https://codestory.co/podcast/bonus-anusha-iyer-corsha/

Anusha has been in the cybersecurity space for quite some time, starting off in naval research in DC. Further down here career, she had a friend reach out to pitch an idea to build a platform for dynamic machine identification.

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https://codestory.co/podcast/e19-thomas-schlegel-built/

In the past, Thomas was a lead engineer at a professional services organization in Tennessee. While at a conference, he met the CEO of his current venture, and they hit it off. He was intrigued by their company, and several years later, he started working for the company as an individual contributor – and quickly activated his entrepreneur DNA to solve ALL the problems.

In the early 2000s, Yoni Avital was cold-calling software companies from the Yellow Pages in Tel Aviv. He wasn’t a computer science prodigy. He was someone with a Microsoft certification, an economics degree in progress, and an unusual curiosity about how technology could improve people’s workdays.

Fast forward to today, and the company he co-founded, ControlUp, has crossed $100M ARR and a $1B+ valuation. But as the name of this story suggests, that was never the plan. They just wanted to know how many people were logged into a server.

The Question Nobody Could Answer

The idea that became ControlUp emerged between 2008 and 2010, while Yoni and co-founder Asaf Ganot were consulting for a large travel agency. The question was almost embarrassingly simple: how many users are working on each server right now?

There was no real-time way to see it. So they built one.

Download. Double-Click. Done.

The breakthrough wasn’t just the data; it was the experience. Most enterprise monitoring software required weeks of setup, database permissions, and sign-off from half a dozen teams. ControlUp’s unofficial motto became “Download. Double-click. You’re done.“

The first real validation came at that same travel agency. Yoni showed an administrator the tool during a routine visit. By the time he returned the following week, every administrator in the building had it running on their desktop. No sales pitch required! They got a powerful solution that worked instantly and went with it.

The Shift to Autonomous IT

Today, under CEO Jed Ayres, ControlUp has evolved well beyond monitoring. The platform now uses agentic AI to power Autonomous Endpoint Management (AEM), not only surfacing what’s broken but also fixing it automatically before a ticket is ever filed. Over 14 million automated remediations run through the platform every week.

The vision has always been the same: technology that works for people, not against them. The tools to deliver it have just gotten considerably more powerful.

Three things worth taking away:

1. Solve the frustrations others overlook. ControlUp was born from a question so basic it seemed trivial. The problems that feel too small to build a company around are often the ones closest to what people actually need.

2. Ease of deployment is a product decision. The “download, double-click, done” philosophy let ControlUp bypass traditional enterprise sales cycles entirely and earn adoption from the ground up, administrator by administrator.

3. The future of IT is autonomous. More dashboards aren’t the answer. The next chapter is AI that handles the repetitive, predictable, and preventable, so IT teams can focus on work that actually moves the business forward.

Want to go deeper? Read the full founder story, plus see Yoni and Asaf reflect on the journey on camera: Read The Accidental Unicorn

Also, you can check out their story on the ControlUp YouTube channel.

Big time thank you, to our subscribers, listeners, supporters and guests. We couldn’t have done this without you.

https://codestory.co/podcast/making-ai-deterministic-for-developers-and-their-agents-with-patrick-vuong-of-moderne/

Today, we have a special guest on the Code Story podcast – Patrick Vuong, Director of Product at Moderne. Moderne is the agent tools company, building the. Knowledge, discovery and execution tools that AI agents rely on – so they can operator faster, more accurately, and at far lower cost.

In today’s episode, Patrick is going to tell us about the company, and how Moderne is enabling developers to build software faster, and with the best context – using agents and agent tools. Their approach to semantic models produce deterministic over probabilistic, or inference driven, tools, which for this engineer/host, has been a point of skepticism for AI since the beginning.

https://codestory.co/podcast/bonus-aron-dsouza-objection-ai/

Aron made the stark realization that we are a divided society, and do not have a trusted, unbiased media source. He attempted to build a rudimentary version of a solution for a tribunal of truth 20 years ago, but the tech wasn’t ready for it. That is, until the most recent advances in AI.

https://codestory.co/podcast/e16-nikunj-bajaj-true-foundry/

After joining Meta, Nikunj realized that building machine learning models for the company is different than using public ecosystems. The realized early on that machine learning models will hit an inflection point, where the stacks will need to change and adapt. He and his team decided to take on this challenge ahead of that inflection point.

https://codestory.co/podcast/bonus-tyler-hochman-fore-enterprise/

Tyler built a workforce turnover solution half a decade ago, in the space of predicting employee turnover in a business. It got a lot of solid traction, but what he and his team noticed was that though people wanted to use the solution, they didn’t have the infrastructure necessary to provide data to the tool. This led he and his team to swim a bit downstream to build that data pipeline for customers.

https://codestory.co/podcast/e15-meghan-joyce-duckbill/

Meghan was sitting on a bed in Amsterdam, and experienced a problem with parental technology (IE a breast pump) that was keeping her from running things at Uber. While sitting on hold with the company, trying to get another one available, she started to wish she had a solution that would help her with this, while she attended her meetings at Uber.

https://codestory.co/podcast/the-ai-ultimatum-preparing-for-a-world-of-intelligent-machines-and-radical-transformation-with-steve-brown/

Today we have a special guest and author on the Code Story podcast, Steve Brown. Steve is a former DeepMind futurist, and recently published a book called The AI Ultimatum: Preparing for a World of Intelligent Machines and Radical Transformation. In the book, he provides a step by step framework to guide leaders in identifying use cases for AI, turning it into business value, and obtaining buy in from employees.

