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INNOVIZZ
CLINICAL AND QUANTITATIVE SCIENCES · AI-ASSISTED OPERATIONS · INSIDE YOUR PERIMETER

Platform intelligence and operational intelligence, working as one.

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.

Platform: SAS 9.4 · Viya · Grid · Spotfire · cloud
Rules layer
Automation: macros · pipelines · agents
Named sign-off
Operations: datasets · outputs · dashboards · submissions
Deterministic first. Reviewed always.
model output never bypasses the rules layer or the reviewer

Four Rules We Do Not Break

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.

Read the full approach
01

Deterministic first

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.

Check it: every resolved item records which stage settled it.
02

A rules layer, then a named reviewer

Model output passes conformance and terminology checks, then a person signs it off. Nothing goes straight to a deliverable.

Check it: the approval log lists each item accepted, suppressed or edited.
03

Nothing leaves your perimeter

Patient-level data stays in your environment, on premise or in your own cloud, under your access controls.

Check it: the data flow diagram, under NDA, before kickoff.
04

Automation inside your tools

No new platform to validate. The automation lives in the macros, pipelines, dashboards and repositories you already control.

Check it: test in a sandbox with your own account during the review.

Two Layers, One Practice

Most biometrics problems sit between the platform and the people who use it. We work on both sides and on the join.

THE TWO LAYERS, IN MOTION · ONE PIECE OF WORK, END TO END
REQUEST RECEIVED QC the Week 24 lab tables before the DSMB transfer. From: Lead Statistical Programmer Study SYN-001 · 38 tables RULES LAYER · CLASSIFY AND SCOPE ✓Corridor: Analysis QC ✓Data boundary: read-only intake ✓No production writes permitted ✓Approval gate: named reviewer nothing runs until every gate is set RUN SCOPED RUN-2041
01 · INTAKE · the request is classified against the rules layer before anything runsSYNTHETIC DATA
PLATFORM INTELLIGENCE · AUTOMATED QC RUN · RUN-2041 38 tables queued · cell-level comparison against source T14.1.1 demographics ..................PASS T14.2.3 exposure ......................PASS T14.3.2.1 lab shift table ...............MISMATCH T14.3.4 ALT excursions ................PASS FLAGGED FOR REVIEW cell F7 · reported 2.41 · source 2.4 · rounding spec ambiguity every check is written to the run log as it fires
02 · PLATFORM INTELLIGENCE · automation runs the checks; one result refuses to pass quietlySYNTHETIC DATA
OPERATIONAL INTELLIGENCE · THE FLAG ROUTES TO A PERSON FLAGGED ITEM T14.3.2.1 · cell F7 reported 2.41 · source 2.4 cause: rounding spec ambiguity automation stops here. it does not decide. NAMED REVIEWER · SENIOR STATISTICAL REVIEWER inspects source dataset and output side by side decision: rounding spec v1.2 applies · table corrected re-run ordered · 38 of 38 clean SIGN-OFF RECORDED 14:31:07 UTC · identity logged
03 · OPERATIONAL INTELLIGENCE · a named person inspects, decides and signsSYNTHETIC DATA
THE RECORD · RUN-2041 CLOSES AS EVIDENCE 14:02:11intake.read request classified · corridor=analysis-qc 14:02:12scope.lock read-only boundary applied 14:18:40qc.complete 38/38 checks executed · 1 flagged 14:31:07review.decision human sign-off · T14.3.2.1 14:32:55rerun.clean 38/38 pass 14:33:02packet.export EP-2041 · hash verified Nothing acts alone. Everything is logged.
04 · THE RECORD · the run closes as an evidence packet you can auditSYNTHETIC DATA
IGNITING INTELLIGENT INNOVATION
05 · INNOVIZZ · two layers, one practiceinnovizz.com

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.

WHERE EVERY ENGAGEMENT STARTS

Validated Automation Review

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 runs
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Start at step 1: book the fit call Thirty minutes, free. We say plainly when automation does not fit.

Built for the inspection room

We work to the practices your QA function already expects. These are controls we apply, not certifications we claim.

21 CFR Part 11
Audit trail, access control and electronic sign-off on every deliverable.
GAMP 5
Risk-based validation of the automation; IQ, OQ and PQ where the engagement calls for them.
ICH E6(R3)
Risk-based quality management and centralized monitoring support for oversight dashboards.
CDISC
SDTM, ADaM, Define-XML and controlled terminology at the versions your submission names; Pinnacle 21 integrated, not run at the end.
THE SHORT VERSION

Who, What, Where, Why

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Insights

All insights

Start with the bottleneck that costs you the most.

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.




    Prefer a call first? Book a 30-minute fit call.