GoML’s AI Growth Blueprint: From 4 to 70+ Team

TL;DR:

Growth of GoML: Started with 4 members, now a team of 70+ in under 9 months.
Specialization in AWS: GoML became an AWS Advanced Consulting Partner, working on GenAI projects.
Key focus: Helping customers implement GenAI with AWS, focusing on reusable, scalable use cases.
Partnerships: GoML leverages AWS’s flexibility, Amazon Bedrock platform, and funding programs for faster project deployment.
Advice for new companies: Prioritize partnerships and scalable solutions to support client needs effectively.

Building a GenAI Practice: Insights from GoML’s Journey

In our chat with Rishabh Sood, co-founder of GoML, he shared their journey from a 4 person team to a 70+ member company and $1 million in revenue in 9 months.

Their success is built on using AWS and GenAI to deliver scalable AI solutions to clients.

Key points are partnerships, AWS Bedrock and being able to deploy AI use cases across industries like healthcare and finance.

Rishabh highlighted the importance of AWS partnerships in scaling GoML’s AI business, so they can use AWS’s infrastructure and funding to quickly build and depl

He mentioned they focus on reusable AI use cases with over 50 solutions built, so businesses can integrate AI in healthcare, finance and education.

GoML’s approach to rapid prototyping – running pilots in under 4 weeks – has helped clients get ROI from AI tools while ensuring scalability through partnerships with tech leaders like AWS.

GoML uses AWS Bedrock for flexible AI models and Langchain & Lyzr to orchestrate LLM workflows to speed up their d

They also keep their sales teams lean, invest in tech and rely on partnerships for growth. Their practical approach to consumable AI models and finding the right use cases is key to success in GenAI.

Startups can follow their model by building strong tech foundations and reusable AI solutions.

Their story shows how GoML has become a GenAI leader, helping enterprises with AI through strategy, partnerships and tech expertise.