Haven is more than an AI platform, it’s a trusted partner in protecting people.
We build AI with one simple promise: faster insights, safer workplaces, and zero compromise on integrity. We believe artificial intelligence should amplify human judgment, not replace it. Every module we build, from witness statements to root-cause analysis to corrective actions, follows one principle: trust through transparency.
Human in the Loop
Haven’s copilots never act autonomously. Every analysis, insight, or recommendation is reviewed and approved by safety professionals before it is finalized. AI accelerates investigation speed, consistency, and quality; humans ensure accuracy and accountability.
Grounded, Explainable Results
Haven doesn’t “guess.” Every finding links directly to the evidence that produced it: documents, statements, or prior incidents. Haven discloses its confidence level with every recommendation it makes. Investigators can trace insight back to its source, building confidence in both the process and the outcome.
Privacy and Data Protection
Safety data is sensitive, and we treat it that way. All customer information is encrypted, tenant-isolated, and automatically stripped of personal identifiers before analysis. Haven never uses customer data to train public models.
Built-in Safeguards
We embed safeguards into every layer:
Ethical boundaries: The AI is trained to decline unsafe, biased, or speculative outputs.
Integrity monitoring: All actions and recommendations are audit-logged and version-controlled.
Continuous testing: Each release passes red-team evaluations for accuracy, grounding, and responsible use.
Continuous Evaluations: Haven leverages both human and AI as judges for the quality of its output, every prompt, every recommendation, every insight is monitored and automatically evaluated.
Industry Standards-Aligned Intelligence
Every root cause and corrective action recommendation maps to recognized safety frameworks, including OSHA, ISO 45001, Safe Work Australia, CSB, and NIOSH. Haven strengthens compliance by design, not by chance.