"Your digital first responder for musculoskeletal injuries."
Musculoskeletal injuries are the most common — and most costly — workplace injuries globally. Strains, sprains, manual handling injuries. They start small. They end expensive. Not because they are severe, but because the response is too slow.
Workers often push through early symptoms rather than report. By the time support arrives, the injury has worsened. The claim is lodged. The cost is locked in.
We knew there was a better way. The first 24 hours of an injury are everything. Intervene early and you change the outcome. Miss that window and you're in recovery mode — expensive, slow, and reactive.
So we built spoc.ai — a 24/7 AI-powered injury triage and early intervention platform. Structured symptom intake. Immediate AI guidance. Clinical escalation within minutes when needed. Real-time data so safety leaders can see everything, instantly.
Not just technology. A new way of managing risk — built by practitioners, backed by clinical capability, and proven across Australia's highest-risk industries.
Validated MSK data points underpinning the AI triage engine
Worker consultation takes as little as 4 minutes — immediate AI-guided assessment at the moment of injury
Clinical escalation to an occupational doctor when required
Typical ROI for organisations in year one
Most musculoskeletal injuries are managed reactively, not proactively. By the time intervention occurs, the injury has already escalated.
A worker feels discomfort but keeps pushing through. Symptoms worsen. Support comes late. By the time help arrives, recovery is harder, stress is higher, and the impact reaches far beyond the injury itself.
The worker reports symptoms early and receives immediate support. AI-guided triage begins within minutes, providing reassurance, guidance, and escalation to clinicians where needed — helping prevent issues from becoming prolonged injury claims. That's the spoc.ai way.
To intervene at the earliest possible moment — when injuries are still minor and manageable.
Instant access to AI‑guided assessment and triage.
Structured, MSK-specific symptom intake built on 2M+ validated data points. Consistent output. Defensible decisions. Every time, across every site.
Not AI alone. Qualified clinicians are available within minutes when injuries require it — with full triage context already loaded. Human oversight at every critical point.
Instant visibility across every site, every shift. Safety leaders and HSEQ teams see injury trends, escalation rates, and outcomes in real time — enabling faster, smarter decisions.
Proven across high‑risk industries, including logistics, manufacturing and construction, plus multisite operations – delivering consistent, fair, and scalable injury triage across metropolitan, regional, and remote workforces globally.
Designed by frontline health and safety practitioners — not just software developers.
Proven across high-risk industries — logistics, manufacturing, construction
Backed by national clinical delivery capability
Underpinned by 2M+ validated data points and a RAG framework for accurate, context-aware outputs
Practitioners, clinicians, engineers, and operators — united by a belief that every worker deserves an immediate, expert response when they're injured.
Visionary leader behind spoc.ai — built to transform how workplaces respond to musculoskeletal injury.
Leading the technical architecture and platform development powering spoc.ai's AI engine.
Engineering the MSK-specific AI triage model built on 2M+ validated clinical data points.
Driving strategic growth and industry partnerships across spoc.ai's key markets.
Every worker deserves an immediate, expert response the moment they're injured — regardless of industry, site, or shift.
The window to prevent escalation is short. We make sure organisations win it — every time, with structured triage and clinical support.
Organisations using spoc.ai see fewer claims, lower costs, and faster return to work — with data to prove it.
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Most organisations don't realise how much MSK injuries are costing them — until they see the data.
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