SafetyLM Made by a practitioner

Industry first Safety AI agent for Australian and New Zealand practitioners, built by Arrley. It answers from a practitioner's knowledge base and public regulator guidance, checks every section it cites against its sources, and declines when its sources can't back an answer, rather than estimate.

A site team walking out a large construction slab

10jurisdictions, from the Commonwealth to New Zealand

0estimates. If the law, the guidance or a figure can't be backed by its sources, SafetyLM declines.

30,000+passages indexed from 338 documents

Arrley started SafetyLM because health and safety deserved better than general tools with a safety label. Ask a general chatbot for a WHS penalty figure in Western Australia and it will invent one, confidently. For people whose work keeps others safe, that isn't good enough.

So SafetyLM is built the other way round: from the way practitioners actually work, under the law they actually work to. It answers from sources you can open, checks what it cites, and when its sources can't back an answer it says so and points you to the regulator. You make the call. SafetyLM does the groundwork.

The SafetyLM way

How we build it.

Shown

Show the working.

Every answer comes with its sources and what was checked. You should never have to take our word for it.

Honest

Decline rather than guess.

Where its sources can't back an answer, SafetyLM says so and points you to the regulator. An honest gap beats a confident error.

Grounded

Practitioners first.

Built by a WHS practitioner for the people who carry the duty. You make the call; SafetyLM does the groundwork.

Our Team

SafetyLM is built at Arrley by people who work in safety and data.

Neet Singh

Founder, SafetyLM

Neet brings over 12 years across engineering, AI and machine learning, environment, health and safety (EHS) and sustainability. He uses analytics, actuarial methods and systems thinking to find the patterns behind risk and drive improvement you can measure.

At Arrley he leads our performance work, from predictive modelling to SafetyLM, our applied AI for work health and safety professionals. He built SafetyLM around one idea: a practitioner should be able to check every answer, with its sources shown, every cited section checked, and a clear refusal when the sources can't back it.

LinkedIn neet.singh@arrley.com

About Arrley

Arrley is the safety, culture and performance company. One team works across all three, for organisations in mining and resources, construction and infrastructure, logistics and manufacturing, health, aged care and government across Australia.

SafetyLM is Arrley's applied AI for work health and safety professionals.

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See how SafetyLM fits the way you work.

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