New York, NY

Archish Soni

Founder and CEO of Cybersphere. I build the systems companies run on when the work stops being done by hand.

Founder & CEO, Cybersphere Anthropic Partner Network Registered federal contractor
Approach

Most companies bought AI. Very few rebuilt around it.

The last three years produced an enormous amount of AI adoption and a surprisingly small amount of AI leverage. Businesses added tools on top of the way they already worked — a copilot here, a chatbot there — and got a marginal improvement on a process that was never designed for any of it.

The companies that actually compound are the ones that rebuilt the process. Not automation bolted onto an existing workflow, but intake, follow-up, scheduling, reporting, and back office reconstructed around what software can now do on its own. That is a harder, slower, less exciting piece of work than buying a subscription, and it is the only version that changes a company's cost structure.

This is the thesis behind everything I build: the constraint was never model capability. It's implementation. The gap between what these systems can do in a demo and what they do inside a real business with real staff and real edge cases is where all the value is, and almost nobody is willing to do that work end to end.

The common path

A team keeps its existing process and inserts AI at a single step. The handoffs, the waiting, and the human coordination around that step all stay exactly where they were. You get a faster version of one box in a diagram that still has eleven boxes.

Lead arrives Manual triage AI drafts reply Human sends Manual follow-up Manual booking Manual reporting

The version that changes the P&L

The process itself gets redrawn. Intake, qualification, follow-up, scheduling, and reporting run as one continuous system with people supervising exceptions rather than performing steps. The org chart stops being a list of tasks and starts being a list of judgments.

Lead arrives Qualified & routed Follow-up sequence Booked Recorded & reported Human handles exceptions

Why it's rare

Doing this properly requires mapping a company's actual operations — not the ones in the handbook — then rebuilding them, deploying into a live business without breaking it, and training the people who have to live in the result. It is consulting work and engineering work and change management at the same time.

Most vendors sell one of those three. The gap between them is where implementations die.

Work

What I'm building

Cybersphere is the operating company: AI implementation for small and mid-sized businesses, with a growing enterprise and public-sector practice. The products below come out of problems encountered doing that work directly.

Background

Fifteen years of building things, most of them small.

I have been starting companies since I was a teenager — a clothing brand, a trading community, a digital marketing agency, an exotic car rental operation. None of them were important. All of them taught the same lesson from a different angle: the interesting problem is almost never the product, it's the operation underneath it.

Cybersphere is the first one where those two things are the same problem. I started it because I kept watching capable businesses lose margin to work that no longer needed a human doing it, and finding that nobody would actually come in and rebuild the thing end to end.

Anthropic Partner Network

Cybersphere is a member of Anthropic's partner network, building on frontier models in production.

Federal contracting

Registered in SAM.gov as a small and disadvantaged business for federal awards, primary NAICS 541511.

Sectors

Professional services, healthcare practices, hospitality, and public sector.

Based in

New York City. Originally from Edison, New Jersey.

Contact

Get in touch

I'm reachable directly. If you're an investor, an operator considering a rebuild, or a partner working on something adjacent, the fastest path is email.