He Sat in the Tender Room Before He Built the Platform
Geoffrey Guilly spent years inside infrastructure and engineering businesses, managing the same procurement complexity that Aitenders now solves. When he built the company, he was not translating a market report into a product. He was solving a problem he had lived.
The Problem, From the Inside
If you have spent time in construction, infrastructure, or engineering, you do not need this explained. The volume of documents a major tender requires. The cost of pursuing an opportunity that should never have been chased. The teams rebuilt from scratch for every bid, the data that never flows from bid to delivery, and the expert judgment that stays in people’s heads rather than improving the next project.
The question was not whether the industry needed better tooling. It was whether anyone would build it specifically for this workflow, this data environment, and this risk profile. Generic AI was not the answer. A construction-specific platform, built from the inside out, was.
Geoffrey Guilly understood this before Aitenders existed. His career in infrastructure and engineering, across Egis, Systra, and Vinci, put him close to the decisions that construction companies make at bid time, and the consequences when those decisions were made without the right intelligence.
What he built
Analyze
Write
Deliver
Knowledge
All four modules operate behind the client’s firewall. Data is processed in memory only. Nothing is uploaded to a shared cloud.
In European regulated markets where GDPR and the US CLOUD Act create real compliance exposure, that is not a preference. It is a requirement.
Bid data is the most commercially sensitive material a construction firm holds. It stays inside the firm’s own environment, isolated per project, and is never shared between clients.
The results
The company reached real revenue and more than twenty enterprise customers before seeking a public market listing. That is unusual. And it matters, because it means the validation came from paying customers who chose to renew, not from a fundraising round.
01
2025 Revenue
C$2.0M
02
YoY Growth
84%
03
Customer Tier
2 of the top 3 largest construction companies in Europe. ENR Top 250 International Contractors, 2025
04
Customer Outcome
Up to 13x
ROI per licensing dollar — measured in estimator time saved, bid-accuracy gains, and penalties avoided.
05
Anticipated Listing
CSE:
The anticipated CSE listing under ticker BIDS is a company-building milestone. It provides the working capital to expand into North America, the next phase of a market that is running the same procurement complexity at even greater scale.
Why a Construction Professional Might Look at This Differently
Most investor audiences need the construction tendering problem explained. Construction and infrastructure professionals do not. They have lived the bid process, the document volume, the go/no-go pressure, the post-award margin squeeze. They understand why a platform that solves for the full lifecycle is not a feature addition to existing software. It is a category that did not exist before.
That understanding is an edge. The companies that move early into a real category, with enterprise validation and a disciplined founding team, tend to be the ones that compound. Aitenders is anticipated to list at approximately 17.5x current revenue. AI SaaS peers are currently trading at a median of 42.3x. The gap is not a permanent condition. It is a discovery gap.
Follow the Company as It Prepares to List
Subscriber updates cover key milestones, news releases, and investor materials as Aitenders advances toward its anticipated CSE listing under ticker BIDS.
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Important Notice
The content on this page is provided for general purposes only and does not constitute investment advice, an offer to sell, or a solicitation to purchase securities.
Investors are encouraged to review official company filings and consult with their financial advisors before making investment decisions.