In our conversation, Steve is going to elaborate on why AI is a teammate (not a threat), the top AI rollout mistakes, leadership and management tactics that need to go, and much more.

https://codestory.co/podcast/e14-catalina-turlea-lovelaice/

Catalina has been building products for 14 years, and recently was running a small tech consultancy for startups. What she observed was that a lot of products contained an AI feature, but the “feature” was based on a prompt, didn’t work well, and wasn’t a good fit for the users. Eventually, she and her co-founder realized they saw the same problem, and built a platform to support products teams in building valuable AI features.

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Meet Blue Border

With Blue Border™, work lives in a company-controlled secure enclave installed on the user’s PC or Mac, where all data is encrypted and access is managed. Work applications run locally within the Enclave – visually indicated by a blue line wrapped around those application windows – protecting and isolating business activity while installed apps run locally, natively, and securely.

No remote hosting and no virtualization.

Deliver Real Value & Reduce IT Complexity

By eliminating the need to provision, ship and manage company owned devices, BYOD streamlines operations and lowers IT overhead.

• Cost Reduction - reduce & eliminate the cost of company owned assets

• Security & Compliance - protect company data from compromise or loss

• Workforce Agility - rapidly onboard and off board remote workers

• Alleviate IT Burden - Re-focus IT resources on important initiatives

• User Privacy & Convenience - assure privacy, while enabling work locally

Venn is purpose built for BYOD. With Blue Border, users work locally on their own computers - removing the expensive/slow management of VDI, or the limitations of enterprise browsers or SASE.

Secure Your Remote Workforce in Minutes. Not Weeks

Schedule a demo to discover how Venn provides a cost-effective VDI alternative that is simpler to manage, faster to deploy and loved by end users

https://codestory.co/podcast/founder-chats-vadim-dedov/

Today, we are dropping another episode in our “chats” series, specifically on the Founder side, – hearing from those scaling the companies themselves.

In this episode, we are talking with Vadim Dedov, CEO at Catchers. Vadim is going to walk us through what problem he wanted to solve with Catchers, and how his product development journey took him through architectural decisions, product optimization, team building and more.

https://codestory.co/podcast/bonus-yoav-crombie-pragatix-by-agat-software/

Yoav realized that companies were struggling that businesses were struggling to implement and adopt AI. In particular, he noticed that there was risk in publicly sharing your data. But alongside that, other companies wanted more control to how AI functioned for their country. So his company started to build a solution to solve both of these problems.

https://codestory.co/podcast/e12-robert-brennan-openhands/

Robert observed the release of the first version of Devin a few years ago, which was very exciting to see agent driven development. But he and his co-founders were concerned with who was going to govern how this software was going to get written – and they hypothesized that it should be open source and community driven.

https://codestory.co/podcast/bonus-tobias-tobi-konitzer-growthloop/

For the last 10 years of his career, Tobi has been chasing optimized decisioning and outcomes using AI. Five months ago, he decided to join his current venture, and use AI to shift the conversation from “tooling for marketers” to using AI to build an autonomous decisioning system, that learns and improves over time.

Let’s face it… security teams are drowning in alerts from dozens of disconnected tools and data sources - requiring a lot of context switching and stitching together of information. What’s more is this added workload is leading to burnout and a shortage of trained cybersecurity professionals.

So instead of building another “shiny box”… Andesite is building the Human-AI SOC to truly augment human expertise.

Introducing the Human-AI SOC & The Decision Layer

Andesite is not building yet another tool joining the SOC maze. They’re delivering a new product category – a human-AI collaboration layer operating above, beyond, across, around, and with the existing data sources, tools and platforms. We call it the decision layer. It’s a space where analysts can access, visualize, and work with all the elements and data feeds in their security ecosystem as it is.

• AI connects the security ecosystem and analyzes structured and unstructured data where it is… no ETL required.

• The decision layer surveys the incessant wave of alerts, and automates investigations & enrichment to deliver relevant, contextualized and actionable insights. .

• The Human-AI SOC manages high-volume alerts, analyzing threat intelligence in minutes, accelerating time to detect, investigate and repond.

• It connects silos, accelerates workflows, and reduces inefficiencies across data sources, tools and platforms in the security ecosystem – putting humans at the helm throughout the process.

All of this enables the SOC team to focus on what’s meaningful, analyze the evidence, manage the case, and deliver effective responses, FAST.

Enhancing, Not Replacing Cybersecurity Professionals

Andesite is here to empower security teams with advanced technologies that deliver better outcomes and make their work and lives better. Our defenders are hard-working, exhausted, unsung heroes. The goal of Andesite’s AI is to lift cybersecurity professionals out of the menial and into the meaningful - enabling them to focus on the threats that matter most.

Interested? Request a demo today.

https://codestory.co/podcast/bonus-reannah-wyatt-the-real-time/

Reannah was in residential real estate for over a decade, and was in the mix when Zillow was launched. The platform helped her grow her business, and she knew this was where the industry was headed. But what she couldn’t understand was… why wasn’t there something built to track the end to end real estate process and transaction?