Applied ML & R&D
We design and build end‑to‑end machine learning systems.
Please allow us to quickly introduce ourselves.
We are Algonauts, a team of ML engineers who work across the full machine learning lifecycle, from running experiments on open research questions through to shipping and operating the production system that results.
With industry experience in building within domains such as foundation model research, medical AI systems, and generative AI applications, our team is here to turn your most ambitious ideas into technology people can actually rely on.
Every engagement follows the same shape:
- Scope: turning an open‑ended problem into precise technical requirements.
- R&D: literature and scientific review, tested through small, hackable proofs of concept.
- Productionise: building, validating, and integrating the full system, not just a proof of concept.
Scope
We meet with you to really understand the problem, including the data you have, what you want to predict, and the environment the system needs to run in, and frame it into precise technical requirements.
R&D
Literature and scientific review across the current state of the art, tested through small, hackable proofs of concept before we commit to a build.
Productionise
Taking the system from proof of concept to something you can rely on:
- Model training and fine‑tuning, inference and deployment infrastructure, and the data pipelines that feed them.
- Continuous validation against the metrics that matter to you, real‑world performance, not just published benchmarks.
- Monitoring in production to catch drift early.
- Clear interfaces, containerisation, and integration into your existing products and processes.