Scait
Scait provides an AI platform for Swiss construction companies to streamline their bid and tender process. The platform automatically analyzes tender documents, verifies bill of quantities, and assesses contract risks, replacing manual reviews and gut-feeling decisions with data-driven recommendations. It has processed over 1.9 billion CHF in project volume across roughly 200 projects and more than 50,000 documents.
- Construction Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Construction companies in Switzerland often manage their bid and tender process through a fragmented mix of email, Excel spreadsheets, and manual document reviews, leaving no central system to coordinate the workflow. Inefficient pre-screening leads to hours spent reviewing unsuitable tenders, and go/no-go decisions frequently rely on gut feeling rather than data. Knowledge from past projects lives in employees' heads and isolated files, so when a calculator leaves the company, that experience is lost.
Solution
Scait provides an AI platform that processes entire tender packages—contracts, bills of quantities, and pre-conditions—as a connected system to support the bidding process. The platform automatically extracts project key data, checks documents against standards, verifies plausibility of quantities and pricing, and delivers risk assessments with clear recommendations. A structured process layer includes automatically generated checklists, task assignments, and deadline monitoring for each project. The system also builds a searchable company knowledge base, capturing reference values and risk profiles from every completed project to inform future bids.
Target Audience
Primary users are Swiss construction companies, particularly managing directors, estimators, and calculation specialists who need to evaluate and prepare bids for public and private tenders.
Features
- AI-based contract analysis that automatically checks tender documents against norms and company risk profiles, categorizing risks as high, medium, or low
- Bill of quantities verification including mass balance calculations for earthworks (excavation vs. disposal volumes with bulking factors) and reinforcement content ratios (steel kg per concrete m³) for structural work
- Automatic extraction of project key data such as volume, deadlines, region, and involved parties for structured go/no-go decision support
- Automatically generated project-specific checklists derived from tender requirements, with deadline monitoring and responsibility assignments
- Searchable knowledge base that stores reference values and risk profiles across all projects, making company expertise accessible regardless of personnel changes
- Analyzed over 1.9 billion CHF in project volume across roughly 200 projects and more than 50,000 documents