Research
Hyper Research runs deep, rapid AI search across the planning knowledge graph — applications, legislation, appeals and precedent — so you find the material that shapes a decision without leaving the workspace.

How it works
Research works the way planners actually work a case, starting from a live issue rather than a reference number.
Pose the question the way you'd brief a colleague — 'appeals allowed on Green Belt very special circumstances since the 2023 NPPF' — no Boolean strings or exact reference numbers required.
One query runs across applications, decision notices, appeal decisions, National Policy Statements, primary legislation and case law at the same time — connections a single-index database search would miss.
Findings come back grouped by document type with the passage that matters surfaced first, each one hyperlinked to source so you can verify the citation before it reaches a submission.
The benefits
Traditional portals match keywords in one index at a time. Hyper reads across the whole corpus and understands what you're really asking.
Semantic search reads meaning, not just keywords, so it surfaces the relevant appeal even when it never uses your exact wording.
Applications, appeals, legislation, policy and case law searched in a single pass — no jumping between the Planning Inspectorate, legislation.gov.uk and council portals.
Trade days of manual trawling for a couple of minutes, and spend the time saved on judgement rather than retrieval.
Every result links straight to the original document, so nothing rests on a hallucinated reference — a safeguard consumer chatbots can't offer.
Knowledge graph
Hyper links schemes to the policies they engage, the appeals that tested them and the case law that settled them. Follow a thread from a comparable consent through to the inspector's reasoning without rebuilding the chain by hand.

Start every submission from the strongest evidence base — comprehensive, current and cited.