Discover how Neurix is building the next generation of voice AI that sounds and reacts like a human in this conversation with Peeyush, former Google technologist and co-founder of Miracle Labs.

Peeyush shares how Neurix is solving the toughest challenges in conversational AI — from eliminating latency to creating natural, real-time dialogue that mirrors human interaction. He explains why voice is the hardest frontier in AI, how Neurix’s proprietary models manage conversation flow, and what it takes to integrate voice agents into enterprise systems at scale. Learn how Neurix is combining low-latency speech recognition, dialogue management, and large language models to deliver seamless, multilingual customer experiences.

If you’re a business leader, product builder, or AI professional interested in how human-like voice agents are transforming customer support and enterprise communication, this episode reveals the future of intelligent conversation.

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This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents.

Visit https://agntcy.org/ and add your support.


Can AI and RNA testing make illness optional?

In this episode, Eye on AI host Craig S. Smith sits down with Naveen Jain, founder and CEO of Viome, to explore how RNA sequencing and artificial intelligence are transforming our understanding of chronic disease. Jain shares how a personal tragedy led him to launch Viome, a company on a mission to digitize the human body, predict illness before symptoms appear, and revolutionize healthcare.

Together they discuss how Viome uses metatranscriptomics to analyze microbiome and human gene expression, what makes RNA a better indicator of health than DNA, and how large molecular AI models are paving the way for early detection of cancer, diabetes, Alzheimer’s, and more. Jain also reveals his bold entrepreneurial framework—“Why this, why now, why me?”—and his belief that asking better questions is the real key to innovation.

If you’re interested in the intersection of AI, biotechnology, and human longevity, this is an episode you won’t want to miss.


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This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

Joel Hron, Chief Technology Officer at Thomson Reuters, joins Eye on AI to unpack the future of agentic systems and what it takes to build them responsibly at enterprise scale.

We dive into the shift from prompt-based AI to true agentic workflows capable of planning, reasoning, and executing complex tasks. Joel breaks down how Thomson Reuters is deploying generative AI across law, tax, risk, and compliance, while keeping human experts in the loop to ensure trust and accuracy in high-stakes domains.

Topics include:
- What separates agentic AI from simple prompt-based tools
- How “agency dials” (autonomy, tools, memory) change system behavior
- Infrastructure and architecture required for multi-agent collaboration
- Why human verification and user experience design are essential for trust
- The future of coding, engineering skills, and AI adoption inside enterprises

If you want to understand how a 170-year-old company is reinventing itself with AI — and what’s next for agentic systems in business and knowledge work — this conversation is a must-listen.

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How do we get from today’s AI copilots to true human-level intelligence? In this episode of Eye on AI, Craig Smith sits down with Eiso Kant, Co-Founder of Poolside, to explore why reinforcement learning + software development might be the fastest path to human-level AI.

Eiso shares Poolside’s mission to build AI that doesn’t just autocomplete code — but learns like a real developer. You’ll hear how Poolside uses reinforcement learning from code execution (RLCF), why software development is the perfect training ground for intelligence, and how agentic AI systems are about to transform the way we build and ship software.

If you want to understand the future of AI, software engineering, and AGI, this conversation is packed with insights you won’t want to miss.

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(00:00) The Missing Ingredient for Human-Level AI
(01:02) Eiso Kant’s Journey
(05:30) Using Software Development to Reach AGI
(07:48) Why Coding Is the Perfect Training Ground for Intelligence
(10:11) Reinforcement Learning from Code Execution (RLCF) Explained
(13:14) How Poolside Builds and Trains Its Foundation Models
(17:35) The Rise of Agentic AI
(21:08) Making Software Creation Accessible to Everyone
(26:03) Overcoming Model Limitations
(32:08) Training Models to Think
(37:24) Building the Future of AI Agents
(42:11) Poolside’s Full-Stack Approach to AI Deployment
(46:28) Enterprise Partnerships, Security & Customization Behind the Firewall
(50:48) Giving Enterprises Transparency to Drive Adoption

Discover how enterprises can successfully adopt and scale agentic AI to create real business impact in this conversation with Florian Douetteau, CEO and co-founder of Dataiku.

Florian shares why democratizing AI across the enterprise is essential, how to prevent agent sprawl, and what it takes to build a governance framework that keeps your data secure while enabling innovation. Learn about Dataiku’s enterprise AI blueprint, its partnership with NVIDIA, and how global companies are using agentic workflows to accelerate R&D, optimize operations, and stay competitive.

If you’re a business leader, CTO, or data professional looking to scale AI safely and effectively, this episode is your playbook for the future of enterprise AI.

