01/ Students
Expertise on
demand.
Give every student access to evaluation and actionable feedback grounded in your institution's expertise, whenever they need it — delivered by AI.
01Welcome to RigorOS
RigorOS is enterprise software that helps organisations codify, govern and operationalise their expertise — turning organisational knowledge and expert judgement into evaluation that can be applied consistently, transparently and at scale.
Expertise
Governed by its owners
Expertise made executable.
Defined by your experts
Applied consistently
Corrections guide future comparable evaluations.
Governed evaluation
Grounded in your standards
02Three connected outcomes
01/ Students
Give every student access to evaluation and actionable feedback grounded in your institution's expertise, whenever they need it — delivered by AI.
02/ Academics
Extend the reach of academic judgement without requiring staff to personally evaluate every submission and revision by codifying organisational knowledge.
03/ Institution
As AI becomes part of how students learn and develop their work, ensure your institution's expertise continues to shape the guidance they receive.
03The institutional AI challenge
Students increasingly have access to instant explanations, feedback and guidance from general-purpose AI. But that intelligence is not necessarily grounded in the knowledge, standards or academic judgement of their own institution.
Universities have spent generations developing distinctive expertise. The challenge now is to make that expertise as accessible and useful as the AI tools students already use.
RigorOS provides the infrastructure to connect that expertise to governed AI evaluation — making institutional knowledge and expert judgement available to students at scale.
04For tertiary education
Students should not have to wait for formal assessment to understand how their work measures up against their institution's standards.
RigorOS makes evaluation grounded in academic expertise available while work is still developing. Students can understand what is working, identify opportunities to improve and revise their submissions — with guidance informed by the knowledge and judgement of their own institution.
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View supporting knowledge →RigorOS is designed to evaluate work in any discipline and across multiple modalities — from written and visual work to technical, creative and professional practice. What it can evaluate is determined by the expertise an organisation brings into the system.
05A governed method
RigorOS does not ask a model to invent a standard. It gives organisations a way to establish, apply and refine their own standards.
Bring organisational knowledge out of fragmented documents and individual memory — then curate it under clear ownership.
Establish evaluation methodology using governed expertise, explicit criteria and Reference Example benchmarks.
Apply the organisation's knowledge and standards consistently, making expert judgement available wherever it is needed.
Capture expert corrections as reusable precedent, helping RigorOS apply judgement more consistently in future evaluations.
06An Operating System for Institutional Expertise
RigorOS provides common infrastructure for evaluating work across disciplines, while allowing each faculty or department to govern its own expertise, standards and methodologies.
Academics and subject-matter experts remain responsible for defining what good looks like, calibrating judgement and determining how their expertise is applied. The platform provides the consistency, accessibility and scale.
How the platform works →07Governance by design
Clear ownership, visibility and publication controls.
Evaluation methods and standards are explicit and versioned.
Every Evaluation preserves the exact methodology, knowledge versions and evidence used to reach its judgement.
Experts can refine future interpretation without altering historical evaluations.
08A considered next step
See how RigorOS could make your institution's knowledge, standards and expert judgement accessible through governed AI evaluation. Arrange a demonstration tailored to your discipline, faculty or institution.
Arrange a demonstration