Why Hamsa Buvaraghan Joining Pryon Is a Watershed Moment for Enterprise AI

Welcome to Pryon, Hamsa. Let's build the future.

By Chris Mahl, CEO of Pryon

I've made a lot of big bets in my career. But none felt quite like the conversation I had with Hamsa Buvaraghan three months ago.

We were talking about the future of AI memory—not the incremental improvements everyone's chasing, but the fundamental reimagining of how organizations will think, remember, and act in an agentic AI world. Fifteen minutes in, I knew two things with absolute certainty: first, that Hamsa understood this space as well as almost anyone on the planet. Second, that if we didn't convince her to join us, we'd regret it for years.

Today, I'm thrilled to announce that Hamsa is joining Pryon as our Head of Product.

Why This Matters More Than You Think

Here's what most people miss about the AI revolution we're living through: the model isn't the moat anymore.

Every enterprise can access GPT-4, Claude, or Gemini. The real competitive advantage—the existential question that keeps CIOs and heads of state awake at 3 AM—is this: Can your AI actually remember? Can it access the right information? Can you trust it won't hallucinate or leak sensitive data? Your truth and facts are the IP of consequence for the AI first mission…

This is the AI memory problem. And it's the defining infrastructure challenge of the next decade.

The Force Multiplier We've Been Building Toward

When we founded Pryon, we brought together the team that built Alexa, Siri, and Watson. We've been obsessed with one thing: creating an AI memory layer that enterprises and governments can actually trust.

But pioneering a category and dominating it are two different games.

Hamsa brings something rare: she's lived the full journey from cutting-edge research to billion-dollar products. At Google, she didn't just manage products—she translated DeepMind's research breakthroughs into enterprise solutions, led strategy for multi-billion-dollar AI/ML portfolios, and developed Google Cloud's first Inference TPU. Before that, she shaped Azure Analytics at Microsoft and drove 171% ROI on AI services at SAP.

That's not just impressive credentials. It's the exact DNA we need.

What Gets Me Most Excited

During our final conversation before Hamsa accepted, she said something that gave me chills:

"What you've built is exceptional. But what we're going to build next—that's what keeps me up at night with excitement."

She's seen our 2026 roadmap. She knows what we're planning. And she's right to be excited.

The innovations we have in development will fundamentally transform agentic AI—addressing the critical triplet of hallucinations, data exposure, and verification while unlocking capabilities most people think are five years away.

The gap between what's possible today and what enterprises think is possible is about to collapse.

The Bigger Picture

AI memory isn't a feature. It's not even a product category.

It's the foundational layer that determines whether AI becomes humanity's most powerful tool or its most expensive experiment. Whether agents can act autonomously or remain glorified chatbots. Whether enterprises can truly trust AI with their most sensitive operations.

We're not just building better RAG. We're architecting the memory infrastructure for the agentic era—secure, verifiable, multimodal, and deployable in any environment, including air-gapped facilities.

Hamsa understands this at a molecular level. She's led teams solving analogous challenges at planetary scale. And now she's bringing that expertise to the most important AI infrastructure problem of our generation.

Next…

For our customers and partners: get ready. The pace of innovation is about to accelerate dramatically.

For the market: the AI memory space just got a lot more interesting.

For our team: we've added a force multiplier who's going to push all of us to think bigger and move faster.

This isn't just a great hire. It's the inflection point where Pryon transitions from pioneering a category to defining its future.

The AI memory wars are heating up. And we just added a veteran who's won these battles before—at Google, Microsoft, and SAP.

Welcome to Pryon, Hamsa. Let's build the future.

Read the press release.

Want to learn more about how AI memory is transforming enterprise AI deployment? Connect with me on LinkedIn or visit Pryon.com to see what we're building.

Why Hamsa Buvaraghan Joining Pryon Is a Watershed Moment for Enterprise AI

Welcome to Pryon, Hamsa. Let's build the future.

By Chris Mahl, CEO of Pryon

I've made a lot of big bets in my career. But none felt quite like the conversation I had with Hamsa Buvaraghan three months ago.

We were talking about the future of AI memory—not the incremental improvements everyone's chasing, but the fundamental reimagining of how organizations will think, remember, and act in an agentic AI world. Fifteen minutes in, I knew two things with absolute certainty: first, that Hamsa understood this space as well as almost anyone on the planet. Second, that if we didn't convince her to join us, we'd regret it for years.

Today, I'm thrilled to announce that Hamsa is joining Pryon as our Head of Product.

Why This Matters More Than You Think

Here's what most people miss about the AI revolution we're living through: the model isn't the moat anymore.

Every enterprise can access GPT-4, Claude, or Gemini. The real competitive advantage—the existential question that keeps CIOs and heads of state awake at 3 AM—is this: Can your AI actually remember? Can it access the right information? Can you trust it won't hallucinate or leak sensitive data? Your truth and facts are the IP of consequence for the AI first mission…

This is the AI memory problem. And it's the defining infrastructure challenge of the next decade.

The Force Multiplier We've Been Building Toward

When we founded Pryon, we brought together the team that built Alexa, Siri, and Watson. We've been obsessed with one thing: creating an AI memory layer that enterprises and governments can actually trust.

But pioneering a category and dominating it are two different games.

Hamsa brings something rare: she's lived the full journey from cutting-edge research to billion-dollar products. At Google, she didn't just manage products—she translated DeepMind's research breakthroughs into enterprise solutions, led strategy for multi-billion-dollar AI/ML portfolios, and developed Google Cloud's first Inference TPU. Before that, she shaped Azure Analytics at Microsoft and drove 171% ROI on AI services at SAP.