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00:00 Intro
00:31 Florian’s Background & Dataiku’s Founding
03:00 Enterprise Blueprint for AI with NVIDIA
05:13 Unique Needs of Financial Services
07:09 Building Agents on Dataiku
09:22 Permissioning & Governance
11:17 Agent Lifecycle Management
13:20 State of Agent-to-Agent Systems
15:02 Real-World Use Cases of Agents
16:28 The Most Complex Agents in Production
19:01 Future Vision: Headless Organizations
21:04 Human-Like Qualities of Agents
24:56 The LLM Mesh & Model Abstraction
28:55 Guardrails & Compliance
31:12 No-Code + Code-Friendly Collaboration
36:12 Breaking Silos & Centers of Excellence
41:36 Distribution & Seat Allocation
43:34 Most Common Agents by Industry
47:02 The State of Enterprise AI Adoption

Try OCI for free at http://oracle.com/eyeonai

This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking.

Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved.


AI-generated code is exploding, but reviewing it all has become the new bottleneck for engineering teams. In this episode, Sahil Bansil from CodeRabbit reveals how their AI-powered platform is transforming the code review process, helping developers ship faster without compromising quality. He explains how CodeRabbit uses advanced LLM context engineering to deliver senior-level review quality, reduce pull request merge times by up to 50%, and catch more bugs before they reach production.

Whether you’re a developer, engineering manager, or CTO, this conversation shows why automated code review is essential in the AI era and how CodeRabbit can help your team scale software delivery while keeping quality high.

Cut Code Review Time & Bugs in Half. Instantly with CodeRabbit: https://www.coderabbit.ai/

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(00:00) LLMs & Why Context Matters
(02:26) Meet Sahil Bansil from CodeRabbit
(04:04) AI Code Boom & The Review Bottleneck
(06:05) Why CodeRabbit Focused on Reviews, Not Generation
(09:55) Keeping Humans in the Loop for Code Quality
(14:30) IDE Reviews vs PR Governance
(17:51) Inside CodeRabbit’s Context Engineering
(20:42) Building Context from Code Graphs & Jira Tickets
(22:15) Eliminating AI Hallucinations with Verification
(27:19) Empowering Junior Developers & Legacy Code Support
(32:40) CodeRabbit’s Open Source & Enterprise Success Stories
(36:56) Cutting Review Times & PR Merge Delays
(44:35) Scaling CodeRabbit & The Growing Market

Discover how Sema4.ai is redefining enterprise AI with a platform built to help businesses build, operate, and scale SAFE AI agents.

In this conversation, CTO and co-founder Ram Venkatesh explains why simply generating insights isn’t enough and why enterprises need AI that can act on those insights reliably, securely, and at scale.

If you want to understand the future of agentic AI and how to safely scale AI across your organization, this episode is a must-watch.


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(00:00) The Data-to-Action Gap
(00:38) Ram’s Big Data Background
(03:22) Why RPA Failed & Agents Win
(04:39) Conversational Agents vs Manual Workflows
(06:28) The Power of a Semantic Layer
(08:20) Runbooks: Capturing Intent, Not Just Steps
(11:16) Connecting Data Across Systems
(15:12) How Sema4.ai Keeps AI Secure
(17:37) From 20 to 2,000 Agents: Scaling the Fleet
(20:20) Choosing the Right Agent Platform
(26:22) Process Architects: The New Role in AI
(29:00) Why Finance & Healthcare Lead in Adoption
(30:04) Sema4.ai’s Pricing & Adoption Playbook
(41:29) Scaling Faster with Snowflake Deployment
(43:10) ISVs & Domain Experts as Agent Builders

Enterprise AI Agents for Work, Service and Process: www.kore.ai


Kore.ai founder and CEO Raj Koneru breaks down how enterprises are moving beyond chatbots into agentic AI that actually ships.

We get into the no-code tooling behind multi-agent workflows, agentic RAG, guardrails that keep outputs in scope, and why a control layer for governance is now essential. Raj shares real scale numbers, the three Kore.ai product lanes for customer and employee experience, and how partnerships with Microsoft and AWS let teams build where they already run.

If you care about building secure, explainable AI agents that integrate fast and scale cleanly, this one is for you.


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(00:00) Raj Koneru’s Journey & The Birth of Kore.ai
(03:10) From Chatbots to Enterprise-Grade Agents
(06:33) Security, Scale & Proof in the Market
(07:04) What Agentic AI Really Means
(12:16) Building & Governing AI Agents
(17:26) Kore.ai’s Product Lines & Differentiation
(20:22) Industry Applications & Case Studies
(28:17) User Experience & Change Management
(34:46) Governance, Identity & Cost Controls
(39:56) Adoption Timelines & Market Outlook
(43:51) Roadmap & Partnerships
(47:38) Future of the Enterprise AI Landscape