Fragmented tender work
Companies must search portals, read long documents, check requirements and prepare files manually.
An AI-assisted workflow that helps Italian SMEs find suitable MePA tenders, understand requirements, prepare documents and reduce submission risk.
FASTender focuses on the operational gap between finding a tender and submitting a confident, compliant bid.
Companies must search portals, read long documents, check requirements and prepare files manually.
Small firms often cannot maintain dedicated legal or tender departments like larger competitors.
Missed documents, misunderstood criteria and deadline errors can block otherwise qualified SMEs.
The prototype shows FASTender as a guided system, not just a tender search engine.
Use the tabs and tender cards to see how the product could organize matching, eligibility and risk review.
EngGPT2 is presented as the AI layer that explains requirements, checks tender logic and helps SMEs understand next actions.
FASTender would process uploaded files only for tender preparation and keep compliance as part of the operating model.
Business documents and pricing data are handled for operational necessity, not unrelated model use.
AI-generated outputs are structured for user approval before tender submission.
The product concept includes traceability, risk awareness and clear limits for automated support.
FASTender turns a complex tender process into a clear operational workflow from matching to feedback.