Enterprise-Ready Solutions
Compliance Protection
Safeguard against regulatory violations and discrimination claims.
Audit-Ready Reports
Generate documentation that demonstrates due diligence efforts.
Brand Equity
Preserve trust with diverse audiences through authentic representation.
Team Enablement
Empower your teams with educational resources and training.
Detect Before It's Too Late
Our proprietary scanning technology identifies bias patterns in AI-generated imagery. By detecting these issues before deployment, we help you maintain trust with diverse audiences while avoiding potential PR crises, compliance and regulatory risks.
Digital Colorism provides enterprise-grade protection against the subtle biases that damage brand equity and erode consumer confidence.
The Hidden Risk in AI Representation
AI digital humans often distort identity.
Bias isn't just a glitch; it's a risk to trust and reputation that can undermine your brand's integrity and expose your organization to compliance violations.
When AI systems misrepresent cultural identity through biased visual outputs, the consequences extend beyond technical failures to real business and ethical impacts.
7 Bias Traps to Spot in AI Digital Humans
1
Skin Tone Distortion
AI systems often default to lighter skin tones or apply unnatural color grading to darker complexions.
2
Feature Homogenization
Diverse facial features become standardized toward Western ideals, erasing cultural distinctiveness.
3
Hair Misrepresentation
Hair textures and colors are frequently altered, straightened, recolored or simplified by AI algorithms.
Our Prototype in Action
Our advanced prototype detects bias across cultural components of visual identity, providing quantifiable metrics that help your team make informed decisions.
The system flags problematic patterns in real-time, allowing for immediate corrective action before content reaches your audience.
Image for display
How It Works
Upload
AI systems often default to lighter skin tones or apply unnatural color grading to darker complexions.
Analyze
Our algorithms assess against 27 bias markers across cultural dimensions.
Report
Receive a detailed compliance report with actionable recommendations.
Integration options available for design workflows and content management systems, enabling seamless bias detection within your existing processes.
Our Services
Bias Assessment
Comprehensive evaluation of your AI systems, training data, and digital human outputs to identify patterns of bias and representation gaps.
Strategic Consulting
Executive advising on implementing equitable AI practices across your organization, with custom roadmaps for addressing digital representation challenges.
Technical Solutions
Implementation of our proprietary tools to detect and correct bias in your AI systems, with ongoing monitoring and improvement protocols.
Team Training
Hands-on workshops for product, design, and engineering teams on creating more inclusive AI systems and recognizing subtle forms of digital bias.
AI bias in numbers
78%
Increased Risk
Of enterprises using AI Face Compliance challenges related to representation bias.
$2.4M
Average Cost
Of-bias related incidents affecting brand reputaion and trust.
94%
Detection rate
Our systems identify potential biases that standard testing misses.
About the Founder
Christelle Mombo-Zigah
Tech leader, founder, and trusted advisor in AI ethics and digital representation with over 15 years of experience at the intersection of technology and cultural identity.
Christelle has worked in Fortune 500 companies on implementing ethical AI practices that respect diversity while driving business results.
What Our Early Partners Say
“Thank you for the throughout assessment using the Digital Colorism framework. I deeply appreciate your expertise in quantifying bias, and I am committed to addressing the issues you identified. Your guidance is a clear roadmap for improving our tool to better serve diverse audiences.”
— Chief Executive Officer, Global Generative AI Platform