Your data is vital to driving differentiated customer experiences, but unlocking it is often easier said than done. DAPP is designed by AWS to help startups reach their data and AI/ML goals with support from trusted partners like Loka. We offer startups the substantial experience needed to build data infrastructure and strategy the right way from day one, with the help of AWS services like Amazon Athena, Amazon Redshift and Amazon CloudSearch.

How it works:

Phase I - Discover (2-3 weeks) Loka will schedule a series of technical deep dive meetings to understand your architecture & use cases. We’ll discuss design options and offer guidance on the most effective and efficient data or AI/ML architecture utilizing services such as Amazon SageMaker, AWS Glue, Amazon Kinesis Firehose, Amazon QuickSight etc.

Phase II Design (1-2 days) Loka will ideate and whiteboard precise data architecture designs to match your needs. You’ll leave with clear recommendations on the appropriate AWS services to use, architecture and an implementation roadmap.

Beyond DAPP (Implement the Project) After receiving the roadmap and architecture recommendations, you can opt to continue working with Loka to implement the proposal, drawing on financial support from AWS funding programs such as Jumpstart.