Patent-pending
ModelRiskOps technology
Embed controls into every step of a trustworthy AI model journey
TRUST
Alerts and monitoring — accurate, transparent, auditable information to share on-demand
SPEED
Confidence in automation — bring AI model safety and compliance controls up to speed
INTEGRATIONS
API-driven integrations — pluggable into any data source and model framework
Comfort and Cooperation in a World of Risk
"As the speed of AI innovation proves challenging for risk and compliance functions, Fairly’s solution addresses this challenge and supports transparency and risk protection, by offering a platform for quality assurance needed for responsible AI.”
Mike Dargan
UBS, Group Chief Digital & Information Officer and Member of the Group Executive Board, UBS
Revolutionizing Model Risk Management
Proactive AI governance, risk and compliance solution designed and approved by data scientists, model validators, internal auditors, cognitive scientists, ethics and business leaders for financial and ethical risks management.
Data Scientists & Model Developers
Remove guesswork out of AI policies and requirements with automated controls
Reduce time writing reports with intuitive UI/UX design for capturing developmental evidence
Reduce errors and improve model safety using behavioral and cognitive nudge techniques
Model Validators, Risk & Compliance Officers
Reduce turnaround time for validation teams with streamlined workflow
Capture evidence for effective challenge with accountability features
Reduce errors and improve model safety with standardized templates and test suites
Internal Auditors
Increase auditability and explainability throughout the entire model journey with auditable process-based explainability features
Provide ability for auditing team to audit AI/ML models for bias with our Bias Inspector
Create instant alerts for continuous risk monitoring for real-time risk management
C-Suite Executives
Increase confidence in the AI approval process with customizable executive reports and dashboards
Automate controls to remove discretionary decisions which could introduce bias
Reduce errors and improve model safety to prevent financial, legal, ethical and reputational harms.
DATA SCIENTISTS & MODEL DEVELOPERS
MODEL VALIDATORS, RISK & COMPLIANCE OFFICERS
INTERNAL AUDITORS
C-SUITE EXECUTIVES
Map Your Current State
to the FAIRLY Solution
Right now AI teams are facing growing regulatory requirements and the impossible task of resourcing a complex new system of model-to-market risk management.
1. POLICIES
New policies and updates like SR11-7, SS3/18, proposed EU AI regulations, Responsible AI guidelines (300+), industry and company-internal policies, fair-lending act, etc.
2. CONTROLS
Inconsistent and time consuming manual validation and attestation.
3.REPORTS
Regulatory and compliance reports that differ by authors, readers, committees, countries, regions, jurisdictions, etc.
4. RISK
Iterating towards explanability and monitoring without standardization.
5.BIAS
Custom internal tools with administrators that continuously require maintenance
6.DATA PRIVACY
Test for fair machine learning on sensitive data limited on a case-by-case basis.
Automate model risk management at the speed of AI
Forward-thinking leaders are joining FAIRLY for a new world of financial and ethical opportunities.
