Match tender line items to your catalogue, inside Excel.
Suppliers with large catalogues get RFPs where every line is a vague description: "sterile gauze, 10×10cm, non-woven, 100/pack". Matching those lines to your real SKUs is days of manual work. Tenderiser reads the tender and surfaces the best matches from your catalogue, with confidence scores, directly in the spreadsheet you already use.
From vague RFPs to matched SKUs in minutes.
Three steps. No new tools to learn beyond a single Excel add-in.
Import your catalogue
Upload your product catalogue as CSV or XLSX. SKUs, descriptions, specs, units, whatever you already maintain.
Install the Excel Add-in
Install once. Tenderiser lives in a side panel inside Excel on Windows and Mac.
Match and review
Open a tender workbook. Tenderiser reads each line and proposes matches from your catalogue with confidence scores. You approve, override, or ask for alternatives without leaving Excel.
Built for the messy shape of real tender documents.
Free-text bid documents on one side, your structured catalogue on the other. Tenderiser bridges the two.
Semantic matching, not string matching
Tenderiser understands that "gauze pad 10×10 sterile" and your SKU GAUZE-STERILE-100X100-NW are the same product, even when the wording, units, or order of attributes differ.
Confidence scores on every suggestion
Every match comes with a confidence score and shows which attributes drove the decision. Your bid team can review the weak ones fast and trust the strong ones.
Lives inside Excel
No new platform. Tenderiser is an Excel Add-in. If your bid workflow is already in a workbook, it stays there.
Your catalogue, your vocabulary
Tenderiser adapts to your naming conventions, spec fields, and units of measure. Keep your existing catalogue. No mapping into a rigid taxonomy.
Run it as SaaS, or fully air-gapped on your own infrastructure.
Two deployment modes. Pick the one that fits your data-handling requirements.
SaaS
Hosted in the European Union on Hetzner. Matching runs through the OpenAI API as a subprocessor. Your catalogue and tender content are never used to train shared models.
Details in the Privacy Policy.
On-premise, air-gapped
For customers with strict data-residency, confidentiality, or air-gap requirements. Tenderiser runs on infrastructure you control, using open-source models retrained on your catalogue. Nothing leaves your network, not to us and not to any third party.
Ask us about scoping and pricing.
Custom pricing.
Pricing depends on catalogue size, number of seats, and whether you run SaaS or on-premise. We quote each engagement individually. Get in touch and we'll walk you through it.
See it on your own catalogue.
Send us a sample of your catalogue and a tender you're working on. We'll show you what Tenderiser matches, where it needs help, and what a rollout would look like, on your data.