Welcome to the Deep Labs Journey!
Deep Labs is where innovation takes flight. This infographic walks you through our streamlined process, from the initial spark of an idea to the deployment of impactful AI prototypes. We're currently thriving with 6 active pods, each making significant progress towards early wins. It all begins with an idea – let's explore how it evolves!
1. The Spark of Innovation: Idea Submission
Every great solution starts with a compelling idea. Our continuous idea intake process ensures that valuable insights from the community and internal teams are captured and considered.
2. Building the Team: Technical Talent Signups
Deep Labs thrives on diverse expertise. If you're a developer, data analyst/engineer, or ML/AI specialist looking to contribute to rapid prototyping, we invite you to join our growing team.
3. Prioritization & Pod Creation
Once submitted, ideas undergo a rigorous review to ensure alignment with Deep Funding's strategic goals and feasibility for rapid prototyping. This process leads directly to the formation of dedicated pods.
Cluster Review & Prioritization
(Problem Statement Confirmation)
Idea Passed to Labs
Pod Creation
4. Deep Labs in Action: Prototyping & Collaboration
With ideas selected and pods formed, the rapid prototyping begins! Our current 6 pods are actively developing innovative solutions, fostering a culture of continuous progress and shared learning.
Our Active Pods:
All pods are progressing well, and we look forward to quite a few early wins!
The Prototyping Workflow:
Discovery & Alignment Meeting
(Define MVP/Prototype, Assign Tasks)
Weekly Blocker Calls
Weekly Win Calls
(With all Lab Stakeholders)
5. Quality Assurance & Deployment
Ensuring quality and community alignment is paramount before any prototype is deployed for wider use. Our multi-stage QA process ensures robust and valuable solutions.
Prototype Ready
(Pod Deemed Ready)
QA Process Initiated
(Lab QA)
QA to All Circles & Community
Cluster Review & Final Approval
Deployment for Wider Use