inviol vs Protex AI: how the platforms compare

If you're evaluating computer vision AI for workplace safety, there's a good chance both inviol and Protex AI are on your shortlist. Both platforms use AI to detect safety events through existing CCTV infrastructure, both process data on-premise for privacy, and both aim to reduce workplace risk.

But the two platforms have meaningfully different approaches to how they turn detections into outcomes, who they're designed for, and what kind of safety culture they support. This post is a straightforward, side-by-side look at the key differences to help you make the right decision for your operation.

For transparency: this blog has been written by Matt Langston, inviol's Head of Growth. Everything in this comparison is based on publicly available information from Protex AI's website, published case studies, and investor materials. We've aimed to be fair and factual throughout.

Where both platforms start from the same foundation

Before diving into differences, it's worth acknowledging the common ground. Both inviol and Protex AI share a core architecture that reflects the current state of the art in computer vision for workplace safety.

Both connect to existing CCTV cameras, so there's no need for specialist hardware. Both use on-premise edge processing to keep video data on-site, addressing privacy and data sovereignty concerns. Both detect safety events like pedestrian-vehicle near misses, exclusion zone breaches, PPE non-compliance, and speeding. Both provide dashboards and reporting to surface trends and patterns. Both offer face and body blurring to protect worker identities.

If you're comparing either platform against traditional safety management (manual audits, paper-based reporting, periodic safety walks), both represent a significant step forward in visibility and proactive risk management.

The question isn't whether computer vision AI works. It does. The question is which platform's approach best fits your team, your culture, and your goals.

Protex AI: what they offer

Protex AI was founded in 2021 and is headquartered in Dublin, Ireland, with a US office in Boston. They've raised $54 million in venture funding, including a $36 million Series B led by Hedosophia with participation from Salesforce Ventures.

Their platform is built around a configurable rules engine that lets EHS teams define custom safety detection rules through a drag-and-drop interface. This is a strong feature for organisations that want granular control over what the system flags and how.

They've recently launched Protex Intelligence (formerly Copilot), a generative AI tool that lets safety professionals ask questions in plain language and receive instant dashboards, reports, and insights. They've also announced a partnership with Cority to integrate their detections into Cority's EHS management platform.

Protex's published results include an average 64% reduction in workplace risk within three months of deployment. Their named customers include DHL (a proof-of-concept partnership) and Bendix Commercial Vehicle Systems (84% reduction in at-risk behaviours). They serve sectors including logistics, industrial manufacturing, food and beverage, ports, and warehousing.

Protex positions itself as a platform for enterprise EHS teams focused on proactive safety decisions, with particular emphasis on configurability and data-driven insights.

inviol: how we approach it differently

inviol was founded in New Zealand and serves customers across Australasia and globally. Our customer base includes Coca-Cola, Woolworths, Americold, Linfox, NZ Post, The Warehouse Group, PlaceMakers, and Whittaker's.

Where we diverge from Protex AI (and most other platforms in this space) is in what happens after a safety event is detected. Detection is important, but it's only the starting point. The question that determines whether your safety programme actually improves is: what do people do with the data?

inviol is built around a coaching-first philosophy. When the system detects a safety event, the intended response is not just an alert or a data point. It's a coaching conversation. A supervisor reviews the event (with blurred footage that doesn't identify individuals), gathers the team, and facilitates a discussion about what happened, what could have gone wrong, and how to prevent it in future.

This coaching loop is built into the platform, not bolted on. Events flow into coaching workflows that are logged, tracked, and measured alongside the detection data. The result is a closed feedback loop: detection leads to coaching, coaching leads to behaviour change, and behaviour change shows up in the data as reduced risk.

Our published outcomes reflect this approach: an average 67% risk reduction, a 42% incident reduction over three years, and a 61% reduction in machine-on-plant events.

The biggest difference: what happens after detection

This is the core distinction, and it matters more than any individual feature.

Protex AI's strength is in configurability and enterprise-scale data analytics. Their rules engine and Protex Intelligence tool give EHS teams powerful ways to define what to detect and analyse what happened. For large enterprise teams with mature EHS capabilities who want maximum control over their detection parameters and reporting, that's a strong offering.

inviol's strength is in turning detections into behaviour change through structured coaching. The platform is designed not just for the EHS manager analysing data at a desk, but for the supervisor on the floor having a conversation with their team. The coaching platform, the reporting dashboard, the heatmaps, and the event classification system all feed into a workflow that makes coaching practical, consistent, and measurable.

This reflects a fundamental belief: technology alone doesn't make workplaces safer. People do. And people change behaviour through coaching, not through dashboards alone.

Other key differences

Market focus and regulatory expertise. Protex AI is headquartered in Dublin and Boston, and their customer base and content are primarily focused on the US and European markets. inviol is headquartered in New Zealand, with deep expertise in HSWA, PCBU obligations, and Safe Work Australia's WHS framework. If your operation is in Australasia, inviol speaks your regulatory language natively.

