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.
Government tender and contract data
One connection gives Claude, ChatGPT or Copilot live access to public tenders, RFPs and awarded contracts across the US, UK, Canada, Australia and New Zealand. Ask in plain English. There is no dashboard to learn.
The problem
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 it answers
Four questions a bid team asks before committing anyone to a response. Each one is answerable from published records, and each one is currently a morning's work.
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.
The connection
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
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
Hover or tap a market to match it to its portals.
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.
We used it to check who held the incumbent contract before a renewal closed in March. It changed how we priced.
The award histories are the useful part. Open tenders we already had.
It answered inside the chat window we already pay for. Nobody needed training.
We stopped keeping a spreadsheet of agency contracts. It was always out of date anyway.
Seeing what a department actually paid last time made our go decision quicker.
We qualify out earlier now. That alone covered the cost.
I asked which councils had bought fleet maintenance in the last two years. It listed them with the award values and where each record came from.
The citations matter. I can put a claim in a response and show where it came from.
It is not magic. It is the public record, organised, which is what we needed.
Setup took our IT team about twenty minutes.
We tender in three states. Checking each portal used to be someone's Friday.
The win rate estimates are rough, and they say so, but they are enough to tell you who you are really up against.
Renewal dates on existing contracts are the pipeline we plan around now.
We asked it the same questions we used to pay an analyst for a day to answer.
Four questions, so the conversation is useful. We come back to you directly.
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