SafetyMeter exists to make responsible innovation the default — not a checkbox, not a blocker, but the bedrock every great product is built on.
SafetyMeter grew out of a simple frustration: trust & safety expertise was trapped inside large platforms, inaccessible to the startups, NGOs, and independent builders who needed it most. Every week, new products launched without basic harm assessments. Policies were copy-pasted from templates. Compliance was treated as something you did after something went wrong.
We set out to change that. SafetyMeter is the platform we wished existed when we were launching products ourselves — a structured, evidence-based toolkit that makes responsible innovation as easy as filling in a form.
Built by a global team of designers, ethicists, trust & safety practitioners, and engineers, SafetyMeter is guided by one belief: that the builders who care most about doing things right deserve the best tools to prove it.
You tell us about your product — features, users, data handling, safeguards. No open-ended questions, no guesswork.
Rule-based engines classify, score, and prioritise. Reproducible results. No AI makes scoring decisions.
The AI reads the structured scores and writes plain-language narrative, recommendations, and scenario context.
PDF reports, JSON exports, and step-by-step mitigation roadmaps — ready for your team, investors, or regulators. Create a free account to save results to your personal dashboard and track improvements over time.
These aren't aspirations pinned to a wall. They are the constraints we design within — and the promises we make to every person who uses our platform.
Every score is traceable to a rule. Every recommendation is grounded in a framework. No black boxes, no hidden weights — only auditable, explainable outputs.
We build with marginalised communities in mind from day one — not as an afterthought. Our harm frameworks explicitly model differential impacts on vulnerable populations.
Responsible innovation should be fast. Our tools are designed to surface actionable insight in minutes, not months — without sacrificing rigour or accuracy.
We trust deterministic engines to score. We use AI to explain and enrich. This separation ensures reproducibility and protects against hallucinated risk assessments.
We design for the founder, the compliance lead, and the ethicist — not just the enterprise. All tools are free and require no account. A free optional account lets you save reports, track progress, and access a personal safety dashboard — if and when you want it.
Our frameworks draw from international standards, cross-cultural trust & safety research, and regulatory environments across multiple jurisdictions — not a single perspective.
From pre-launch risk assessment to live platform scanning — SafetyMeter covers the full responsible-innovation lifecycle. All tools are free and work without an account. Create a free account to save, track, and analyse your results over time.
Risk scores, harm ratings, compliance flags — calculated by rule-based logic that maps directly to your product characteristics. Same inputs, same outputs. Always auditable, always reproducible.
The AI reads structured scores and writes: plain-language explanations, scenario narratives, tailored recommendations, and debrief coaching — enriching the output without ever replacing the engine underneath.
The trust & safety industry has a hallucination problem. Platforms that rely on large language models to score risks produce outputs that look authoritative but cannot be verified — and when a score is wrong, nobody knows why.
SafetyMeter separates the scoring layer from the narrative layer. Deterministic engines produce structured, reproducible results. AI reads those results and adds the context, language, and recommendations that make them actionable.
This architecture means every output is both auditable and human-readable — the combination that compliance, legal, and governance stakeholders actually need.
SafetyMeter's assessments map to the frameworks that governments, investors, and regulators actually use.
Online harm classification across digital ecosystems.
US national AI risk management framework.
World's first comprehensive AI regulation.
International AI management systems standard.
Ethics embedded in engineering design.