Our Way of Building

The coming decades will be defined by one of the biggest transitions in modern history: the integration of artificial intelligence into our economy. Not just in tech companies, but across every industry that runs on knowledge, process, and decision-making.

We started Glindway to help shape how this transition unfolds. Here’s how we plan to do it.

Every company begins somewhere, but not every company begins with trust as its foundation. Glindway was founded by five people who spent years building together long before the company existed. We already knew exactly how each of us worked, argued, decided, and shipped.

By the time we quit our jobs in August to go all-in on Glindway, the decision felt obvious. Why? Because we trusted the team we were building with.

This isn’t just a nice story, it’s our foundational operating principle. In any service business, especially one building AI systems, the quality of the work ultimately reflects the people doing it. We believe the relationships we’ve built form the strongest possible foundation for long-term success.

Small teams win. In part, this has always been true. Small startups outpace massive incumbents through speed and focus. But with the arrival of AI, the equation has changed entirely.

AI has become a great productivity multiplier. A single engineer can now accomplish what once required a small department. In 2025, Lovable reached a $1.8 billion valuation serving over 2 million users, with only 45 employees. And Sam Altman suggested it’s only a matter of time before one person builds a billion-dollar company.

At Glindway, we’re at the frontier of AI-driven work, using intelligent tools to amplify every stage of our process, from research and design to development. By constantly pushing what’s possible and applying AI to our own workflows, we help our clients do the same — letting five people achieve the impact of twenty.

AI may be new, but building software isn’t. At its core, every AI product is still a software artifact. This means quality, reliability, and user experience matter more than anything else.

At Glindway, we see AI as a means, not an end in itself. Our goal is always to solve real problems for real businesses. A lot of our work still involves classic engineering: Data infrastructure, APIs, UX design, and backend architecture. AI is the differentiator, not the whole story.

And the interface matters as much as the model. Interacting with AI is a design challenge as much as a technical one — perhaps even more. How much autonomy should an AI system have? When should it ask for human input? Where’s the right balance between automation and control? Getting these details right determines whether AI truly augments human work or quietly gets in the way.

We aim for excellence in both dimensions: software that is maintainable and robust, and user experience that feels just right by leveraging the unique strengths of both humans and AI.

The real opportunity in AI isn’t in generic solutions. It’s in deep integration. As the underlying models become commoditized, the true differentiation will come from understanding specific domains and workflows better than anyone else.

That’s where we thrive. We love learning how businesses actually operate— the messy, nuanced, real-world details that never make it into a slide deck. Our approach is inspired by the forward-deployed engineer model: we work alongside our clients, embedded in their teams, co-developing systems that integrate directly into their processes.

For us, proximity breeds insight. The closer we are to the problem, the better the solution.

Our why seems simple to us: AI transformation is happening, and we want to play an active role in shaping how it unfolds.

In the past, we’ve built AI systems that optimized content workflows for medical publishers, transformed document processing for large mobility corporations, and augmented core workflows for strategy consultancies. What these projects have in common is not automation — it’s augmentation. AI that helps people do their best work faster and more creatively.

We’re convinced that’s where the next decade of progress lies. AI won’t replace most knowledge workers, but it will redefine how they work. At Glindway, we’re building the tools, systems, and partnerships to make that future real. We don’t just want to adapt to the age of intelligence on tap. We want to shape it.