Eight Specialist Agents That Screen a Data-Centre Site in One Run
Pre-due-diligence on a candidate site used to mean weeks of separate specialist reviews in incompatible formats. We built a swarm of eight domain agents that queries real public data and assembles one scored, sourced report.
European energy major · data-centre development
energyThe Need
Screening a candidate co-location site before due diligence means assessing land, transport, grid, environment, water, planning and fibre — each by a different specialist, in a different format, on a different timeline. Sites could not be compared on a like-for-like basis, so early ranking came down to judgement. Worse, community acceptance and ESG — the dimension most likely to kill a project late and expensively — was assessed last, or not at all, because it was the hardest to quantify.
The Approach
We built a swarm of eight specialist agents on the Claude Agent SDK, one per diligence domain, with community and ESG promoted to a first-class agent rather than an afterthought. Each agent queries real public sources — cadastral registries, open infrastructure and grid maps, OpenStreetMap, the European environment agency's protected-area service, internet-exchange peering data and crawler-wrapped government portals — instead of relying on model recall. Every agent output, its evidence and its score persist to their own rows, and a narrative assembler composes them into a single structured report. Eight golden-site fixtures run as graded evaluations in CI, so a prompt change that quietly degrades report quality fails the build rather than reaching a decision-maker.
