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Bid or pass, before you commit the team.

On every SEAO notice, a verdict — favourable, mixed, unfavourable, or insufficient signal when the information is missing. Behind it, what to dig into: the competitors, the client and your references, the published prices. One click, on any open notice.

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Offra app · notice

Réfection de la toiture — école primaire

Subscription

Mixed

63.7 out of 100

  • Sector fit · weight 30261 bids in this family, 32 won
  • Expected competition · weight 204.5 expected, 4% chance of being alone
  • Price position · weight 2014.8% above the winner, over 1,451 observations
  • Buyer relationship · weight 158 bids with this buyer, 5 won
  • Contract size · weight 15$514,000, below your usual range

The verdict

A grid, not a black box.

A score out of 100 and five factors, each shown with its weight: your fit with the sector, the expected competition, your usual price position, your relationship with the buyer, the size of the contract. Unfavourable factors are shown as plainly as the rest, and when the information is missing the grid says so instead of printing a middling number. Then come the points to settle before you bid.

Mixed63,7 sur 100
Sector fit
Poids 30

261 bids in this family, 32 won

Expected competition
Poids 20

4.5 expected, 4% chance of being alone

Price position
Poids 20

14.8% above the winner, over 1,451 observations

Buyer relationship
Poids 15

8 bids with this buyer, 5 won

Contract size
Poids 15

$514,000, below your usual range

Taken from the demonstration report. A factor with no data abstains rather than counting as zero. When too many factors fall silent, the grid answers “not enough signal” and shows no score at all — a refusal to conclude, not a hedged answer.

The feed

Open notices, sorted by verdict.

The subscription's feed ranks open notices for your company, then by closing date, and shows the favourable and mixed ones first.

Offra app · opportunities
Regions · all

5 notices

  • Réaménagement d'une cour d'école

    Centre de services scolaire des Hauts-Vents · Montréal

    Favourable66 out of 100

    Closes in 2 days

  • Pavage de rues — secteur nord

    Municipalité de Val-Ferrière · Laurentides · Published estimate $1.1M

    Favourable68 out of 100

    Closes in 9 days

  • Réfection de la toiture — centre communautaire

    Ville de Sainte-Ombre · Montérégie · Published estimate $840K

    Favourable71 out of 100

    Closes in 12 days

  • Services d'ingénierie — réseau d'aqueduc, phase 2

    MRC du Lac-Ferrand · Capitale-Nationale

    Mixed55 out of 100

    Closes in 6 days

  • Remplacement de conduites d'eau potable

    Ville de Roche-Blanche · Chaudière-Appalaches · Published estimate $460K

    Mixed51 out of 100

    Closes in 21 days

The filters work. The tenders and bodies named are fictional; the layout, sorting and filters are the app's.

Competitors

Who you will be up against.

The expected number of bidders, your chance of being the only one, and the firms this buyer keeps seeing, with your history against each. The list is for recognising names, not for predicting the envelope opening.

Attendus
4.5
Chance of being alone
4%
Unpredictable entrants
≈ 0.0

Measured mean error of 1.9 bidder. The “unpredictable” ones are the companies we expect to file without being able to name them, for want of a record in SEAO.

Extract — How intense the competition is
  • 1AMÉNAGEMENTS MIRVAUX[object Object] · [object Object] · [object Object]18%
  • 2EXCAVATION DUFRESNOY INC.[object Object] · [object Object]17%
  • 3LES PAVAGES MONTVAL INC.[object Object] · [object Object]14%
  • 4ORVILLE QUÉBEC CONSTRUCTION INC.[object Object]13%

Out of 656 companies assessed. On average 1.0 of these names will actually file a bid — the list is for recognising who circles this buyer, not for predicting the exact roster. Noms fictifs.

Extrait — section Concurrents probables

Client and references

How this buyer awards, and what you have already done.

Its own public record: what it usually awards, its repeat suppliers, its bidding windows, its cancellations. And, when your company is recognised in SEAO, your won contracts closest to this one — the references to put forward.

Ville de Saint-Lazare

Notices published
326
Bidders (median)
1
Repeat suppliers
32%
Notices cancelled
1.2%
Bidding window (median)
21 jours
Extract — Buyer section. No forecast here: these are the figures from this buyer's own public record.

Price

Published prices first.

Comparable contracts already awarded and their real amounts, the spread observed between bidders, your own usual position. What the market has already paid, before any estimate.

Experimental estimate — not a price to bid

A range for the winning price, shown folded, as in the app. On tenders it had never seen, the wide range held the awarded price 79.4% of the time. It is a distribution, never an amount to file. The measurements in detail

$197K$1.2M

50% range from $252K to $760K, inside the 80% one. The report publishes no single amount.

Extract — Price range section

What we cannot see

A tool that claims to know everything will cost you a contract.

We know neither your costs, nor your capacity, nor what is arranged outside the public process. What escapes us is written here and in every analysis.

Companies with no history
About 3% of real bidders leave no trace in SEAO. We tell you how many unpredictable entrants to expect instead.
Your costs, and theirs
We see filed prices. Not order books, and not an urgent need to fill a summer. No figure here is a price recommendation.
The smallest contracts
This is our weakest segment. Every analysis shows the level of information it actually had, rather than the same confidence everywhere.

The forecasts are measured on tenders published after their training date, and every historical fact is rebuilt as it was known on the day of publication. The method in detail · Measured accuracy

Questions

Where does the data come from?
From the Quebec government's electronic tendering system (SEAO), published as open data under CC-BY 4.0. We neither buy nor resell any data about companies.
Is the verdict an artificial intelligence deciding?
No. It is a weighted grid over five measured factors, shown with its weights. Nobody publishes whether a company should have bid, so there is nothing to learn from. You can contest the grid factor by factor.
Are the companies named really the ones who will bid?
No, and Offra does not claim they are. The list is probabilistic, and its shortcoming is measured: out of ten names proposed, one or two actually file on average — an open public call drew only 4.2 bidders on average in 2025, according to our public procurement review. What it does achieve is containing about 43% of those who really file — 44% if you exclude companies with no SEAO history, which nothing can predict.
Can my competitors see my analyses?
No. An analysis is produced for your company and is visible only to the members of your workspace. It is computed from public data, including your own history, which is already in SEAO.
What about federal and municipal notices?
They carry no verdict. Those sources publish a contract's winner, never the losing bids, so the grid would have almost nothing to weigh. You find, track and prepare them in Offra like any other.

The other features

Get started

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