The era of generic AI chatbots is ending. The next decade belongs to deep, opinionated software that knows one industry and serves one user precisely.
In 2022, the world got excited about general-purpose AI assistants. ChatGPT could write emails, explain code, summarize articles, and generate poetry. It was impressive and it was generic. By 2024, every tech company had shipped a chatbot. They all did roughly the same thing, roughly as well, for roughly the same price.
That is the definition of a commodity. And commodities are a terrible business.
We started Nexobe with a different thesis: the value in AI is not in the model — it is in the product around the model. The model is the engine. The product is the car. Nobody buys an engine. They buy a car that solves a problem: getting to work, moving furniture, delivering packages. The engine matters, but the thing that wins is the vehicle that is purpose-built for a specific job.
A horizontal AI assistant can help a dentist draft a treatment plan. A vertical AI product for dentistry knows the CDT code set, understands insurance verification workflows, integrates with dental practice management software, and can triage an emergency call at 2am using clinical protocols.
The horizontal tool is 60% useful. The vertical product is 95% useful. And 95% useful is the threshold where people actually pay money and keep paying.
This is why Nexobe does not build one product. We build eight. Each one targets a different vertical — fintech, healthcare voice, study tools, creative AI — because each vertical has its own domain knowledge, its own user expectations, its own regulatory constraints, and its own definition of what “good” looks like.
Nexobe is not a studio. We do not build things for clients and hand them over. We build products, launch them, operate them, and answer the support email ourselves. The same engineer who writes the code also reads the user feedback.
This matters because operating a product teaches you things that building it never will. You learn which features people actually use. You learn where they get stuck. You learn what they ask for that you never imagined. And you learn it in real time, every week, because the product is live and people are paying for it.
Studios build and move on. Agencies bill and move on. We build and stay. Compound improvement — shipping every week for years — is the moat.
The conventional wisdom says focus. Pick one product, one market, one user, and go deep. We agree with the “go deep” part. We disagree that a small team can only do it once.
Each Nexobe product is intentionally narrow. One user, one job, one clear value proposition. GoodOff turns documents into study material. Pikcel generates headshots. AirDrv answers phone calls for dental practices. None of these is a platform. None of these is trying to do everything. They are each a scalpel, not a Swiss Army knife.
And because each product is narrow, it can be built and operated by a small team using shared infrastructure. The same authentication system, the same billing system, the same deployment pipeline, the same monitoring. We do not rebuild the wheel eight times. We build one wheel and put it on eight different vehicles.
AI models will get cheaper and more capable every year. The model is not the moat. The moat is deep domain knowledge, specific user understanding, operational excellence, and compound weekly improvement over years.
Nexobe builds vertical AI products — one user, one job, one industry — and operates them indefinitely. We believe this is where the durable value in AI will be created. Not in general-purpose chatbots. Not in thin wrappers. Not in platforms that try to be everything for everyone. In specific, opinionated products that do one thing so well that switching costs are high and retention is natural.
We ship on Fridays. We have since day one. And we plan to keep shipping on Fridays for a very long time.
— Asghar Mir, Founder