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Find similar tenders the moment you study any tender

For every tender you study, AI surfaces the most similar tenders through vector-based semantic matching. Discover past versions of the same tender and closely related ones, and open their BOQ data, proposal values, and awards alongside.

AI Similar Tenders

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With proposals only:
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Supply and installation of central AC units

Reference: 260239007565
Agency: Riyadh Municipality
City: Riyadh
96%Awarded
BOQ items
34
Proposal
1.84M
Award
1.72M
Semantic match
Similarity:
96%
96%

Air conditioning units for government buildings

Reference: 250123456789
Agency: Ministry of Health
City: Jeddah
91%Awarded
BOQ items
41
Proposal
2.10M
Award
1.95M
Semantic match
Similarity:
91%
91%
Tenders ranked by semantic similarity to the tender you are studying.

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Smart matching for every tender

What is the AI Similar Tenders feature?

Semantic matching, specific to each tender

For every tender you study, we turn its content into a vector and compare it against millions of tenders in a vector database to surface the closest ones by meaning, not just by keyword overlap.

Why you need it when studying a tender

It reveals past versions of the same tender and the tenders most similar to it, along with their BOQs, proposal values, and awards, so you price knowing the market instead of guessing it.
How matching works

From tender text to a list of similar tenders in seconds

We use vector-based semantic matching to find the tenders closest to yours, then link them to their full historical data.
1

Turn the tender into a vector

We analyze the tender name, description, activity, and items and turn them into a numeric representation (embedding) that captures their meaning.

2

Search the vector database

We compare your tender's vector against millions of tenders in the vector database and compute a similarity score for each.

3

Link data and show results

We rank the most similar tenders and link them to BOQs, proposal values, and awards for you to review directly.

Anatomy of the card

What you find in each similar-tender card

Every similar tender is shown in a unified card that gathers the important data in one place. Here is what each part means.
1

Supply and installation of central AC units

Reference: 260239007565
Agency: Riyadh Municipality
City: Riyadh
296%
3Awarded
4
BOQ items
34
5
Proposal
1.84M
Award
1.72M
6 Semantic match
Similarity:
96%
96%
1

Tender name and reference number

The title of the similar tender and its reference number to reach it directly on the Etimad platform.

2

Semantic similarity score

Reflects how close this tender is to yours based on vector matching; the higher it is, the closer the match.

3

Tender status

Shows the tender's current state (awarded, open, cancelled...) so you know whether award data is available.

4

BOQ items count

A quick indicator of how many BOQ items are available to review and compare against your tender's items.

5

Proposal and award values

The total monetary value of submitted proposals and the award value (monetary only, no item-level pricing details).

6

Similarity bar and match source

A visual representation of the similarity score, indicating the match was made semantically via AI.

Situations you know all too well

Why you might lose opportunities without similar tenders

Finding past versions and related tenders manually is tedious and inaccurate, and these scenarios are familiar to anyone who prices a tender.

You price a tender without knowing its past versions

You later discover the same tender was issued before with prices and awards that could have guided your bid.

Keyword search misses look-alike tenders

Keyword search misses tenders that mean the same thing but are worded differently.

You don't know who priced similar tenders

You are unaware of past bidders on similar tenders, who are often your future competitors on the same type.

You price with no reference for proposal values

You enter the tender with no indication of the range of proposal and award values on comparable tenders.

You waste time gathering BOQs

You dig through multiple tenders to gather BOQ items instead of finding them linked in one place.

You price from scratch every time

You don't leverage your experience or accumulated market data because reaching it is exhausting.
Data that helps you understand competitors

Everything you need to study similar tenders in one place

Beyond semantic matching, we link each similar tender to its full data so you can reverse-engineer pricing strategies yourself, with your own expertise.

A clear similarity score per tender

We show a semantic similarity percentage for each similar tender so you know precisely how close it is to yours.

Past versions of the same tender

We reveal earlier issuances of the same tender so you can compare specs, quantities, and awards over time.

BOQs of similar tenders

Open the BOQ items of comparable tenders to review and compare them against your tender's items.

Proposal and award values

View the monetary values of submitted proposals and awards (monetary value only) to build a market reference.

