression Response Workspace for Silicon Teams
dVI™ turns a finished regression into the place your team opens to see what broke, what matters first, what should happen next, who owns the next step, and what evidence supports the decision. Autopilot stays inside that workspace as the governed execution layer, helping teams close regressions faster with provider-agnostic, cost-efficient intelligence.
Built for the post-regression response loop
Why teams adopt dVI
The value is not a single model answer. It is the managed system around the answer: evidence-backed incident review, governed automation, durable workflow state, and reusable memory that survives across runs.
- Evidence-backed incident review
- Turn raw failures into reviewable incidents with representative evidence, scope, and history before the morning review starts.
- Governed autopilot workflows
- Advance response through rerunnable, policy-bounded workflows instead of one-off prompt sessions.
- Coverage closure lane
- Review prepared coverage gaps and grouped closure work without mixing coverage truth into incident handling.
- DeepDebug™ when deeper evidence matters
- Use representative investigations to follow important incidents toward likely root-cause paths with grounded context.
- Provider-agnostic, cost-efficient intelligence
- Use the model provider that fits your environment while keeping the staged intelligence path practical to run repeatedly and easy to inspect.
- Customer-controlled deployment
- Run on-prem, keep your existing farm and tools, and retain full control over logs, models, storage, and policy.
Workspace first. Autopilot included.
One workspace for what happens after the regression finishes
dVI™ does more than summarize logs. It compresses failures into reviewable incidents, keeps coverage work on the same regression, and carries evidence, owners, actions, usage, and audit through the whole response loop.
dVI™ Regression-Response Workspace
dVI™ gives verification teams a durable place to review incident queues, coverage gaps, current action decisions, prior history, workflow state, and bounded follow-through. Autopilot is built in as the governed execution layer that reruns workflows, advances selected actions, and preserves the result.
- Compresses failing tests into a smaller incident queue
- Keeps coverage closure as a sibling lane when enabled
- Runs rerunnable autopilot workflows under policy
- Preserves evidence, history, approvals, and accepted outcomes
- Keeps LLM usage practical and inspectable per regression
- Runs on-prem and stays provider-agnostic at the model layer
