AI & Technology Studio

We build AI systems that work in production.

Not prototypes. Not pilots. Software that ships, scales, and runs without intervention.

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Trusted by teams at

Anthropic

GitHub

Vercel

Stripe

Linear

Supabase

Custom AI Systems

Trained models, inference pipelines, and agentic frameworks built to your domain. We go further than off-the-shelf.

Production Engineering

The work after the model: APIs, queues, monitoring, failover. Systems that stay running at 3am.

Data Architecture

Clean pipelines from source to insight. Schema design, warehouse strategy, real-time and batch.

LLM Integration

Embedding frontier models into workflows that already exist. Careful, reversible, auditable.

Model Fine-tuning

Domain-specific adaptation. Your data, your constraints, your accuracy requirements.

AI Strategy

For leadership teams: what is actually feasible, what it costs, what order to build it in.

Evidence, not claims

94%

Model accuracy

Average across client deployments

Days to prototype

Brief to deployed working system

Enterprise clients

Running in production now

Data incidents

Since 2021

They delivered a fraud-detection model that we actually trust. The explainability work alone was worth the contract.

Kwame Asante Head of Risk, Meridian Financial

Vessel rewired how we think about product data. The pipeline they built runs 400k events a day without intervention.

Yuki Tanaka VP Engineering, Forma Labs

I've worked with three AI vendors. Vessel are the only ones who told us what wouldn't work before they started billing.

Marcus Webb CTO, Arc Systems

What makes you different from an AI agency or consultancy?

We build software, not decks. We take projects from brief to production and stay involved until the system runs without us. We do not outsource the engineering.

How long does a typical engagement take?

Most first projects run six to ten weeks — two weeks scoping, four to six weeks build, one week handover. Ongoing retainers are available after the first project.

Do you sign NDAs and work under confidentiality?

Yes, always. We have a standard NDA we can turn around quickly, or we can work with yours. Client confidentiality is non-negotiable.

Can you work with our existing stack?

Almost certainly. We work primarily in Python, and have production experience with most major cloud providers, data warehouses, and ML serving infrastructure. We adapt to your environment rather than forcing ours on you.

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Ready to build something that works?

We take on three to five new clients per quarter. Tell us what you’re trying to solve.

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