Branded Content

Illustration by Nalini Nirad

Veltris CEO Shares Vertical AI Strategy with ‘Build, Modernize, Monetize’ Framework

Veltris, an AI-first digital product engineering company, approaches AI not as a technology add-on but as an orchestrator for long-term industry transformation. In a conversation with AIM, CEO Hiral Chandrana explained how the company applies its ‘Build, Modernize, Monetize’ strategy to help clients navigate AI across micro industries and extract measurable business value.

Extracting Value from AI

The AI focus has shifted. Enterprises are no longer asking why they should use AI. The real challenge is how to scale it in ways that create tangible business value. Too many generic pilots have stalled because they don’t address industry-specific workflows or deliver measurable ROI. 

“True value will come from applying AI to industry-specific use cases,” Chandrana explained. “That’s why I’m bullish about vertical AI. The business impact comes when applications and processes are integrated with domain expertise to solve specific challenges in  industries or micro industries.”

He added that this shift is already visible in the market. The traditional Vertical SaaS companies will have to incorporate AI into their solutions as the next wave.

Vertical AI is addressing challenges such as AI powered workflows in dental clinics or hospitals, AI driven fraud detection, AI based preventative maintenance in Manufacturing settings. 

Veltris applies this principle as an integrator across micro-industries such as HealthTech, Dental Care, PBM platforms, Engineering & Construction, Logistics, Secure Networking in Communications, and Smart factories, embedding AI directly into workflows where outcomes can be measured in innovation cycle time, revenue lift, and customer experience

Building and Modernizing Intelligent Systems

The first two elements of the framework, Build and Modernize, reflect the dual reality companies face. Chandrana said that some can create AI-native systems from scratch while others need to re-architect existing platforms.

“Just like companies that were born cloud-native had an edge 20 years ago, today companies that are AI-native have the advantage,” he added. 

He further clarified that at the same time, many firms cannot abandon their existing systems. “Not every company is going to build a new system. Modernization means taking what exists and moving it into AI-first architectures,” Chandrana said. Veltris works with clients whose software already serves tens of thousands of clinics, where the challenge is not replacement but modernization with AI integrated industry specific workflows.

Monetizing AI Through Industry Workflows

The final piece of the framework, Monetize, focuses not just on cost savings but on unlocking new revenue streams from data and Vertical AI-powered workflows.

“Exclusive datasets integrated with industry workflows combined with IIoT and LLM’s create differentiated offerings that become barriers to competition,” Chandrana said. 

Veltris is driving this shift across industries. In Healthcare, the company is helping Healthtech platforms (including PBM platforms) to launch alternative value models that disrupt the large payers. In Telecom, Veltris assists clients build AI-native infrastructure where anomaly detection and predictive intelligence power differentiated service tiers. In wealth management, firms are monetizing proprietary data through advisor copilots and insights that generate new client offerings.

Chandrana articulated that Veltris works with private equity firms that own health tech platforms and dental companies, enabling them to be part of the journey in creating new revenue streams through build, modernize and monetize strategies.

For Chandrana, this is the ultimate promise of AI: to move from efficiency to monetization — where AI doesn’t just streamline workflows, it creates entirely new business models in specific industries.

A Framework for the Future

Veltris believes its framework is scalable across industries. “There is nothing earth-shattering about the framework. It is simple but scalable,” Chandrana said. “What matters is execution, making it more nuanced and industry-specific.”

He added that private equity is becoming a significant force in shaping technology investments, especially in mid-market and micro-industry segments. Veltris, as part of the private equity ecosystem, sees this as an important dimension of future growth.

As organizations move from pilots to production-level AI, Veltris expects winners to emerge from those that can apply AI at scale or apply it to industry specific pain points. “Build, Modernize, Monetize” remains the company’s way of aligning digital technology execution with business outcomes to deliver the promise of Vertical AI.

Picture of Siddharth Jindal
Siddharth Jindal
Siddharth is a media graduate who loves to explore tech through journalism and putting forward ideas worth pondering about in the era of artificial intelligence.
Related Posts
Download the easiest way to
stay informed