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About Vessel

We exist because
most AI projects don’t ship.

Built by engineers who got tired of watching promising models die in staging. We specialise in the hard middle: turning proofs-of-concept into software.

Our position

We are not a consultancy that hands you a roadmap. We are not an agency that hands you a prototype. We are engineers who stay until the system runs in your environment, with your data, serving your users.

That takes longer. It costs more. It is also the only way to have something that actually works.

How we work

Week 1–2
Discovery & architecture
We learn your domain. We map the data. We tell you what is feasible before we write a line.
Week 3–6
Build & validate
Iterative. Weekly check-ins. You see working software, not slide decks.
Ongoing
Deploy & maintain
Monitoring, retraining schedules, incident response. We don’t disappear at handover.

By the numbers

12+

Systems in production

Across five industries

7

Average weeks to ship

Brief to deployed

100%

Client retention

All clients return for phase two

0

Missed deadlines

Across all projects

The team

Four engineers. No account managers.

Kofi Mensah

Founder, ML Systems

Former ML lead at two fintech exits. Obsessed with production reliability. Built inference infrastructure for systems processing 2M+ daily transactions.

Aisha Kamara

NLP & LLM Engineer

PhD in computational linguistics. Specialises in domain adaptation and fine-tuning frontier models on restricted datasets. Wrote our evaluation framework.

David Okonkwo

Platform Engineer

10 years of distributed systems. Runs our infrastructure — Kubernetes, observability, failover. The reason our uptime numbers are what they are.

Priscilla Agu

Data Architecture

Pipelines, warehouses, schema design. She makes data clean before the model sees it. The work no one notices until it's absent.

Work with us

Have a problem worth solving?

We take on three to five new clients per quarter. Tell us what you are building.