Qompli

Qompli – Compliance & sensitivity review, automated at scale

Why Qompli

Compliance QC is still fully manual. It doesn’t have to be.

Automation is now routine at most other QC checkpoints. Compliance has stayed a manual, frame-by-frame watch – once per region, once per platform. Qompli takes on the bulk of that analysis and puts a reviewer in charge of every decision, so the same judgement gets made in a fraction of the time.

Rules change with every destination

The same title needs a different pass for each region and each platform. Same content, same hours, again and again.

Manual review doesn’t scale – or agree

It’s slow, expensive, and two reviewers won’t flag the same frames. Consistency is impossible to prove to a client.

Volume and scrutiny are both rising

Libraries keep growing and regulators keep tightening. Adding reviewers is the only lever most teams have.

What Qompli detects

AI-powered compliance detection for broadcast and OTT workflows

Detection runs on video and audio together, with region and platform-specific rules applied per job.

Smoking

Cigarettes, cigars, pipes and related imagery, including background and set dressing.

Alcohol

Bottles, wine and cocktail glasses, branded packaging and drinking imagery.

Nudity

Body-part exposure for viewer-sensitive content, separated into hard and soft findings.

Audio Profanity

Abusive and cuss words in dialogue, timed to the word so it can be muted or bleeped.

Sovereign AI

The vision models are ours. That’s the difference.

Qompli isn’t a wrapper around someone else’s vision API. Venera trains, maintains and ships the vision models that detect smoking, alcohol and nudity – so the categories, the thresholds and the deployment are all things we can change for you.

Qompli sovereign vision model

Fully owned and controlled

Trained and evolved entirely in-house, with no third-party dependency.

Tuned to your rules, quickly

Your thresholds, your categories, on our schedule.

Cloud today, on-premise and hybrid soon

On-premise and hybrid deployment are coming in the near term.

Built for regional data rules

We control where and how content is processed.

Purpose-built accuracy

Trained on compliance categories, not everyday objects.

Off-the-shelf vision APIs

Vendor sets the roadmap

Updates, pricing and deprecations on their timetable.

Customisation is slow or unavailable

Fine-tuning is costly, queued, or not offered.

Rigid deployment

Cloud-only, or a heavy on-prem package.

Content processed off your estate

Sensitive material moves through infrastructure you don't control.

Tuned for everyday objects

General-purpose recognition, not compliance edge cases.

How it works

Detect, review, correct – without leaving the workflow

Qompli covers the whole compliance pass, not just the detection step. A flag becomes a decision, and a decision becomes an edit.

STEP 01

Detect

Submit a file or a whole batch through the REST API or your MAM. Qompli analyses video and audio and returns frame-accurate alerts.

Region and platform rule sets
Frame, shot and timeline-level metadata
Category-tagged alerts

STEP 02

Review in QCtudio

Your team works the alert list far faster than a manual pass, then runs a final playback at up to 6x real time to confirm nothing was missed.

Mark as verified or false positive
Mark-ups and comments per alert
Approval and rejection across the team

STEP 03

Correct

Initiate correction directly from QCtudio and Venera’s own tools handle it, or export the confirmed alerts as a timeline for your own editing system.

Corrected in-platform by Venera’s tools
Or exported as a timeline for your editing system
Full audit trail of who decided what

Review & collaboration

Detection is half the job. Somebody still has to decide.

Qompli hands its alerts to QCtudio, Venera’s cloud review workspace, so the same flag your model raised is the flag your reviewer opens – frame accurate, with the discussion attached.

Explore QCtudio

Timeline-based audio and video review

Frame and shot-level navigation

Final playback pass at up to 6x real time

Mark-ups and comments on any alert

Add your own custom alerts

Verdicts: false positive or verified

Preview corrections before applying

Export alerts as a timeline for editing systems

Integration

Plugs into the MAM and workflow you already run

API-first, so content moves in and alerts come back out – with or without QCtudio in between.

REST API

Documented endpoints, same as Quasar and CapMate

Rich metadata

Frame, shot and timeline-level alert data

Partner-ready

Add AI compliance without hosting a model

Optional QCtudio

Frame-accurate review, or bring your own UI

Our solutions

Quasar

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AI-powered subtitle QC & creation

Cloud-native platform for automated subtitle QC, correction, and subtitle generation.

Automated File based QC

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Usage based File QC

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AI-native content compliance

Detection, review & correction of smoking, alcohol, nudity, profanity, and other content compliance issues.

Quasar

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Automated File based QC

On-premise File based QC system for Automated QC system of audio-visual asset. It allows QC of media content to detect a wide range…

File QC

Usage-based on-premise QC system. This allows users to make use of rich Pulsar QC capabilities while paying on usage basis. Pulsar PPU is ideal for small organizations…

QC as a service

Designed for organizations who want us to perform QC on their content using Pulsar/Quasar/CapMate file QC systems. This allows organizations…

Less watching. More deciding.

Faster turnaround

A large cut in manual QC hours per title, and a first pass that starts the moment the file lands.

Consistent findings

The same thresholds applied to every title, every time – and a record you can show a client.

Scales reliably

Capacity follows the queue, backed by a 99.9% uptime target and proactive monitoring.

Customisable AI

In-house models adapted to your categories, thresholds and sensitivities.

Cloud today, on-premise soon

Run it as SaaS now, with on-premise and hybrid deployment coming in the near term.

Correction, previewed first

Initiated straight from QCtudio and handled automatically, with a preview before anything is committed.

Blog articles

Our experts and thought leaders share their knowledge of technologies pertaining to QC solutions for digital media industry in these scholarly articles.