Upload any tender document and instantly query it with natural language. Get cited, source-linked answers — not hallucinations.

Stop reading 300-page PDFs. Start querying them like a database — with answers your team can trust and verify.
Our AI reads the entire document and comprehends relationships between sections, addenda, and annexures. Ask it anything — it reasons like an expert.
No black-box AI. Every response includes exact source references you can click to verify. Build trust with your team and clients instantly.

The AI proactively surfaces the critical questions bid teams typically miss — saving hours of manual review and ensuring nothing falls through the cracks.
Procurement and bid teams face the same four problems on every single tender. TenderShark X was built to solve all of them.
Bid teams spend 40+ hours per tender manually reading documents, leading to missed deadlines and fatigue errors.
The same questions get answered again and again across tenders. No institutional memory, no efficiency gains.
Critical details buried in annexures, addenda, and footnotes get missed. Teams rely on incomplete information.
Amendments scattered across emails and portals create contradictions. Bidders submit on outdated specs.
A four-step workflow that eliminates manual reading and delivers precise, cited answers on demand.
Drag and drop your PDF, DOCX, Excel, or paste a URL. TenderShark X ingests the entire document set — including addenda, corrigenda, BOQs, and annexures — in under 60 seconds.

Type your question exactly as you'd ask a colleague. "What's the EMD amount?", "Are there any joint-venture restrictions?", "What certifications are required?" — the AI answers all of them instantly.

Every answer includes the clause number, page reference, and originating document. Click any citation to jump directly to the source — no more hunting through PDFs.

Save important answers, track open questions, and export a full Q&A brief for your team. Built-in follow-up workflows ensure every critical question gets answered before submission.
