Approach
One playbook, run again in a new industry each time.
The reason a small studio can operate in several verticals at once is that almost nothing is re-decided between them. The method is the same; only the domain changes.
- Construction
- Oilfield & Energy
- Developer Tools
- Code Auditing
- Healthcare Admin
- Legal Workflows
- Field Service Ops
- Supply Chain
- Real Estate
- Financial Compliance
- Education
Vertical-specific
Every product is built around one industry's exact pain — not a generic platform retrofitted to fit.
AI-native from day one
Not AI bolted on after the fact — intelligence is embedded in the workflow, pricing, and core value of every product.
Built and shipped fast
An AI-augmented build process compresses months into weeks — moving at a pace legacy vendors and most startups can't match.
How we build
An AI-augmented studio that moves faster than a team of ten.
- 01
Find the overpriced incumbent
We look for verticals where legacy vendors charge 10× the value delivered, relying on switching costs — not product quality — to retain customers.
The tell: customers who can describe exactly what they hate and still renew.
- 02
Understand the vertical deeply
Every industry has its own buyers, workflows, regulations, and failure modes. We learn those before writing a line of code — this is where domain background matters.
The tell: we can name the failure mode before the customer finishes the sentence.
- 03
Build AI-native from the ground up
Not features bolted onto a legacy architecture. AI is the core of every product — in the workflow, the pricing model, and the value proposition. Structure and scope are defined case by case.
The tell: remove the AI and the product stops making sense, rather than losing a tab.
- 04
Ship, iterate, repeat
An AI-augmented build process compresses months into weeks. We ship, get real feedback, and iterate — then carry everything learned into the next vertical.
The tell: the second vertical is faster than the first, and the third faster again.
The stack
Modern tools. Lean overhead. Fast shipping.
Every product runs on the same AI-native stack — chosen for speed, reliability, and the ability to ship vertical SaaS without enterprise bloat.
- Next.js
- Supabase
- Claude AI
- Cursor
- Stripe
- Vercel
One stack across every product is what makes a small studio able to run several verticals at once. The second product is faster than the first because almost nothing is re-decided.
The studio thesis
Any vertical. Every overpriced incumbent. One repeatable playbook.
Vishnova Labs isn't limited to a single industry. The same pattern repeats everywhere: a bloated legacy vendor, a captive customer base paying too much, and a gap AI-native software can close. We go where that gap exists.
Scope and approach vary by vertical — every engagement is evaluated and structured case by case.
Reasonable doubts
The six things people think before they write.
If one of these is why you have not, the answer is here rather than on a call.
“A studio spreading across verticals will be shallow in all of them.”
It would be, without domain depth going in — which is why the playbook puts understanding the vertical before writing code, and why the founder's background is in regulated industries rather than in software generally. The counter-evidence is the products: each one is built around a specific operational failure, not a generic template with an industry name on it.
“How is this different from every other "AI-powered" SaaS?”
Most of them added a chat panel to an existing product. Our test is simple: remove the AI and does the product stop making sense, or does it just lose a tab? If it is the second one, the AI was decoration and the pricing was a story.
“You are small. What happens if you lose interest in my vertical?”
A fair question and the honest answer is that a studio does concentrate attention on what is working. What we commit to is telling you where a product actually sits — Live, Beta or In build — rather than describing everything as though it shipped. The portfolio page states the status of each one plainly.
“Why would I switch from an incumbent that basically works?”
Often you should not, and we would rather you did not waste a migration on a marginal gain. Switching is worth it when the incumbent's pricing model is actively working against how your operation runs — per-seat pricing that locks out your field crew, or a gap between systems where your margin disappears. If that is not your situation, the incumbent is fine.
“Is this a services company or a product company?”
A product company. We build and operate our own software. Where a vertical needs domain access we do not have, we will structure something with a partner who does — but that is a route into a product, not a billable engagement.
“What happens to my data if a product is early?”
You get an export you can actually use, at any time, without asking. For anything at Beta or In build we will tell you exactly what is production-hardened and what is not, before you put real operational load on it.
Questions
Questions about how we work.
Get in touch
Know an industry paying too much for software that stopped improving?
That is the most useful message we receive. Name the vertical, name the incumbent, and tell us what it costs the people stuck with it.
One reply from a person, within a business day. No sequence, no newsletter. Or write directly to vishnovalabs@gmail.com.