Who is buying, and what is next
What an agency has bought, from whom, at what value, and on what cycle. Contracts coming up for renewal are the pipeline nobody has published yet.
Procurement and award intelligence
Procurement Context connects live tenders, RFPs and solicitations, awarded contracts and supplier records from public procurement portals worldwide to the AI your team already uses. No new dashboard to log into. You ask in plain English; the answer comes from the source data.
Award notices are published. Contract values are published. Supplier registrations are published. Most of what you need to qualify a bid is already out there, spread across hundreds of portals, in a dozen formats, most of which will not let you export anything useful. You need a system for connecting to this data every time, not leaving it up to what your AI happens to reach for in that chat.
What an agency has bought, from whom, at what value, and on what cycle. Contracts coming up for renewal are the pipeline nobody has published yet.
The suppliers who keep winning in a category, with their award history and estimated win rate. Know the incumbent before you commit a team to the response.
Awarded contract records with values and dates. Price against evidence of what this buyer has paid before, not against a guess.
Open opportunities across every covered portal, filtered by the criteria your team actually qualifies on.
Procurement Context runs as an MCP server. That is the standard Claude, ChatGPT, Copilot and most enterprise AI tools already use to reach external data. Connecting is a configuration step, not an integration project.
"Which agencies bought facilities management in Queensland last year, and who won?" No query language, no CSV export, no new interface for anyone to learn.
Responses come back with the underlying notice or award attached, so a claim you carry into a bid traces to a public source an evaluator can check.
Coverage is portal-agnostic. We have a system for standing up a new portal quickly, so any public procurement source is effectively already covered. Tell us where you tender and we will confirm it.
Portals our customers ask for most
Not an exhaustive list. Commercial aggregators such as VendorPanel and TenderLink are covered too, alongside the public sources above.
We have all started using AI to write our tenders. But good data to use as context is still the hard part, and it is the part that decides whether the bid was worth writing at all.
Four questions, so the conversation is useful. We come back to you directly.
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