That's not just impressive credentials. It's the exact DNA we need.

What Gets Me Most Excited

During our final conversation before Hamsa accepted, she said something that gave me chills:

"What you've built is exceptional. But what we're going to build next—that's what keeps me up at night with excitement."

She's seen our 2026 roadmap. She knows what we're planning. And she's right to be excited.

The innovations we have in development will fundamentally transform agentic AI—addressing the critical triplet of hallucinations, data exposure, and verification while unlocking capabilities most people think are five years away.

The gap between what's possible today and what enterprises think is possible is about to collapse.

The Bigger Picture

AI memory isn't a feature. It's not even a product category.

It's the foundational layer that determines whether AI becomes humanity's most powerful tool or its most expensive experiment. Whether agents can act autonomously or remain glorified chatbots. Whether enterprises can truly trust AI with their most sensitive operations.

We're not just building better RAG. We're architecting the memory infrastructure for the agentic era—secure, verifiable, multimodal, and deployable in any environment, including air-gapped facilities.

Hamsa understands this at a molecular level. She's led teams solving analogous challenges at planetary scale. And now she's bringing that expertise to the most important AI infrastructure problem of our generation.

Next…

For our customers and partners: get ready. The pace of innovation is about to accelerate dramatically.

For the market: the AI memory space just got a lot more interesting.

For our team: we've added a force multiplier who's going to push all of us to think bigger and move faster.

This isn't just a great hire. It's the inflection point where Pryon transitions from pioneering a category to defining its future.

The AI memory wars are heating up. And we just added a veteran who's won these battles before—at Google, Microsoft, and SAP.

Welcome to Pryon, Hamsa. Let's build the future.

Read the press release.

Want to learn more about how AI memory is transforming enterprise AI deployment? Connect with me on LinkedIn or visit Pryon.com to see what we're building.

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Why Hamsa Buvaraghan Joining Pryon Is a Watershed Moment for Enterprise AI

Welcome to Pryon, Hamsa. Let's build the future.

By Chris Mahl, CEO of Pryon

I've made a lot of big bets in my career. But none felt quite like the conversation I had with Hamsa Buvaraghan three months ago.

We were talking about the future of AI memory—not the incremental improvements everyone's chasing, but the fundamental reimagining of how organizations will think, remember, and act in an agentic AI world. Fifteen minutes in, I knew two things with absolute certainty: first, that Hamsa understood this space as well as almost anyone on the planet. Second, that if we didn't convince her to join us, we'd regret it for years.

Today, I'm thrilled to announce that Hamsa is joining Pryon as our Head of Product.

Why This Matters More Than You Think

Here's what most people miss about the AI revolution we're living through: the model isn't the moat anymore.

Every enterprise can access GPT-4, Claude, or Gemini. The real competitive advantage—the existential question that keeps CIOs and heads of state awake at 3 AM—is this: Can your AI actually remember? Can it access the right information? Can you trust it won't hallucinate or leak sensitive data? Your truth and facts are the IP of consequence for the AI first mission…

This is the AI memory problem. And it's the defining infrastructure challenge of the next decade.

The Force Multiplier We've Been Building Toward

When we founded Pryon, we brought together the team that built Alexa, Siri, and Watson. We've been obsessed with one thing: creating an AI memory layer that enterprises and governments can actually trust.

But pioneering a category and dominating it are two different games.

Hamsa brings something rare: she's lived the full journey from cutting-edge research to billion-dollar products. At Google, she didn't just manage products—she translated DeepMind's research breakthroughs into enterprise solutions, led strategy for multi-billion-dollar AI/ML portfolios, and developed Google Cloud's first Inference TPU. Before that, she shaped Azure Analytics at Microsoft and drove 171% ROI on AI services at SAP.

That's not just impressive credentials. It's the exact DNA we need.

What Gets Me Most Excited

During our final conversation before Hamsa accepted, she said something that gave me chills:

"What you've built is exceptional. But what we're going to build next—that's what keeps me up at night with excitement."

She's seen our 2026 roadmap. She knows what we're planning. And she's right to be excited.

The innovations we have in development will fundamentally transform agentic AI—addressing the critical triplet of hallucinations, data exposure, and verification while unlocking capabilities most people think are five years away.

The gap between what's possible today and what enterprises think is possible is about to collapse.

The Bigger Picture

AI memory isn't a feature. It's not even a product category.

It's the foundational layer that determines whether AI becomes humanity's most powerful tool or its most expensive experiment. Whether agents can act autonomously or remain glorified chatbots. Whether enterprises can truly trust AI with their most sensitive operations.

We're not just building better RAG. We're architecting the memory infrastructure for the agentic era—secure, verifiable, multimodal, and deployable in any environment, including air-gapped facilities.

Hamsa understands this at a molecular level. She's led teams solving analogous challenges at planetary scale. And now she's bringing that expertise to the most important AI infrastructure problem of our generation.

Next…

For our customers and partners: get ready. The pace of innovation is about to accelerate dramatically.

For the market: the AI memory space just got a lot more interesting.

For our team: we've added a force multiplier who's going to push all of us to think bigger and move faster.

This isn't just a great hire. It's the inflection point where Pryon transitions from pioneering a category to defining its future.

The AI memory wars are heating up. And we just added a veteran who's won these battles before—at Google, Microsoft, and SAP.

Welcome to Pryon, Hamsa. Let's build the future.

Read the press release.

Want to learn more about how AI memory is transforming enterprise AI deployment? Connect with me on LinkedIn or visit Pryon.com to see what we're building.