Create and pilot iOS and Android learning-companion apps with RAG, EU processing, childcare-facility support and an optional production rollout.

Excellent product and delivery fit; formal AI references, pedagogical expertise, named team and bid-specific privacy evidence remain incomplete.

Validate the existing Phase 0 design, build and populate a multilingual government knowledge portal with six content modules, AI-supported cited search, learning integration readiness, portal analytics and a limited WhatsApp pull-access proof of concept, then host, pilot and hand it over for NIC/MoRD operation.

Excellent product and competency fit across Uroboros-style evidence platforms, Responsis-style multilingual retrieval, AcademyAI learning workflows, CMS/search, secure cloud and government handover; formal qualification, India delivery and named-team evidence are unresolved.

Prepare statutory municipal heat plans for eight Saxon municipalities, including GIS-based inventory and potential analysis, scenarios, supply zones, measures, digital-twin handover and extensive public participation.

Strong Mimir product fit for spatial evidence, scenarios, indicators, GIS handover and the public project portal; the current company pack does not evidence the mandatory planning-prime qualifications.

Adapt, localise, deploy and support an open-source mobile app for childcare operators to collect operational, financial, attendance and child-development data in low-resource settings.

Strong mobile, evidence, research and usability fit; the domain-reference and named key-staff gates are unresolved.

Establish a global roster for software engineering, AI, cloud, data, DevSecOps, enterprise applications, UX, managed services and delivery support.

Portfolio-wide technical fit; this EOI publishes no final scale, financial, reference or staffing thresholds.

Technically steer, converge, extend and roll out AU-DOHP, RePan, HUSIKA and the Malawi Analytics Platform, including data integration, multilingual speech, training, support and open-source governance.

Strong fit across data platforms, research analytics, multilingual speech, observability and enablement; the incumbent stack also matches Python/Django, React/Next.js, Keycloak, Airflow, MinIO, Druid and Superset capabilities.

Deliver and operate a multilingual voice-and-text citizen-service chatbot, animated avatar, open integration layer and two alternative public-space kiosk solutions, including accessibility, security, support and a three-year operating phase.

Strong Talky and Responsis fit for dialogue, RAG, administration, integrations and privacy; the bid still needs proven avatar delivery, certified hosting and public-space hardware capability.

Fund a market-oriented international R&D project led by an innovative SME with at least one independent partner in another Eurostars country.

Potential route for regulated AI, municipal energy, multilingual voice or evidence-platform R&D; consortium, TRL and budget gates are unresolved.

Build a modular web GIS for Bavarian deep-geothermal assessment with spatial analysis, reservoir and borehole data, interference forecasting, TUM models, AI surrogates and complete source handover.

Direct Mimir platform fit; formal GIS references, German authority-data experience, insurance, named experts and geothermal-model partnership are unresolved.

Fund cross-sectoral solutions for climate transition and sustainable, secure and competitive energy.

Strong municipal energy-planning, evidence and decision-intelligence contribution.

Fund cybersecurity tooling for software and hardware development and assessment.

Strong software-supply-chain, evidence and telemetry contribution.

Support digitalisation of distribution-system operators for the smart-energy transition.

Strong data, interoperability, monitoring and decision-platform contribution.

Support effective heat and cooling planning under the LIFE Clean Energy Transition programme.

Excellent Mimir thematic fit with a consortium gate.

Supply, configure, host and operate a white-label multilingual cloud LMS for the European Raw Materials Academy and European Advanced Materials Academy, supporting at least 200,000 unique learners and 300,000 enrolment tokens through July 2029.

Good product-adjacent fit for AcademyAI, content, assessment, certification and integration work, but Digital David's evidence pack does not establish the mandatory 100,000-learner LMS reference, insurance, security certification, accessibility assurance or tender-ready expert team.

European scale-up funding for high-risk, high-impact innovation.

Potential fit for Perspectify, Mimir, ContextSign, DMARCify or Kuebiko with a single focused thesis.

Fund doctoral programmes, including an AI-in-science pilot.

Strong industry-partner fit for AI-enabled research and regulated evidence workflows.

Upgrade Jordan's existing ArcGIS Enterprise National Water Master Plan platform into a dynamic decision-support hub that integrates water-sector data, models supply-demand scenarios, visualises current and future resources, trains government staff and transfers the finished system.

Strong technical overlap with Mimir's geospatial decision intelligence, data integration, dashboards and climate planning, but the evidence pack does not establish the required three EUR 50,000 water-application references, MENA reference, three-person expert team, three-year headcount or ISO-aligned ISMS.

Fixed-price two-month engagement to initialise and harden Fraunhofer-provided AI server/GPU hardware, deploy mandatory Ollama and OpenWebUI components for local multi-user LLM operation, and build an open-source RAG assistant covering building-renovation authority information in Sachsen-Anhalt.

The RAG assistant, open-source public-administration architecture, security, observability and integration scope are strongly adjacent to demonstrated competencies. Eligibility remains unresolved because a qualifying recent reference, headcount, 2023 turnover, liability cover and bid-specific declarations are not evidenced; the fixed start and four-day bid window create high execution risk.

