Ethical AI assurance platform: BeehAIve®
AI innovation ethically delivered




[ CAPABILITIES ]
BeehAIve® is an ethical AI assurance platform built to comprehensively scrutinise an AI model against fifteen distinct ethical dimensions.
The platform enables the evaluation of data and models against leading global AI standards and regulations.
[ OUTCOMES ]
Measuring for fairness, transparency, cybersecurity, sustainability and much more across thousands of individual assessment points, BeehAIve® minimises risk and ensures your AI deployment is optimised for success.
Benefits
Responsible deployment
Ensure the ethical design of AI projects right from initiation and planning phase.
01
Monitor impacts
Enable the oversight and monitoring of impacts and outcomes of AI models and systems, once deployed.
02
Global benchmarks
Benchmark against your selected global AI standards and legislation – both enacted and in draft.
03
Automate oversight
Unlock full visibility of AI projects across your organisation for humans-in-the-loop – your accountable executives.
04
Transparent reporting
Automate transparency and reporting, both internally and externally to your industry and national regulators.
05
Continuous improvement
Measure ethical maturity levels and monitor continuous improvement across your selected ethical assurance dimensions.
06
Sustainable outcomes
Reduce carbon footprints and water consumption in training and deployment, to hit sustainability goals.
07
Risk management
Manage and mitigate operational, reputational and financial risks from AI development and deployment.
08
BeehAIve® helps you assure, adopt, and scale AI responsibly, safely and ethically


[ STEP 1 ]
Select from 15 distinct ethical dimensions across four workstreams — including technical and compliance — to ensure that every area of AI development and deployment is scrutinsed.
Choose the global regulatory frameworks and standards appropriate to your organisation and use case.


[ STEP 2 ]
Upload your documents and model data to your customised Evidence Store — with the confidence of enterprise-grade security standards — to begin the assessment and AI assurance process.
Allocate and distribute responsibility for internal evidence-gathering on the AI assurance platform across your nominated internal users.


[ STEP 3 ]
View maturity level assessments for each ethical dimension in BeehAIve® selected for AI assurance. Uncover any potential weaknesses in development and deployment.
Access your actionable recommendations and routemap for improvement.






Features
A secure hub for your AI data
Cloud-based with added security from Microsoft Azure, the Evidence Store on BeehAIve adheres to enterprise-grade security standards and protocols that provide comprehensive data protection.
Together, ISO 27001, 27017, 27018 and 27701 provide a foundational security management system along with specific cloud security controls, personal data protection and extended privacy management capabilities. SOC 2 Type II certification (auditing availability, security, confidentiality, processing integrity, and privacy) verifies the quality of the systems, with security controls independently audited over a period of time for effectiveness.
The combination of encryption at rest and in transit ensures that data remain protected whether stored or being transmitted. SSO, MFA and IRM together provide granular control over document access and usage rights, and flexibility to adapt to your organisation’s specific security requirements.
Assure against global standards and regulations
BeehAIve assesses against likely compliance with relevant legislation such as the EU’s AI Act, GDPR, Korean AI Act and your selected additional AI-relevant, or industry specific, legislation globally.
The platform also assesses against globally recognised AI standards, such as ISO/IEC 42001 for AI governance and NIST guidelines for trustworthy AI.
Assuring your AI development against global standards for cross-border deployment mitigates risks and builds stakeholder trust.
Assess for adoption
BeehAIve enables stress-testing and critical assessments of your AI model’s technical performance to improve reliability, robustness, and security.
The technical assessment may recommend issues such as fairness improvements facilitated by incorporating fairness metrics and further investigating a model or system’s social impact.
Unintentional bias could be identified that stems from flaws in the model design, data, training or architectures.
Each issue identified is reported on the BeehAIve project dashboard.
Excel through depth and scale
BeehAIve’s USP is the breadth and depth of its assessment criteria for AI assurance.
The platform has thousands of individual measurement points across technical, governance and compliance workstreams within each ethical dimension.
No other platform comes close for the rigorous scrutiny of evidence and assessment against legislation, standards and leading academic franeworks.
Responsible AI minimises AI risks. Ethical AI maximises AI opportunities.
BeehAIve delivers both for you.
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