AI-powered tendering software built for Australian SMEs.
The only solution trained on actual government procurement policies and evaluation models.
Tenders can feel like a black box for SMEs. Endless requirements. Weeks of writing. Last minute crunching. Big competitors with bigger budgets. No wonder SMEs only win a fraction of government contracts.
The first AI built exclusively for SMEs bidding on government tendering, trained on real procurement policies, evaluation models, and participation rules across every Australian jurisdiction.
Capture your organisation’s unique know-how in a secure library of past proposals, capability statements, CVs, and supporting documents. TenderPilot turns your IP into a searchable, structured asset, helping you analyse tender requirements, identify gaps, and draft faster, tailored responses that win.
Take the guesswork out of bidding. TenderPilot analyses each tender opportunity, runs a SWOT assessment, and benchmarks you against competitors. Get tailored recommendations rooted in real procurement logic, so you only bid when your chances are strong, and shape a strategy built to win.
TenderPilot writes content for you, or reviews your drafts, specifically against official evaluation criteria, providing precise, actionable feedback. Refine your responses, align with buyer expectations, and maximise your scoring potential. Spend less time drafting, and more time closing contracts.
Run a pre-evaluation before you lodge your bid. TenderPilot scores your submission against weighted and non-weighted criteria, compliance rules, and value-for-money measures. Identify strengths, spot weaknesses, and apply targeted improvements, boosting your win rate and confidence.
TenderPilot helps SMEs win more government tenders, faster, smarter, and without costly consultants or endless guesswork.
Be one of just 200 forward-thinking SMEs shaping what’s next. Pilot, pressure-test, and co-create the future of tendering. Part beta. Part VIP club. All access.
As a member of the Founding 200, you’ll receive: