Bob Dubois
CEO
Wodan AI
Wodan AI provides a secure data collaboration platform for Fintech organizations, utilizing fully homomorphic encryption and zero-knowledge proofs to protect sensitive information during AI model interactions. This technology enables Fintech providers to extract insights and build models from encrypted data without exposing it, ensuring compliance with data protection regulations and preventing data leaks.
- Artificial Intelligence
- Enterprise Software
- Financial Technology
- Software Only
Updated 6 months ago
Funding
Funding not disclosed
Funding rounds are not available yet.
Founders
Product
Problem
Fintech organizations face increasing challenges in protecting sensitive data while leveraging AI for critical functions like KYC, credit scoring, and fraud detection. Traditional AI model interactions can expose this data, leading to compliance violations and potential data leaks. Collaboration across organizations and borders further exacerbates these risks, hindering the development of more robust AI models.
Solution
Wodan AI offers a secure data collaboration platform that enables Fintech providers to extract insights, build AI models, and collaborate securely without compromising data privacy. The platform utilizes fully homomorphic encryption (FHE) and zero-knowledge proofs (ZKP) to ensure that sensitive data remains protected throughout the AI model interaction process. Wodan AI's "Dropnir" software sits between the application and the AI model, serving as a thin API layer that encrypts data before it reaches the model and decrypts the results before they are returned to the customer, ensuring that the model owner never views the request, data, or answer in plaintext. This approach allows organizations to maintain compliance with data protection regulations, foster trust with customers and partners, and build better models from more data, all while keeping the data end-to-end encrypted.
Target Audience
Wodan AI targets Fintech organizations, Insurtech companies, and financial services businesses that require secure data collaboration and AI model interaction while adhering to strict data privacy regulations.
Features
- Employs fully homomorphic encryption (FHE) to allow AI models to process encrypted data without decryption.
- Utilizes zero-knowledge proofs (ZKP) to verify the integrity of the AI provider.
- "Dropnir" software acts as a secure API layer between applications and AI models.
- Supports multi-model architecture for diverse AI applications.
- Offers a pay-per-use billing model.
- Facilitates secure data collaboration across organizations and borders.
- Compatible with KYC, credit scoring, fraud detection, and algorithmic trading solutions.
- Provides a SaaS platform for metrics collection and usage-based billing.