Fractal's enablers
Codebase Scalable custom codes with user-friendly APIs, full documentation, and endless customization options.
Chief RAI Empowering RAI adoption with a taskforce for unified organizational integration and auditability
Education Comprehensive RAI education for all levels, disciplines, and domains – technical and strategic
ICON
ICON
ICON
Adoption Empowering developers with actionable checklists for ethical, fair, transparent, accountable, and private ai system
ESG Diagnostic Calculating carbon emissions, minimizing environmental impact, and optimizing technological resources
Synthetic data Privacy by design and synthetic data for ethical, secure, and accountable practices
Fractal offers maturity assessments to evaluate clients' current standing regarding RAI practices and propose tailored solutions accordingly. From initial As-Is and To-Be assessments to in-depth diagnosis, we aim to foster collaboration and closely partner with organizations to incorporate RAI strategies into their systems.
To ensure RAI compliance, our certification process involves assessing projects using over 50 qualitative and quantitative criteria. Only after meeting these requirements is a project declared as RAI compliant.
RAI Certification Process Flow
Align on RAI definition and business objective
Share project RAI summary, NPS and record learnings for future use
Share model building outcome – an update on fairness and explainability assessment as appropriate
Data Lifecycle
Model Deployment
Project Kick Off
Business Definition
Model Development
Project Closure
Complete model documentation, audit trail, RAIchecklist process and conduct an audit
Deliver a RAI report on data and highlight any privacy or PII/safety risks as applicable
Share a detailed explanation of the Fractal RAI Certification process
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