Advice and system design
Explore what is possible, compare local and hosted options, and work out a practical starting point before committing to infrastructure.
Welcome to bitknowledge
Bitknowledge designs, builds and supports on-premise and hybrid AI systems.
Practical help for UK organisations and technical teams exploring how to use AI, connecting it to existing systems, or getting an AI deployment working reliably. That might involve your own hardware, commercial AI services, or a combination of both.
Building AI infrastructure that works for you
You do not need to arrive with a finished specification. Bitknowledge starts by listening to what you want to achieve and understanding the systems, budget and constraints you already have.
From there, the work is to explore practical options together, test or prototype where useful, and decide what should run locally, what should use commercial or cloud services, and how the pieces should connect.
Linux and GPU environments
Set up Linux hosts, GPU drivers, NVIDIA/CUDA, storage and the supporting services needed to run AI workloads.
Model deployment and inference
Configure local model runtimes and inference services, with access controls and testing against the intended workload.
Commercial AI and hybrid integration
Connect hosted model APIs and cloud services to existing applications and local systems, with attention to data handling and ongoing costs.
Technical implementation
Carry out agreed project work, including networking, authentication, monitoring, testing and documentation.
Support and handover
Help with troubleshooting and upgrades, and explain how the system works so your team can look after it. Support responsibilities are agreed for each project.
The infrastructure around the model matters
For local and open-weight models, this can mean Linux and GPU systems, model storage, runtimes and inference services. For commercial AI services, it can mean integrating hosted model APIs, managing credentials and usage limits, and keeping costs under control.
Both need careful attention to authentication, networking and data handling: who can use the system, where information goes, and how it connects to the rest of the organisation.
Resilience matters too. Monitoring, recovery arrangements and sensible handling of service failures help turn an initial experiment into something people can use day to day.
Open systems, practical engineering
Open-source software can make a system easier to inspect, maintain and support. Access to the code and configuration helps with diagnosing problems, understanding dependencies and passing skills on to the people who will run it.
Bitknowledge uses open technologies where they fit the work, alongside commercial services where those are useful. Clear documentation and practical handover matter in either case, including any relevant limitations or dependencies.
Bitknowledge is run by Tom Jackson, engineer and founder. Read his founder message or find out more about the engineering approach and exploratory work.
Discuss a project
Tell Tom what you are exploring or where you need a hand. An initial idea, a question about existing systems, or a specific technical problem is a useful place to start.
hello@bitknowledge.com