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Tenderbolt

Tenderbolt · Bagneux, France · founded 2024

What it is

Tenderbolt is an AI platform for preparing responses to RFPs, RFQs, and public tenders. It extracts requirements, deadlines, penalties, and scoring criteria into a structured summary to help teams assess a bid. For questionnaires, it drafts responses to Excel files, DDQs, and security portals from a company knowledge base. It can also create technical proposals aligned with client requirements and link proposal content to source documents. Teams can assign questions, review answers, track validation, and coordinate tender work in a shared workspace. Its content library accepts PDF, Word, Excel, and PowerPoint knowledge files, and answers can be returned in a client's original format. Listed integrations include SharePoint, Google Drive, Notion, CRM and ERP tools, and a REST API. Tenderbolt says answers are tied to source documents and missing information is flagged rather than invented. It states data is hosted in Europe, encrypted, and kept in private workspaces under SOC 2 Type II standards. Pricing is on request.

For and against

For

  • Summarizes tender requirements, deadlines, penalties, and scoring criteria.
  • Drafts questionnaire answers from company knowledge sources.
  • Links proposal content to source documents.
  • Supports shared assignments, review, and validation tracking.

Against

  • Pricing is available on request.
  • Teams are invited to book a demo before starting.

The verdict

Tenderbolt brings qualification, drafting, and team review into one tender workflow. Its pricing is tailored to team size and RFP volume, so prospective customers need to request details.

Who it suits

Tenderbolt is aimed at companies of different sizes with recurring bid volumes, including SMEs and enterprise teams that collaborate on tenders.

Plans and prices

Custom pricing

Priced on request

No generic pricing grid stated

Every plan, in full

On the record

AI traceability
Answers are linked to source documents, and the FAQ says missing information is flagged instead of invented.tenderbolt.ai · read 3 Oct 2026
Collaboration
Teams can assign questions to contributors, review answers, track validation, and manage tender work in a shared workspace.tenderbolt.ai · read 3 Oct 2026
Reusable content library
Yestenderbolt.ai · read 20 Sep 2026
Data use
The company says customer data is not reused or used to train shared or public AI models.tenderbolt.ai · read 3 Oct 2026
Go/No-Go analysis
It extracts requirements, deadlines, penalties, and scoring criteria to produce a structured tender qualification summary.tenderbolt.ai · read 3 Oct 2026
Hosting provider
The legal notice says the Tenderbolt website is hosted by Google Cloud Platform in Europe.tenderbolt.ai · read 3 Oct 2026
Integrations
The site names SharePoint, Google Drive, Notion, CRM and ERP tools, and a REST API as integration options.tenderbolt.ai · read 3 Oct 2026
Proposal drafting
It generates structured technical proposals aligned to client requirements and links proposal content to source knowledge documents.tenderbolt.ai · read 3 Oct 2026
Purpose
Tenderbolt is an AI platform for responding to RFPs, RFQs, and public tenders.tenderbolt.ai · read 3 Oct 2026
Questionnaires
It drafts responses to Excel questionnaires, DDQs, and security portals using answers sourced from the company knowledge base.tenderbolt.ai · read 3 Oct 2026
Security
Tenderbolt states that data is hosted in Europe, encrypted, isolated in private workspaces, and handled under SOC 2 Type II standards.tenderbolt.ai · read 3 Oct 2026
Support and onboarding
The site invites prospective customers to book a demo and says teams can start using the platform in less than 24 hours.tenderbolt.ai · read 3 Oct 2026
Supported formats
The questionnaire feature supports PDF, Word, Excel, and PowerPoint knowledge files and can return answers in a client's original format.tenderbolt.ai · read 3 Oct 2026
Target customers
Tenderbolt describes its audience as companies of all sizes, including SMEs and enterprise accounts, with recurring bid volumes.tenderbolt.ai · read 3 Oct 2026

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