End-to-end closure
One connected path from a failing regression to a verified fix, precise blocker, or clear handoff.
The world’s first Silicon Regression Autopilot. Now closing regressions end to end.
Give us a regression.We will close it.
dVI works through run, analyze, isolate, fix, rerun, and close—with the simulators and approved models your team already uses, inside your environment and under your control.
Sustained, controlled closure—without open-ended model spend.
- Proven on real regressions with real failures.
- Customer-premises deployment validated
- Works with your simulator
- Model provider choice
Your stack, your choice
Keep your simulator, source, CI, Jira, and approved model providers. dVI connects the closure loop.
Cost-effective by design
Control model choice, scope, and usage while applying deeper intelligence only where the evidence needs it.
The 90-second walkthrough
Give verification teams their mornings back.
Move beyond morning triage with a sustained, controlled path toward verified closure. See how dVI carries a regression through six clear stages to an outcome your team can trust.
Stage 01
Run it here—or bring the results.
Use the simulator and regression flow your team already trusts. dVI can start the work or begin from results your existing automation has produced.
Evidence carried forward
Failing tests, logs, source version, and run context.
Proof closes the loop
A fix is finished when your checks pass.
dVI connects the original failure, the exact change, and your project-approved verification into one inspectable result.
How dVI derives the outcomeThe original source stays protected
dVI keeps the starting source unchanged and carries out approved change work in a controlled copy.
Your checks prove the result
Reproduction establishes the failure. Your approved verification proves the exact change.
No false finish line
Completing automated work is not the same as fixing the regression. dVI records the verified outcome separately.
Governed autonomy
Move faster without giving up control.
Keep closure inside the deployment boundary, check consequential actions against policy, and keep usage and every stopping reason visible.
Customer-controlled deployment
Run dVI on-premises or in your VPC and keep control of source, credentials, tools, and external systems.
Controlled action
Set access, approval, network, time, resource, change, and verification boundaries for closure work.
Visible usage and outcomes
See what dVI tried, what changed, what verification proved, what it used, and why it stopped.
Fits around your stack
Keep the tools. Connect the closure loop.
Simulators, regression systems, CI, Git repositories, Jira, and model providers keep clear ownership.
See the integration boundaries01Simulator
02Regression
03CI
04Git
05Jira
06Models
The short answers
What verification teams ask first.
A concise public view of what dVI does, where it runs, and how it fits the tools and providers your team already uses.
- What is dVI?
- dVI is Dhenara’s autonomous product for end-to-end regression closure—and the world’s first Silicon Regression Autopilot.
- What does end-to-end closure mean?
- It means carrying a failing regression through analysis, controlled investigation, a focused fix, approved reruns, and a verified outcome.
- Will dVI work with our simulator?
- dVI is designed to fit around the simulator and regression flow your team already operates. The exact integration is confirmed during setup.
- Can we choose the model provider?
- Yes. Your deployment can use the approved model providers that fit your security, quality, and cost requirements.
- Where does dVI run?
- dVI has been deployed on customer premises and supports customer-controlled deployment on-premises or in a customer VPC.
- How does dVI keep usage cost-effective?
- Sustained, controlled closure—without open-ended model spend. Your team controls model choice, limits, scope, and approvals, while dVI keeps usage and outcomes visible throughout closure.
Evaluate dVI
Evaluate dVI on one real regression.
Start with one real regression, agreed success criteria, and a fixed decision point—inside your environment.