Every model is exposed behind a clean, versioned API - consumed by any app, service or team without bespoke glue.
Low-latency inference endpoints that scale horizontally on Kubernetes, so response times hold under real load.
Stateless services and managed pipelines let capacity grow with demand - across public, private and on-prem.
Our approach is especially impactful in sectors carrying high volumes of unstructured data inside highly regulated, process-heavy environments.
Filings, contracts and risk memos buried in PDFs and email.
Records, trial data and regulatory dossiers at scale.
Casework and policy locked in bureaucratic process.
Disclosure, due-diligence and audit trails to navigate.
Across years of scoping and consultancy, the same data-pipeline problems recur - data streaming and pre-processing. We built microservices that solve them and deploy to any system.
Deploy and manage Kafka pipes on Kubernetes - streaming from any source to public, private or on-prem destinations.
Deploy and manage a Spark pipeline on Kubernetes - pre-processing data such as financial time-series, anywhere it needs to run.
At Brainpool, the brightest minds in AI and data science apply proven best practice to maximise the success of AI projects.
Open-source tooling like Kubernetes and Docker lets us build a flexible, cloud-agnostic pipeline to deploy your AI solution end to end.