BOQ & pricing reference

ItemQtyUnit price
Central AC unit 5 ton124,200
Insulated copper pipes (m)32085
Installation works138,000

Proposal values

Monetary only
Competitor A
1.72M
Competitor B
1.84M
Competitor C
2.01M
You decide the price
Enter pricing knowing the market

How similar tenders help you price smarter

It is not just a list of tenders, but a complete reference that helps you understand competitors and pricing history before you submit your bid.

Understand your future competitors

Past bidders on similar tenders are often your future competitors, so know them before you price.

Build a pricing reference from the market

Review proposal and award values and BOQs on similar tenders to form a realistic price range.

Save hours of manual research

All similar tenders and their data are linked automatically on the tender study page, with no exhausting search.
Our pricing philosophy

We don't let AI guess prices for you

We give you the data and tools to price yourself, and we do not suggest a price for your financial proposal. Simply because pricing is an expert decision that needs context the model does not have.

It doesn't know your company

The model has no sufficient context about your costs, margins, and operational capacity to suggest a price that fits your situation.

It doesn't know BOQ item pricing details

Pricing BOQ items depends on actual costs, suppliers, and contracts that do not appear in tender data.

It lacks the expertise of bidding and sales officers

Reverse-engineering a pricing strategy is a human skill mastered by tendering and sales specialists, not an automated inference.

It doesn't know each competitor's context

The model has no sufficient context about the competitor who submitted a given bid to justify its value or generalize it to your tender.

That is why we only present trustworthy data: proposal and award values (monetary value only), BOQs, and similar tenders, and we leave the pricing decision to your own expertise.

The difference is clear

Why semantic matching beats manual keyword search

Manual keyword search misses tenders that are similar in meaning, while semantic matching surfaces those actually closest to yours.
ComparisonManual keyword searchAI semantic matching
Basis of matching
Keyword overlap only
Meaning similarity via vectors
Finding past versions
Hard and unreliable
Automatic, ranked by similarity
Differently worded tenders
Often missed
Surfaced if meaning is similar
BOQ linking
Tedious manual gathering
Linked automatically
Proposal and award values
Separate search
Shown with each similar tender
Time required
Hours
Seconds
Bid price suggestion
Personal guess
We give data, we don't guess the price
Flexible pricing plans and guaranteed value

Choose the plan that fits your need for full access to all government tenders

Every plan gives you full access to tenders, instant alerts, AI-powered analysis, and detailed data that helps you read the market with confidence, at competitive prices that ensure the highest value for what you pay.

The annual package

Recommended Plan
Only
155
Saudi Riyal Symbol
/month!

3500

1850

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/ 12 months (Auto-renew Every 12 months and can be stopped)
Complete tender details, submission links, export to Excel, and customized notifications for one year
2 days left before the price increases
40%
Save more with longer plans Saving (50%)
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Rating 4.9
461 Ratings Count
What do you get once subscribed?

Never price a tender without seeing its peers

Start studying your tenders with their similar tenders and full data, and enter pricing knowing the market.

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Frequently asked questions about AI similar tenders

Clear answers to the most important questions about semantic tender matching.
We turn your tender's content into a vector and compare it against millions of tenders in a vector database, then show the most semantically similar ones with a similarity score for each.
Keyword search looks for textual overlap only, while semantic matching understands meaning, so it finds similar tenders even if their words differ.
Yes, one of the feature's key uses is revealing earlier issuances of the same tender so you can compare specs, quantities, and awards over time.
You get the similarity score, BOQs, and proposal and award values (monetary value only), in addition to tender details and status.
No. We give you the data and tools to price yourself, and we don't let AI guess the price because it lacks sufficient context about your company, BOQ item pricing details, and the expertise of bidding officers.
No, only the total monetary value of proposals and awards is available, not the pricing details of each item.
Past bidders on similar tenders are often your future competitors, and reviewing their proposal values and BOQs helps you understand their direction.
Yes, matching is computed for each tender you study individually to show the tenders closest to that specific one.
It appears automatically inside the tender study page within the AI Similar Tenders section.
Yes, the similar tenders feature is available within subscription plans for full access to tender data.