About

A small studio of people who have shipped production software.

Digital Studio Labs is a U.S.-based product studio. We are engineers, designers, and machine learning specialists who build applications meant to run in production, be maintained, and be handed to the people who own them.

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Team: 7 people
Capabilities: 6
Based: United States
Model: Remote first

Why we exist

Software got easy to produce.

Building something that looks like a product now takes an afternoon. Building something a company can run on still takes architecture, security review, testing, deployment, and people who are accountable when it breaks at 2am.

That gap is the whole business. We are not interested in arguing about AI. We use it, and it makes us faster. What it does not do is decide how your data should be modeled, how permissions should work, what happens when a payment fails, or whether the thing being built is worth building at all.

There is enough AI-generated slop. We are interested in building things people actually use.

How we operate

Commitments, not values.

Every one of these is something you can hold us to during an engagement.

Scope before code
We write down what we are building and what we are not, and you approve it before engineering starts.
Senior people on the work
The people who scope your project are the people who build it. No handoff to a junior bench.
You own everything
Code, repositories, accounts, infrastructure, and domains are yours. We do not hold the keys hostage.
AI where it helps
We use modern tooling to move faster. Architecture, security, and quality decisions stay with people.
Built to be inherited
Documentation and tests exist so a future engineer, ours or yours, can pick the project up.
Honest about fit
If a project is wrong for us, or does not need custom software at all, we say so on the first call.

The team

The people who do the work.

No account managers between you and the engineers.

Alexander Permut
Brand & Client Strategy
Alex leads client relationships and brand strategy at DSL. He has led large-scale, high-stakes programs across industries and brings that same discipline to every engagement: clear objectives, trusted partnerships, and outcomes that last. He bridges client vision and technical execution so we build the right thing, the right way.
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Brian Permut
Software Engineering Lead
Brian leads our engineering practice, architecting full-stack systems and automation pipelines across web, mobile, and cloud. With deep expertise in Next.js, Node, and cloud-native architecture, he designs systems that scale from prototype to production with CI/CD, observability, and security built in.
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Sanket Deshpande
Machine Learning Engineer
Sanket is our machine learning engineer. He builds production ML systems, from NLP and forecasting models to retrieval-augmented generation, and brings academic rigor and production pragmatism to every AI system we ship.
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Connor Harper
Research Engineer
Connor is a PhD candidate in applied physics and a Principal Investigator on a Nuclear Science User Facilities award. He has engineered novel experimental techniques, built Monte Carlo simulation models, and led design and instrumentation work at national labs and in industry. He brings that same rigor to DSL’s R&D and prototyping.
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Max Vermesch
Interactive Designer
Max is an interactive designer and specialist in the design and production of web experiences and interactive installations. With over a decade of experience across UX/UI design, full-stack web development, and creative coding, he helps DSL create projects at the intersection of design, technology, and user experience.
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Peter Razumovsky
Growth Executive
At DSL, Peter shapes revenue architecture for global brands and digital leaders. He builds full-funnel growth systems that connect strategy, performance, and product. Transforming traditional marketing into a compounding growth function.
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Daniel Madey
Marketing + Social Media
Dany is our in-house marketing and social media expert, specializing in content strategy, performance advertising, influencer partnerships. Using analytics-driven optimisation to boost traffic, leads, and brand awareness.
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