Spyne has eschewed positioning itself as a low-cost alternative to legacy incumbents – a common playbook for Indian SaaS players – and has instead established itself as a premium high-quality offering accessible to all segments of the industry.
Spyne has proven that complex AI solutions can be sold and deployed globally without expensive field sales and services by productizing their domain expertise into a suite of self-serve demos and easy onboarding workflows.

The AI transformation sweeping through enterprise software isn’t merely a technological shift – it’s a business model revolution disguised as a technology upgrade. 

At its heart lies a tectonic shift in how software creates value for businesses, as the traditional paradigm of software-as-a-service gives way to something far more powerful: “service-as-software.”

As we prepare for SaaSBoomi Annual ’25, one question comes to the centre. How much of the content should be about AI? We had differing opinions. We then ran a survey with founders. The verdict was that 90% of the content should be about AI and how to understand the opportunities. There was also a fear of missing out and the apprehensions about what this transition could mean to our companies.

Today, software is a tool to enhance productivity, but with AI models, softwa®e will do the work. What happens when a model can do most of the work of an accountant, lawyer, or doctor? It changes the market for software to the market for “work”.

Shekhar leveraged his many decades of nurturing startups experience and generously shared insights on a broad set of ideas. This blog tries to capture the key messages that resonate with startups.

Understanding Generative AI – exploring AI trends, adoption in SaaS and the road ahead.

If you’re building the future with GenAI, we invite you to be part of IndAI. Together, we’ll learn, grow, and shape the future of AI innovation in India.

Modern business software is built on a constraint that no longer exists. With AI, the entire structure is being re-examined.

Understanding how foundational models like GPT work. In particular, a dive into the intuition (and history) of the model architectures that underpin such models.