Withertz builds AI agents for industries that actually need them. We pick a niche, study its bottlenecks, and build agents that solve them, then orchestrate them through WOS, the platform we built ourselves. We've shipped six products before this and killed them all. Every failure carved the path to where we are now. This page is a catalog of the ideas that drive us. Click through in order, or wander.
Bread. Platypus. Famous. Fanqer. Landwait. Brickmotion. We built them, shipped them, and killed every single one. Not because they were bad — because they weren't right. Most companies hide their graveyard. We put ours on the front page. Six dead products, zero regret. Each one taught us what not to build — and more importantly, what to build next. The lesson wasn't "fail fast." The lesson was: don't fall in love with something that doesn't love you back.
Product Graveyard
We don't build generic AI tools and hope someone finds a use case. We work like an agency: we sit with the enterprise, study the workflows, find the pain, and build agents specifically for that pain. The platform comes after the value, not before it. Most AI companies sell you infrastructure and wish you good luck. We sell you the solution and hand you the keys to the engine behind it.
Every agent we build starts with a real, expensive problem at an enterprise. Not a demo. Not a slide in a pitch deck. A production-grade agent that replaces a broken workflow. If it doesn't eliminate a bottleneck, it doesn't ship. We don't build agents to impress — we build them to work.
Here's the math: we build a playable ads agent for one mobile gaming company. That agent works. Then we sell it to fifty more. The first deployment is custom. Everything after that is catalog. The more agents we build, the richer the catalog gets. The richer the catalog, the less custom work we need to do. Agency economics evolving into platform economics — by design, not by accident.
The workspace isn't a dashboard. It's not another "AI tool" with a chat window bolted on. It's where enterprises orchestrate, manage, and monitor every agent we build for them. Think of it as the operating system for their AI workforce. We don't just hand over agents — we hand over the cockpit. (See the last section on this page for the full product story.)
Six dead products in our wake should tell you something: we don't hesitate to pull the plug. Speed isn't about how fast you build. It's about how fast you recognize what's not working and move on. The most expensive thing in a startup isn't failure — it's a slow failure you keep funding with hope. We ship in weeks. If it doesn't work, it's dead in weeks too.
Everyone's building "AI agents" now. A year ago everyone was building "copilots." Before that, "no-code." The names change, the hype cycle doesn't. We don't chase trends. We pick specific problems, in specific industries, for specific companies. That's not trendy — it's durable. When the next buzzword arrives, we'll still be solving the same expensive problems.
We're small on purpose. Not because we can't grow — because we don't want to grow into something slow. Small teams make decisions in hours, not quarters. Small teams don't need alignment meetings about alignment meetings. Every person at Withertz ships. Nobody's job is to watch other people ship.
We don't build things that look impressive in a 3-minute video and fall apart in production. If you've been in the AI space for five minutes, you've seen the pattern: flashy demo, standing ovation, then silence when someone asks about production reliability. Our agents run in production. At enterprises. With real data. That's the only demo that matters.
Automation replaces a task. Orchestration coordinates an entire workflow. That's the difference between building a bot that writes ad copy and building a system that researches the audience, generates the creative, tests variations, and optimizes spend — all in concert. Single agents are commodities. Orchestrated agents are an operating advantage.
We're not optimizing for the next fundraise. We're optimizing for revenue. Building a company that makes money isn't a fallback plan — it's the plan. We've watched too many startups raise millions to delay the question: "Does anyone actually pay for this?" We'd rather answer that question on day one.
Istanbul, specifically. Not Silicon Valley, not London, not a co-working space designed to look like a spaceship. We build from here because this is home, and home doesn't limit ambition. The products are global. The standards are world-class. The timezone is convenient for exactly no one, and we don't care. Great software doesn't need a Bay Area zip code.
Withertz is a small group of founders and builders. No departments, no spectators — everyone ships. Below is who we are, what we do, and where to find us.
WOS is the agent orchestration platform for enterprises that need AI agents built for their industry, not borrowed from a marketplace. We research your niche, identify bottlenecks, build custom agents, and deliver one workspace to run them all.
Cubbie Kids is our AI-powered B2B education platform for schools. Students create apps and games by speaking naturally without memorizing complex syntax. It is designed for safe, supervised classroom use with age-filtered workflows and helps schools teach AI literacy, critical thinking, and algorithmic reasoning through project-based learning.