Does it cover New Zealand contract awards?

Yes. Awarded contract records are part of the dataset alongside open tenders, including the buying agency and the supplier who won. For a bid or no bid decision that history usually matters more than the tender text.

Can I ask about agencies and councils in one question?

Yes. You ask once and the answer covers the relevant buyers rather than requiring a search per organisation. Coverage is portal-agnostic, so additional public sources can be stood up where you need them.

How does it fit with the AI tools we already use?

It connects over MCP, so it works with Claude, ChatGPT, Copilot or any other MCP client. There is nothing new to log into and no dashboard to roll out.

Is this only useful for large bid teams?

No. The value is in not spending hours reconstructing history before deciding whether to bid, and small teams feel that cost most. What varies is the volume of questions, not the usefulness of the answers.

GETS, without leaving your AI assistant

Open opportunities, past awards and who won them, answered in plain English.

Talk to sales

GETS is the single front door for New Zealand government tenders, which makes it easy to watch and easy to misread. A small market means the same suppliers appear repeatedly across agencies, and the listing gives you no sense of that. You see the tender that is open. You do not see that the agency has bought this work twice before, or who from, unless you go looking for it separately.

Procurement Context puts the published records behind your AI assistant. You ask which agencies have bought a service and who supplied it, or what is open now against your categories, and the answer is drawn from the tender notices and contract award records. The only interface is MCP, so it answers inside Claude, ChatGPT or whichever assistant your team already uses.

In a market this size, incumbency is often the decisive fact. Knowing which supplier holds the work, whether the agency has a habit of extending, and whether the panel you would be competing against is already full changes how you spend bid time. Those are quick answers when the record is queryable, and they are hours of manual reading when it is not.

Use cases

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.

Who you are up against

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.

What the work goes for

Awarded contract records with values and dates. Price against evidence of what this buyer has paid before, not against a guess.

What is live right now

Open opportunities across every covered portal, filtered by the criteria your team actually qualifies on.

Tell us what you would want it to answer.

Four questions, so the conversation is useful. We come back to you directly.

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Questions

Does it cover New Zealand contract awards?: Yes. Awarded contract records are part of the dataset alongside open tenders, including the buying agency and the supplier who won. For a bid or no bid decision that history usually matters more than the tender text.
Can I ask about agencies and councils in one question?: Yes. You ask once and the answer covers the relevant buyers rather than requiring a search per organisation. Coverage is portal-agnostic, so additional public sources can be stood up where you need them.
How does it fit with the AI tools we already use?: It connects over MCP, so it works with Claude, ChatGPT, Copilot or any other MCP client. There is nothing new to log into and no dashboard to roll out.
Is this only useful for large bid teams?: No. The value is in not spending hours reconstructing history before deciding whether to bid, and small teams feel that cost most. What varies is the volume of questions, not the usefulness of the answers.