Prompt Engineering
An ideal AI prompt is clear, specific, and contextual. We design and test the instruction sets that make frontier models produce decision-grade output — defined formats, cited sources, stated confidence.
Broadbase AI runs the frontier — routing every problem to the model that solves it best, cross-checking each answer against the rest, and engineering the prompts that turn raw intelligence into decisions. Working problems, bringing solutions.
Structured analysis and long-form synthesis across large bodies of research literature.
Explore the technology →No single model is right for every problem. Each task is routed to the model that does it best — then cross-checked against the others so no single vendor's blind spot becomes ours.
Structured analysis and long-form synthesis across large bodies of research literature.
Nuanced reading of policy and legal texts, where precision and caution matter most.
Working across documents, imagery and data together — reports, maps, charts, CCTV stills.
AI embedded directly in the everyday tools organisations already run on.
High-volume research triage at low cost — reading thousands of papers so we read the right ten.
Live public-sentiment and fast-moving situational awareness during unfolding events.
Reaching international front-line research that never gets translated into English.
On-premise deployment where data cannot leave the building — sovereignty by design.
Prompt engineering is the craft that binds the stack. An ideal AI prompt is clear, specific, and contextual — it provides precise instructions while defining the desired output format. That discipline is the difference between an AI that generates text and an AI that generates decisions.
Cross-model validation is the safety net. Every significant finding is put to at least two independent models before it reaches a recommendation. Where they disagree, a human investigates. Where they agree, we still check the sources.
Each programme starts the same way: AI delving into publicly available research papers and the experience of national and international front-line organisations — and ends with an intervention a real organisation can afford to run. Each one links to a worked example.
An ideal AI prompt is clear, specific, and contextual. We design and test the instruction sets that make frontier models produce decision-grade output — defined formats, cited sources, stated confidence.
AI delves into publicly available research papers and national and international front-line organisations to develop targeted interventions with limited resources — evidence first, spend second.
A different approach to alcohol and drug-related anti-social behaviour — transforming how the Police manage the low-level crimes that fill police cells, freeing officers for the work only they can do.
Identity fraud costs the UK £1.8 billion annually. Mobile face-recognition puts real-time authentication in the field — matching a live face to a verified identity in seconds, on a device that fits in a pocket.
AI mines public research, real incidents at home and abroad, and the UK's existing resilience framework to design units of trained, insured, low-budget volunteers ready for major emergencies.
Civil defence principles applied locally. The emergency services deal with the emergency itself; the civil defence team deals with the situations a large-scale event creates around it — a manpower injection when it matters.
Keeping humanity safe, applying ethics to AI. Project Icarus is our alignment framework — twelve tenets that give the machine integrity before it is given power, and a mathematical, validate-then-attest method for proving every AI action was authorised by an accountable human.
Real time recipe cooking in your kitchen. Cookpit is our open JSON-LD cooking-file standard — validated, cryptographically signed recipes that coordinate starters, mains and desserts live, for the cook, chef, hobbyist or baker.
Martin Jackson's exploration of innovation methodologies challenges conventional thinking about creative processes and organisational transformation — an alternative foundation before AI came on scene, somewhere to launch your AI programme from.
Bring us a working problem. We'll bring back what the world's research — read by the world's best models — says about solving it.