Build stronger from where you are
A four-month program for 30 early-stage founders building in AI and AI research.
You come with whatever level you're at. The purpose is to help you move significantly beyond it.
- Duration
- 4 months
- Size
- 30 founders
- Format
- Fully virtual
- Entry
- No fee
Overview
The Founder Cohort is a Swayam Community program. Participation is free. There is no fee, membership model or commercial service attached to it.
The cohort is limited to 30 early-stage founders in AI and AI research. The objective is stronger founder thinking, stronger technical depth, and a clearer path toward incubation readiness.
How it will work
- 01
The program will run for 4 months.
- 02
The topics will be divided across structured sessions throughout the 4 months.
- 03
Each session will be around 4 hours and completely virtual.
- 04
Sessions will go deep into the topics rather than being short talks.
- 05
Daily conversations and discussions will happen within the community.
- 06
You can bring your current problems, experiments, technical questions and decisions into those conversations.
- 07
The sessions will build progressively rather than being isolated workshops.
- 08
The objective is to finish the 4 months with stronger technical depth, stronger founder thinking and a much clearer path toward incubation readiness.
What we work on
Founder thinking and technical depth in the same program. Topics are divided across the four months.
General
- 01
Founder thinking and decision making
- 02
How to evaluate and develop an idea properly
- 03
Problem discovery and validation
- 04
Product thinking and building the right thing
- 05
How to turn an early idea into something real
- 06
Feedback on your startup and the decisions you're making
- 07
Learning how to identify what you don't know
- 08
Building discipline around execution and experimentation
- 09
Understanding what needs to be strengthened before incubation
- 10
A structured and organized environment where you can consistently learn, build and improve
Technical
- 01
Understanding AI beyond simply using AI APIs
- 02
How AI systems work and how to think about them technically
- 03
Model selection and understanding model capabilities
- 04
AI architecture and system design
- 05
Agents and agentic systems
- 06
AI research, how to read, understand and question research
- 07
Designing experiments and evaluating results
- 08
Working with models, datasets and AI infrastructure
- 09
Understanding emerging AI technologies and where they actually matter
- 10
Building technical depth progressively based on where you currently are
You don't need to already know all of this.
You come with whatever level you're at. The purpose is to help you move significantly beyond it.