Tenpal is an AI-powered service that automates the entire public tender process for companies, from searching and filtering relevant opportunities to preparing complete bid documents. The service reduces time spent on tender management by up to 90% while increasing win rates through semantic matching and automated document preparation.
Funding
Funding not disclosed
Founders
Product
Problem
Companies waste significant employee hours manually searching multiple public tender portals, filtering through hundreds of descriptions, and preparing bid documents—a process that is error-prone, inconsistent, and not scalable. Each tender requires roughly 5 hours of search time, 2 hours of document review, and 8-15 hours of bid preparation, creating a substantial administrative burden that limits how many opportunities a company can pursue.
Solution
Tenpal provides an AI-powered tender agent that handles the complete public procurement workflow, from identifying relevant opportunities to preparing ready-to-submit bid documents. The service automatically monitors 44,109 contracting authorities across all major German tender portals, analyzes each tender against the company's specific service profile using semantic matching rather than simple keywords, and delivers a curated list with clear fit ratings. Once a tender is selected, Tenpal processes the procurement documents, fills in forms and evidence from the company's existing materials, and prepares approximately 80% of the bid documentation—leaving the company to review content, add pricing, and submit the final offer. The service operates without requiring any software installation, system integration, or training, functioning as a fully managed service where clients provide information and receive finished results.
Target Audience
Primary customers are small to mid-sized IT service providers and technology companies in Germany that bid on public sector contracts with a minimum volume of €250,000, particularly those serving public administration clients.
Features
- Centralized monitoring of all German tender portals including DTVP, Vergabe24, TED, and evergabe, covering 44,109 contracting authorities
- AI-powered semantic matching that analyzes tenders against the company's service profile, considering services, technologies, certifications, regions, volumes, and references
- Automatic evaluation of past company tenders to build a reliable performance profile without manual configuration
- Curated tender list with clear fit ratings (high, medium, low) and document status tracking showing preparation progress
- Automated bid document preparation including forms, evidence, and applicant questions, with approximately 80% of documentation pre-filled
- Service-based delivery model requiring no software installation, system integration, or employee training
- Manual review and final control maintained by the client, who reviews content, adds pricing, and submits the offer themselves