INNOVIZZ brings AI-assisted efficiency to clinical and quantitative sciences operations: coding operations, automation and visualization across biometrics and biostatistics, delivered inside your validated environment with a named reviewer signing off.
Every rule on this site ends in something you can check: a record, a log, a diagram or a sandbox. Claims without a check do not go on the page.
If a rule, a macro or a specification can do it, that is what runs. A model is used only where no rule can be written.
Model output passes conformance and terminology checks, then a person signs it off. Nothing goes straight to a deliverable.
Patient-level data stays in your environment, on premise or in your own cloud, under your access controls.
No new platform to validate. The automation lives in the macros, pipelines, dashboards and repositories you already control.
Most biometrics problems sit between the platform and the people who use it. We work on both sides and on the join.
Illustrative rendering of the working pattern, drawn with synthetic study data. Not a product screenshot. The checks, the flag, the sign-off and the log are the pattern we install in your environment; the run above shows the shape, not the software. See it run against a real synthetic TLF in the Evidence Room.
One workflow corridor at a time: a real workflow in your environment, fixed scope, typically two to four weeks. You receive a workflow map, automation candidates ranked by effort and risk, a validation approach and a build estimate. The review stands alone; the plan is yours to take anywhere.
How the review runsWe work to the practices your QA function already expects. These are controls we apply, not certifications we claim.
Tell us the study phase, the systems and the timeline. We reply with a scoped proposal: deliverables, milestones and acceptance criteria. No number is quoted before the scope is understood.