About

Why
Studio 8.

Most leaders know AI should be part of where the business is going. Few know where it actually fits inside today's operation, what it costs to integrate well, or which ideas are worth saying no to.

That's the gap we sit in.

We're a senior team that pairs with operators to map their work, identify where AI earns its place, and build it in alongside the people who'll actually use it. Strategy and implementation, in the same room.

Principles

How we work,
on purpose.

01

Listen before recommending

Every engagement starts with sitting beside the people who do the work. The first deliverable is understanding, not a proposal.

02

Senior people, end to end

The team you meet in the first conversation is the team that delivers. No handoff to juniors after the contract signs.

03

Honest about fit

If AI isn't the right answer for a given problem, we'll tell you. Discovery's job is clarity, not selling you what we happen to do.

The team

The people
you actually work with.

Danli Zhou, Co-Founder and CEO at Studio8

Danli Zhou

Co-Founder & CEO

Owns strategy, clients, and branding. Drives revenue and shapes the company direction.

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Jean-Laurent Louis, Co-Founder and CPO at Studio8

Jean-Laurent Louis

Co-Founder & CPO

Owns product, packaging, and delivery. Maps client needs to solutions and ships on time.

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Pierre Cangemi, Co-Founder and Product Engineer at Studio8

Pierre Cangemi

Co-Founder & CTO

Owns tech, AI systems, and delivery efficiency. Builds the tools that make everything faster.

LinkedIn
Binayak Malla, Co-Founder and Growth at Studio8

Binayak Malla

Co-Founder & Growth

Identifies high-value opportunities and drives strategic growth. Leads hiring and expansion.

LinkedIn

Your seat?

We're always looking for sharp engineers and designers who want to build real products.

Open role

Engineer / Designer

Reach out at hello@studio-8.dev

What sets us apart

Strategy and build,
in the same room.

Most consultancies recommend, then hand off. Most agencies build, but without strategic context. We do both, because the gap between the two is where most AI projects die.

Operator-first, not technology-first

We design around the people doing the work, not the tools doing the talking. Operational fit decides which technology, not the other way round.

Adoption is the metric

A polished product nobody uses is a failure. We design for the team that will actually live with the system, and we measure success by whether they do.

Long-term skin

We stay close after launch. Many of our engagements turn into ongoing partnerships because the work didn't end at delivery, and our incentives don't either.

Calm in a noisy field

AI is moving fast and most of the noise is selling something. We translate, prioritise, and steady the room when it's needed. No hype, no jargon, no theatrics.