Hundreds and thousands of tenders — analyzed fully automatically, tirelessly, with the same knowledge and judgment.
Construction & SI firms · measured by clients · names withheld under NDA
Before · Manually searched public construction tenders daily, relying on staff experience to check eligibility and track record.
After · Automatically collects and screens tenders and pre-specifications, generating review drafts through batch full analysis.
Deciding which tenders to pursue used to be a matter of gut feeling. Now we choose with evidence. We no longer miss tenders, and by focusing on winnable ones, the wins followed.
Before · Staff split monitoring across channels and wrote proposals from scratch, making headcount the ceiling on revenue.
After · After grasping existing systems via AI reverse engineering to build company knowledge, tenders are auto-judged and batch analysis greatly expands proposal throughput.
Headcount was our revenue limit. Now the AI agent carries everything from discovery to drafting, and we focus on strategy. The same team now proposes far more projects, and that showed up as revenue.
Automatically collect, judge, and propose on G2B, Bizinfo, and K-Startup tenders (featured case)
Runs identically on fully air-gapped, on-premise environments (no data leaves; isolated schema)
Enter a client's RFP or requirements and it instantly analyzes and drafts in the same form
The AI bidding agent applies immediately upon deployment. Leave us an inquiry for adoption or a demo.
