Minerva offers an AI‑driven platform that continuously crawls EU public procurement portals, extracts and structures tender specifications, and ranks opportunities by budget relevance and win probability. It automates bid drafting with compliance validation, provides real‑time alerts on document changes, and integrates via API and CRM connectors to give procurement teams collaborative dashboards and workflow automation.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises seeking public contracts must manually scan fragmented tender portals, interpret dense legal and technical specifications, and allocate specialist time to assess strategic fit—processes that are time‑consuming, error‑prone, and often result in missed opportunities.
Solution
Minerva applies natural‑language processing and machine‑learning to continuously crawl EU tender databases, surface opportunities that match user‑defined criteria, and rank them by budget relevance and win probability. The platform parses procurement documents, extracts key requirements, benchmarks pricing against historical award data, and highlights compliance risks within minutes. Automated bid drafting tools generate required sections, perform consistency checks, and suggest competitive language, freeing experts to refine strategy rather than perform repetitive paperwork. Real‑time monitoring alerts teams to document revisions, competitor filings, or deadline changes, ensuring proactive response. Seamless API and CRM connectors embed Minerva’s workflow into existing procurement ecosystems, while role‑based dashboards provide collaborative visibility across the bid lifecycle. The solution can be onboarded in roughly 30 days and scales from single users to enterprise‑wide deployments.
Target Audience
The primary users are procurement departments, bid managers, and business development teams in mid‑size to large enterprises that regularly compete for public sector contracts across industries such as construction, healthcare, technology, and manufacturing.
Features
- AI‑driven tender discovery engine with multi‑dimensional filters (sector, region, budget, deadline) that indexes all EU public procurement portals
- NLP extraction pipeline that parses specifications, eligibility criteria, and evaluation metrics into structured data
- Machine‑learning win‑rate scoring model trained on historic award outcomes and pricing benchmarks
- Automated bid component generator with built‑in compliance validation and template customization per industry
- Real‑time change detection service that monitors document updates, competitor submissions, and deadline shifts, delivering instant alerts
- RESTful API and native CRM integrations (e.g., Salesforce, Microsoft Dynamics) for bid data synchronization and workflow automation
- Role‑based collaborative workspace with configurable dashboards, task assignments, and audit trails
- Customizable AI model layer allowing organizations to fine‑tune scoring algorithms to sector‑specific nuances