The AI Lab Accelerator
Prudential has launched an AI Lab in partnership with Google Cloud, aimed at transforming healthcare and enhancing operational excellence in the insurance industry. This initiative, the first of its kind in Asia and Africa, focuses on using advanced AI and machine learning to improve customer experiences, streamline processes, and increase access to affordable healthcare.
Startups are invited to collaborate with the Lab to create innovative AI-driven solutions, leveraging Prudential's resources and Google Cloud's technology to benefit millions across the regions. Submissions are now open for innovators looking to make an impact in insurance and healthcare.
Making Your Application
1. Click Apply Now and create your account on The Delta.
2. Fill out our application form. This should take no longer than 10 minutes.
3. Upload your submission deck. Please refer to the Submission Guide available below to help structure your submission deck.
4. Agree to the Terms & Conditions.
5. Click Submit or Save Your Draft to continue later.
If you have any questions about the application process, please write to us at community@padang.co. Thanks!
Challenge Statements
HealthHealth and Wellness Management
WealthClient Accessibility to Wealth Advisory
Tech-Powered DistributionExpertise and Advisory Augmentation
Core Insurance & OpsExpertise and Client Experience Augmentation
Open Category
Who Should Join
Open Category
We welcome teams representing:
- Government agencies
- Local enterprises
- Startups
We also welcome teams that are formed independently.
Student Category
We welcome student teams located in Singapore
- Universities
- Polytechnics
- ITEs
Timeline
Note that these dates are subject to change.
Week of 2 December
Information Sessions
15 December
Early Submission
15 January 2025
Submission Deadline
January-February
Evaluation
February
Cohort Announcement
March-July
Programme
Evaluation Criteria
Innovativeness
20%
- Level of Innovation: Is the solution novel or does it offer a unique approach to a problem compared to current market offerings?
Effectiveness and
Impact
20%
- Value Proposition: How significant is the impact of the solution on improving processes, reducing costs, increasing customer satisfaction, or creating new revenue streams?
Capability
20%
- Team Strength: Does the company have the technical, industry, and business expertise to execute the project? What is the company’s track record in developing and deploying similar solutions?
- Commitment: How committed is the team to seeing the project through to market?
Capability
40%
- Technical Soundness: Is the AI technology used (e.g., machine learning models, natural language processing, computer vision) technically viable and proven in practice?
- Stage of Development: Is the solution at a prototype stage, MVP, or already in production? How much further development or assistance is required?
- Value: Are there clear advantages to the company by joining this acceleration programme? How can the company benefit and what value does it bring to the AI Lab?