Home

IBM Build Partners - Sirion at IBM TechXchange Conference

IBM Build Partners - Sirion at IBM TechXchange Conference

Savio Rodrigues and Kanti Prabha join Steven Dickens to share their insights on leveraging IBM's hybrid cloud and AI technology to elevate solutions. Discover how Sirion is tackling critical business problems with IBM's Watson.

What problems can IBM’s watsonx solve? Six Five Media host Steven Dickens is In the Booth at IBM TechXchange, where he’s joined by IBM’s Savio Rodrigues, VP, Ecosystem Engineering & Developer Advocacy, and Sirion's Kanti Prabha, President and Co-founder, for a conversation on partnering with IBM to enhance their solutions using hybrid cloud and AI technology.Their discussion covers:

  • Partnering with IBM as an ISV or MSP to leverage IBM hybrid cloud and AI technology
  • Expanding into new markets with IBM's global reach and networks
  • Insights into Sirion AI and its integration with IBM's Watson to solve business problems
  • Achievements and outcomes from using WatsonX solutions for businesses and customers
  • Future business problems Sirion aims to solve with WatsonX technology

Learn more at IBM and Sirion.Watch the video below at Six Five Media, and be sure to subscribe to our YouTube channel, so you never miss an episode.

Transcript

Steven Dickens:
Hello and welcome. I’m your host Steven Dickens. You’ve come into us live from TechXchange with IBM. We’re here for another Six Five. I’m joined by Savio and Kanti. Hey guys, welcome to the show.

Kanti Prabha:
Thank you, Steven.

Steven Dickens:
So let’s dive straight in. Tell us a little bit about Sirion. We’ve got to do the Lord of the Rings stuff. It’s compulsory, but tell us a little bit about the company.

Kanti Prabha:
Sure. So contracts are the heart of business. Any two companies, when they do business with each other, they talk about contracts. They write contracts. Sirion is an AI-powered AI-native contract management platform, and it helps customers write better contracts, stronger contracts. It helps you look at existing contracts and understand what your risks are in it, and then it helps manage those risks and get you to a stronger path from a business perspective.

Steven Dickens:
You’re wearing the watsonx T-shirt. Kudos for being on brand. Tell me a little bit about how you guys are collaborating and what you’re doing with watsonx.

Savio Rodrigues:
Yeah, thanks Steven. So I’m from the ecosystem engineering team at IBM, and what we do is we embed IBM software into our partner solutions like Sirion. So when you hear about AI for contracts, part of that AI is coming from IBM and it helps us get IBM technology to a much larger set of clients than we could do directly by IBM.

Steven Dickens:
So how’s that manifesting for the clients? I think I’m seeing the pattern of the use case here, but what’s that actually translating to? What are you seeing as that kind of, as they look at watsonx, they look at what you guys are doing for contract management, how’s that kind of becoming real for them and what are some of the benefits that they’re seeing?

Kanti Prabha:
Sure. So let me break that down for you. Sirion is primarily for very large enterprises, however, contracts are for everybody. So it’s a platform that anybody can use. What we’ve done is we’ve embedded a whole range of AI agents within contract management, which does each of these agents do different things. Some create contracts. Some analyze contracts. And for enterprises particularly AI can be daunting. AI can be something one looks at and says, “Can I trust it?” And we are in the world of contracts, which are super serious stuff. So you-

Steven Dickens:
It’s where the rubber hits the road for a lot of these relationships.

Kanti Prabha:
Exactly. Exactly. So you need AI that can be trusted, AI that can be explained, AI that can scale, and AI that is not sending your precious data out there. And watsonx was a great partner. It follows exactly those three principles of open models, models that you can trust, models that are completely explainable. And the three layers of watsonx, which is watsonx.ai, which is the ability to have different forms of models for different use cases works for us. Second, watsonx.gov, which explains every bit of data going in into the AI. So there is no doubt what is happening to my data, where are the answers coming from? And then watsonx.data, which allows you to then look at all of this information in a very analytical way. So the partnership is not just two companies coming together to sell or to build, but it is philosophies that seem to align very well.

Steven Dickens:
It’s deeper than that. It’s deeper than that. So we’ve got to get going and we’ve got to wrap this up. What would the one takeaway be from you if people are watching this? Thinking about watsonx and what it’s doing with Sirion, what would the takeaway be?

Savio Rodrigues:
For me, the takeaway would be that we couldn’t scale our business without partners like Sirion. Getting their technology in front of their clients and the AI being powered by IBM. So we’re really fortunate to have partners like Sirion.

Steven Dickens:
And what would the Sirion perspective be from that side?

Kanti Prabha:
Look, we are domain experts of the contract space. And IBM is an AI leader. And when two companies like that come together, customers are much more comfortable in the solutions that are provided. But more importantly, the solutions are much more solid and they stand on a very strong base.

Steven Dickens:
So I think that’s a fantastic way to wrap guys. We’ve had a domain leader and an AI leader coming together. You’ve been watching us here at The Six Five coming to you live from IBM TechXchange. Fantastic example of partnership to deliver value as AI becomes real for enterprise clients. Please click and subscribe and check out all those other episodes and we’ll see you next time. Thank you very much for watching.

MORE VIDEOS

Google Cloud Next 2026: The Signals That Matter for Enterprise AI

Patrick Moorhead and Daniel Newman recap Google Cloud Next 2026 live from Las Vegas, breaking down the week's most consequential signals for enterprise AI: the TPU-8 training and inference split, Google's full-stack co-design argument, the data layer's return to the center of the agentic conversation, the Wiz acquisition's integration into the agent security platform, and Google Distributed Cloud's maturation as a sovereign AI deployment path for regulated industries and governments.

AI-Native Defense at Scale: Google Cloud's Security Strategy for the Agentic Era

Francis DeSouza, COO and President of Security Products at Google Cloud, joins Patrick Moorhead at Google Cloud Next 2026 to examine the shift to AI-native enterprise security. The conversation covers the expanding threat surface, Google's AI-powered SOC agent strategy, internal deployment results including 90% faster threat detection, and the integration of Wiz into Google's multicloud security platform.

From Infrastructure to Intelligence: How Google Cloud Is Architecting the Agentic Enterprise

At Google Cloud Next 2026, Patrick Moorhead and Muninder Sambi, VP of Google Distributed Cloud, examine the five infrastructure shifts enterprises must execute to support AI agents at production scale. From Fluid Compute and Agent Gateway to sovereign AI deployment via Google Distributed Cloud, the conversation maps the architectural decisions that determine how far agentic execution can scale.

See more

Other Categories

CYBERSECURITY

QUANTUM