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
2Supply and installation of central AC units
Air conditioning units for government buildings
Pricing and bidding teams rely on our data
























What is the AI Similar Tenders feature?
Semantic matching, specific to each tender
Why you need it when studying a tender
From tender text to a list of similar tenders in seconds
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.
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.
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.
What you find in each similar-tender card
Supply and installation of central AC units
Tender name and reference number
The title of the similar tender and its reference number to reach it directly on the Etimad platform.
Semantic similarity score
Reflects how close this tender is to yours based on vector matching; the higher it is, the closer the match.
Tender status
Shows the tender's current state (awarded, open, cancelled...) so you know whether award data is available.
BOQ items count
A quick indicator of how many BOQ items are available to review and compare against your tender's items.
Proposal and award values
The total monetary value of submitted proposals and the award value (monetary only, no item-level pricing details).
Similarity bar and match source
A visual representation of the similarity score, indicating the match was made semantically via AI.
Why you might lose opportunities without similar tenders
You price a tender without knowing its past versions
Keyword search misses look-alike tenders
You don't know who priced similar tenders
You price with no reference for proposal values
You waste time gathering BOQs
You price from scratch every time
Everything you need to study similar tenders in one place
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
| Item | Qty | Unit price |
|---|---|---|
| Central AC unit 5 ton | 12 | 4,200 |
| Insulated copper pipes (m) | 320 | 85 |
| Installation works | 1 | 38,000 |
Proposal values
Monetary onlyHow similar tenders help you price smarter
Understand your future competitors
Build a pricing reference from the market
Save hours of manual research
We don't let AI guess prices for you
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.
Why semantic matching beats manual keyword search
| Comparison | Manual keyword search | AI 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 |
Choose the plan that fits your need for full access to all government tenders
The annual package
Recommended Plan3500
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