Digital Contractor Qualification Statements™
Digital Contractor Qualification Statements are similar to analog versions of statements on steroids. They are the contractor’s AI Data in a digital format. A single source of verifiable company details AI technology requires to automate administrative processes.
BidForms transformed analog statements, manual review and quasi interpretation methods into an independent AI data library for autonomous analytics and the secure exchange of data as-required.
Contractors manually exchange this information with clients and supply chains on a daily basis. Emerging technology in the trades will process and exchange data autonomously to reduce the administrative overhead.
How it works
Insurance document autonomy
Published analysis w/o disclosure
Construction bid process automation
More than a company profile . . .
Digital Contractor Qualifications Statements™ are interactive AI data libraries incorporating Digital IAM to autonomously verify exchange of company data between approved users and technology platforms.
Multi-factor authentication assures confidential transmission of detail that update clients, key personnel, construction managers and supply chains. Integration with scheduling (and weather tech for affected trades) can autonomously align deliverables and manpower dispatching.
Public visibility highlight where contractors excel in their trade and specialty based on industry certifications, performance tracking and trade standard analytics.
There’s more than 20 different categories to evaluate every contractor and the most important at any given time will be influenced by external forces.
Analyzing that information is no longer subject to individual interpretations and adjunct metrics. Application of consistent independent analytics is applied to company structures, experience of personnel, progress feedback, customers and professional references.
DaCQS allow contractors to autonomously track the performance of builds projects and digitally record firms as the ‘Contractor of Record‘.
There’s more than 20 different categories to evaluate every contractor and the most important at any given time will be influenced by external forces.
Analyzing that information is no longer subject to individual interpretations and adjunct metrics. Application of consistent independent analytics is applied to company structures by category, experience of key personnel, progress feedback, customer and professional references.
Encrypted identity’s even allow contractors to track the historical performance of construction projects by establishing firms as the ‘Contractor of Record‘.
The contractors AI data advances analytics and autonomy offering clients a visual representation of the firms qualifications.
Independent assessment reports keep confidential data safe and protect critical financial detail without compromising value or market reach.
Behind the scenes, a DCQs AI library allow back office technologies to integrate industry data into business automation and recover months of manpower.
Standards Based Analytics for Every Trade
Digital qualification solutions apply consistent industry based analytics to contractor ratings. Service providers can analyze the effectiveness of field personnel and track the performance of completed projects.
Digital data allow contractors to analyze performance of personnel to identify and elevate key professionals. Project performance tracking enhance qualification statements with quantifiable analytics.
Standards Based Analytics for Every Trade
Digital qualifications solutions apply consistent and industry based analytics to contractor ratings. Categorized by company size and structure, customer references, experience and the expertise of field personnel to construction projects can be professionally analyzed.
Digital quality assurance analysis’ extends to construction professionals so contractors with top personnel can increase the value of their qualifications. The additional details provide prospects with information they may never have access to or consider.



