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TED·EU6,274 notices published▲ 144.2% vs 7-day avgHUNemzetközi utazásszervezések · €208mcloses 4dCZI/50 Bučovice, obchvat · €120mcloses 92dBE2025M042 - MP de fournitures relatif à la fourniture de termin · €21mcloses 8dSKZabezpečenie stravovania a doplnkového predaja v bufete pre za · €8mcloses 4dEEVõrgustikuanalüütika tarkvara Maksu- ja Tolliametile · €5mcloses 18dCBAMDefinitive regime live — certificates payable on 2026 importsEUCommission delegated act revising first-set ESRS dueUKProcurement Act s.70 payment-transparency quarter ends

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Governments are the largest buyers on earth.

Most of what they buy is published, and almost none of it is explained. We read the tenders — the annexures, the buyer's added conditions, the clauses that decide who is thrown out before price is even opened — and write down what we find.

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Category research · Subscriber access

Who buys it. Who wins it. At what price.

GeM publishes the bids and it publishes the awards — but never joined. We join them, category by category: the buyers worth chasing, the sellers already taking the volume, the thresholds that decide eligibility, and the clauses that throw bids out.

  • Buyers

    Every organisation active in the category, ranked by orders and value.

  • Sellers

    Who takes the largest share of awards, and how concentrated it is.

  • Thresholds

    Turnover, experience and EMD levels, read from the bid documents.

  • Price bands

    Where award values cluster, so a quote starts from evidence.

The groundwork

A machine reads the paperwork. People decide what it means.

A tender is rarely one document. It is a cover sheet that links to the files where the real requirements live, and those files are where bids are lost. Reading all of them by hand takes an afternoon per tender, so most bidders do not. Our pipeline does it in minutes — and the division of labour is deliberate: fixed rules handle every number, because a model that misreads ₹48 lakh as ₹48 crore will do it fluently.

  1. 01

    Fetch

    Tender documents are pulled from the portal itself, along with every file they link to — scope of work, buyer-added conditions, price formats.

  2. 02

    Read

    PDF, Word and spreadsheet are parsed to text. Scanned pages, which have no text layer at all, are read by a vision model rather than skipped.

  3. 03

    Extract

    Every figure that can disqualify a bidder — turnover, EMD, passing marks, deadlines — is pulled by fixed rules, never generated. Each carries the text it came from.

  4. 04

    Judge

    Only then does a model reason over the facts: what conflicts, what is buried in an annexure, what decides the award. Every claim quotes its source.

Every extracted figure carries the page and the sentence it was read from, and the report says plainly what it could not read. That is the whole standard: checkable, not confident.

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Renewable capacity is among the fastest-growing categories in Indian public procurement.

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Upload a tender or RFP document and get back a structured summary: what is being bought, what you must submit, which requirements would disqualify you, and how much work the response actually is.

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For businesses new to public procurement. We map which portals apply to you, what registration actually requires, and whether your category is realistically winnable.

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You have a live tender and a draft response. We review it against the published evaluation criteria and tell you what would get it eliminated before anyone scores the technical content.

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For manufacturers and exporters deciding whether a public market is worth entering. Category demand, who currently wins, price levels, and the realistic cost of getting qualified.

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A short conversation is usually enough to tell whether an opportunity is realistic, what would disqualify you, and where your effort is best spent.