Data Acceleration
Partner Program (DAPP)
Come with an idea and leave with an architecture, implementation plan and expert advice for your biggest AWS data and ML questions. 100% funded by AWS.
Think tomorrow. Build today.
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.
“From the beginning it was clear Loka was a fit. They have a deep understanding of AI, AWS, healthcare and customer experience. What really impressed me was their ability to communicate AWS’s offerings and offer full-stack, cross functional solutions.”
How it works
DAPP is a 2-4 week program resulting in
architecture recommendations for your data project.
Phase I: Discover
Loka will schedule a series of technical deep dive meetings to understand your architecture and use cases. We’ll discuss design options and offer guidance on the most effective and efficient data or AI/ML architecture.
Phase II: Design
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
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.
Hands-on teams to push you forward.
More than the Data Acceleration Partner Program, Loka® knows AWS services and can connect the dots for your company. We work with many AWS startups and are one of a handful of Advanced Consulting and Omics Partners collaborating on new ML and data analytics solutions.
DAPP Use Cases
Unlock your data and expand your offering. We can guide you through each phase of the data journey.
Data Warehouses and Data Lakes
Before you can do anything meaningful in data & analytics and AIML, you first need to centralize and normalize your data. Loka can help you make the right decision for a centralized data store and design the pipelines needed to get your data from their sources into a conformed data schema.
MLOps
Training a performant ML model is only the first part of the journey. 98% of ML projects still fail in production. Loka can supply the tooling and ongoing monitoring and oversight needed to run your ML models in production reliably and at scale.
Data Privacy and Compliance
Data privacy requirements can be difficult to navigate for all startups – and are especially challenging in regulated industries. Loka has significant experience setting up access control, data governance policies, backup, DR and more for a wide range of compliance standards including SOC2, HIPAA, HITRUST and FDA standards (Gxp, CLIA, 510(k), etc).
AI/ML
AI/ML is changing how we do business – driving revenue and powering better decisions across organizations. Building and training ML models requires specialized talent, however, and it’s hard to know when you have enough data to make the investment in data scientists. Loka can help evaluate your data, select the right approach (AWS service vs self-trained model), and design experiments to get your first AIML project running.
“We’re fortunate to recruit talent from the likes of Apple and Facebook. Loka’s team fit right into that mode of high performance. Loka is indispensable for us.”