Build, integrate, pilot, validate and hand over an open-source AI/GIS decision-support tool that ranks vulnerable rural geographies and recommends permissible resilience works under India's VB-G RAM G programme.

Strong core competency fit across Mimir-style geospatial decision intelligence, evidence workflows, APIs, open-source delivery and secure cloud; formal qualification and India delivery evidence are unresolved.

Develop, trial and publish security test catalogues and best practices for LLM-based agentic AI, including OSCAL output and two trials on real systems.

Strong thematic fit through Perspectify and Forseti patterns; external references, technical equipment, named team and real-system stakeholder evidence are incomplete.

Digitise Berlin infrastructure files into nscale/eAkte: collection, preparation, 300-dpi scanning, German OCR, PDF/A-2u, metadata, CAD reconstruction, return and optional certified destruction.

Partial technical fit for OCR and document pipelines; material delivery and qualification gaps for physical operations, self-performed references, CAD/BIM reconstruction, RESISCAN handling and destruction.

Provide, implement and support a mature central platform for 3D representations of BEW energy plants, including point clouds, POIs, OCR, measurements, plant-system integrations, security controls and optional on-premises or SaaS deployment.

OCR-in-point-cloud, GIS/georeferencing, APIs, data workflows, Azure deployment and secure integration align with demonstrated competencies. The procurement nevertheless requires an existing industrial 3D product, two highly specific plant references, ISO 27001 certification, a 15-FTE organisation and financial scale that the company evidence does not meet or prove.

Operate, stabilise and extend KENFO's Microsoft Fabric and Power BI platform, including loads, controls, data quality, performance and alternative-investment daily slices.

Good data-engineering, quality and platform-operations fit, with hard reference and named-team evidence still missing.

Single-supplier, 48-month EVB-IT framework for a centrally governed generative-AI SaaS platform: initially 500 Landkreis users, scalable to 2,500 users across separately isolated municipal tenants, with multi-model orchestration, cited RAG, document processing, multilingual translation/transcription, Office generation, strict EWR/Switzerland processing, ZDR, C5, 99.5% availability and a submitted self-assessment PoC.

The functional scope is unusually close to Digital David's demonstrated AI, RAG, document, multilingual, governance and integration competencies. Qualification and product-readiness gaps dominate: no approved evidence of two qualifying public-sector platform references, no complete incumbent product matching all 55 mandatory criteria, and no evidence for the DPO, C5/audit-plan, SLA, data-residency, ZDR and sustainability gates.

Build and operate a bilingual campus mobility web platform with maps, multimodal comparison, booking, payment, smart-lock and charging integrations, administration and research analytics.

Strong GIS, web-platform, integration and data fit; the hard two-project mobility reference gate and named delivery team are not evidenced.

Three-year SaaS contract for 20 plus five optional power users, replacing the legal department's winra system, migrating about 6,000 files by 2026-12-31 and providing full contract lifecycle, e-file, records, low-code workflow, e-signature, cited RAG/AI contract analysis, EU/EEA hosting, security, maintenance and German support.

Strong competency adjacency in legal case/document workflows, metadata, audit trails, cited RAG, extraction, integration and migration. Prime fit is weak because the tender is structured for a ready product and formal references, insurance, ISMS/internal-control evidence, C5 compliance, EU/EEA data-centre proof and complete functional conformity are not established in the qualification pack.

Supply, configure and operate a mature DMS as SaaS for 120 named internal users and up to 600 temporary external collaborators, including support, maintenance, training, project support and transition.

Document workflows, controlled processing, secure SaaS and Microsoft integrations align with demonstrated delivery capabilities. The procurement is nevertheless a product-and-operation contract with hard DMS-specific commercial, reference and security gates that the current company evidence does not substantiate.

Supply cloud clinical speech recognition with medical accuracy and clinical-system integrations.

Relevant speech and life-sciences capability without a certified clinical product.

Four-year multi-customer framework for a vendor-operated, multi-tenant AI assistant that ingests social-benefit applications and documents, supports completeness and plausibility checks, extracts evidence, assists caseworkers with cited legal information, integrates with DMS and specialist procedures, and supplies rollout, training, maintenance and support.

Strong technical adjacency in document ingestion, OCR, structured extraction, case workflows, evidence traceability, human review, secure cloud integration and public-sector AI. Prime eligibility is currently unproven because formal references, insurance, SÜG-cleared personnel and the AI Act classification statement are absent from the company evidence pack.

Design and implement a Microsoft 365 target platform for roughly 100 users.

Relevant Microsoft and identity competency without a product proposition.

Operate, monitor, maintain, patch and selectively extend Bundesdruckerei's CloudPDF application for digitally sealed Abitur certificates, support state field tests and EUDI-wallet integration, and archive the other Mein Bildungsraum components on buyer-provided StackIT infrastructure.

Strong technical overlap with secure PDF/document workflows, TypeScript/Java integration, IAM, CI/CD, observability and regulated public-sector delivery, but the required StackIT, eIDAS seal, XSchule/education, DARP-funded reference, five-FTE team and high-liability insurance evidence are absent from the qualification pack.