Specgen is an AI-powered platform that helps organizations optimize their responses to complex calls for tenders and requests for proposals. Designed for bid management teams in demanding sectors such as construction, engineering, IT services, and defense, it automates the analysis of tender documentation, extracts requirements, drafts responses, and verifies compliance before submission.
Key Capabilities
- Document ingestion and analysis: Specgen accepts PDF, Word, Excel, and PowerPoint files without manual preparation or reformatting. The AI generates summaries for each document, extracts key information such as customer details, lots, eligibility and evaluation criteria, and submission dates, and identifies inconsistencies within the consultation file. This enables faster Go/No-Go decisions.
- Requirements detection and mapping: The platform automatically identifies, extracts, and structures all requirements from tender documents, building a comprehensive map of criteria that must be addressed in the response. This systematic approach reduces the risk of missed requirements and ensures proposals are fully aligned with buyer expectations.
- Response drafting: SmartDoc and SmartExcel modules write technical proposals directly in native Word templates and Excel questionnaires. Responses draw exclusively from the uploaded knowledge base, maintaining existing style guides, document structure, and brand consistency without relying on external sources or generic AI content.
- Knowledge base management: Teams can upload internal content including technical reports, past proposals, presentations, certificates, and financial documents. The AI uses this repository to generate personalized, consistent responses that reflect the organization established methodologies and evidence base.
- Compliance analysis: Before submission, BidMatching performs comprehensive criterion-by-criterion verification of the completed bid against the original tender requirements. It generates compliance scores per requirement, per document, and overall, then highlights specific deficiencies and provides actionable recommendations for improvement.
- Conversational search: A built-in chatbot enables users to ask natural language questions about both tender documents and internal knowledge base content, returning relevant passages with direct source links for verification and traceability.
Use Cases
- Bid management teams in construction, engineering, IT services, defense, and consulting who respond to public and private tenders and need to improve win rates while reducing proposal preparation time.
- Organizations seeking to reduce time spent on technical proposal writing while maintaining or improving compliance rates through systematic requirement verification.
- Companies handling sensitive or classified tender responses that require sovereign data processing within national borders and prefer on-premises deployment for complete data control.
- Teams managing multiple concurrent bids who need consistent, traceable responses grounded in their established knowledge base rather than starting each response from scratch.
Deployment and Security
- Cloud deployment available on ISO 27001 and ISO 27017 certified servers located in France. Customer data is never sent to external AI services and is not used for model training or any purpose beyond responding to the organization own tenders.
- On-premises installation option for organizations requiring complete control over their sensitive data within their own infrastructure, with custom sizing available.
- SSO integration via Microsoft Entra ID (Azure AD) using the OpenID Connect protocol, with MFA enforcement handled through existing Entra Conditional Access policies.
- The platform uses Mistral AI models hosted locally on dedicated infrastructure. All AI processing follows a human-in-the-loop model where every action is user-initiated, avoiding unnecessary computation.
- Specgen supports English, French, Spanish, Italian, German, and Danish for both document processing and response generation.