Camera requirements. inviol typically only needs to connect to a selection of your cameras, focused on your highest-risk areas. A site with 40 cameras might only need 10 to 15 connected. This reduces cost and complexity while still capturing the data that matters most.

Operational insights beyond safety. inviol customers frequently discover that the data reveals operational inefficiencies alongside safety risks. Heatmaps that show where near misses cluster often also reveal where traffic flow can be redesigned for better throughput, where delivery timings create unnecessary congestion, or where layout changes could reduce both risk and damage to goods and machinery.

Compliance certifications. Both platforms offer on-premise processing and privacy safeguards. inviol holds SOC 2, ISO 27001, and GDPR compliance, with a dedicated trust centre for detailed security documentation.

On-truck safety — unique to inviol. inviol offers an on-truck operational safety solution that no other computer vision safety platform provides. Built originally for building materials and steel distribution trucks, the system uses a purpose-built, heavy-wearing edge AI device mounted at the back of the truck (not in the cab) to monitor operational health and safety during loading, unloading, and delivery. This is a genuinely unique capability. Protex AI and other platforms in this space focus exclusively on fixed-site environments like warehouses and factories. inviol does too — warehousing and logistics are our primary offering — but the on-truck solution means we can cover the full chain of risk from warehouse floor to customer delivery.

How to decide which platform fits

The right choice depends on what your organisation needs most. Here are the questions worth asking.

What's your primary goal? If you're looking for maximum configurability and enterprise-scale analytics with a generative AI copilot, Protex AI is worth evaluating closely. If you want a platform that connects detection to coaching workflows and is designed to change frontline behaviour, inviol is built for that.

Where do you operate? Both platforms serve customers globally. inviol has particularly deep regulatory expertise in Australasia (HSWA, PCBU, Safe Work Australia WHS), while Protex AI has a strong presence in the US and European markets. If your operations span multiple regions, consider which vendor's regulatory knowledge and customer references best match your footprint.

How mature is your EHS team? Protex AI's configurable rules engine and Protex Intelligence tool assume a certain level of EHS capability to get the most from the platform. inviol's coaching-first approach is designed to be practical for organisations at varying levels of EHS maturity, with workflows that guide supervisors through the coaching process step by step.

Does your risk extend beyond the warehouse? If your operation includes delivery trucks — particularly building materials, steel, or other heavy loads — inviol is the only platform that covers on-truck safety with a purpose-built edge AI device. No other vendor in this space offers that.

Both platforms are genuine players in this space, and both deliver real results. The question is which approach, which philosophy, and which set of capabilities align best with how your organisation wants to build a safer workplace.

Want to see inviol's coaching-first approach in action? Book a demo and we'll walk you through the platform with your specific operation in mind. We'll show you the detection, the coaching workflow, and the data, and you can decide for yourself.

Frequently Asked Questions

What is the main difference between inviol and Protex AI?

Both platforms use computer vision AI to detect safety events through existing CCTV cameras. The main difference is in what happens after detection. Protex AI focuses on configurable rules engines and enterprise-scale analytics with a generative AI copilot. inviol is built around a coaching-first approach, where detections feed into structured coaching workflows designed to change frontline behaviour, with coaching sessions logged and tracked alongside detection data.

Which regions does each platform focus on?

Protex AI is headquartered in Dublin and Boston, with a strong presence in US and European markets. inviol is headquartered in New Zealand and serves customers globally, with particularly deep expertise in Australasian regulatory frameworks (HSWA, PCBU, Safe Work Australia WHS). inviol's customer base includes global brands like Coca-Cola, Woolworths, Americold, and Linfox. Both platforms operate internationally, but if your operations span multiple regulatory environments, it's worth understanding each vendor's regional knowledge.

How do the results compare between inviol and Protex AI?

Protex AI reports an average 64% reduction in workplace risk within three months. inviol reports an average 67% risk reduction, a 42% incident reduction over three years, and a 61% reduction in machine-on-plant events. Both platforms deliver measurable safety improvements, though the specific metrics and timeframes differ.

Do both platforms work with existing CCTV cameras?

Yes. Both inviol and Protex AI connect to existing IP CCTV infrastructure and process video data on-premise. inviol typically only requires a selection of cameras focused on the highest-risk areas, rather than connecting to every camera on-site.

Does inviol offer anything that Protex AI doesn't?

inviol's distinguishing features include a built-in coaching and training platform that connects detections to frontline coaching workflows, a unique on-truck operational safety solution (a purpose-built, heavy-wearing edge AI device for monitoring safety at the back of delivery trucks — no other platform offers this), native ANZ regulatory expertise (HSWA, WorkSafe NZ, Safe Work Australia), and operational insights from heatmap data that reveal efficiency improvements alongside safety gains.