Evaluations & Stage Gates
A live view of every evaluation, stage gate decision and progression recommendation across the national accelerator ecosystem.
Evaluation types across programmes
9 evaluation moments mapped across the national pathway
Intake evaluation
Readiness assessment
Mid-programme review
Mentor evaluation
Funding readiness evaluation
Seed readiness review
Investor readiness assessment
Final progression panel
Post-programme outcome review
Programme / stream evaluation roll-up
How each national stream is performing in evaluations
| Programme / Stream | DPs | Evaluated | Avg score | Progression | At-risk | Consistency | AI summaries | Status |
|---|---|---|---|---|---|---|---|---|
| University Accelerators | 11 | 167 | 51% | 13 | 95 | 77% | 102 | Action |
| National Accelerator | 3 | 63 | 66% | 29 | 17 | 79% | 39 | Monitor |
| Regional Pre-Accelerators | 9 | 94 | 54% | 17 | 47 | 77% | 55 | Action |
| Specialist Accelerators | 9 | 75 | 60% | 15 | 26 | 78% | 52 | Monitor |
| Stream 4 / Investor Readiness | 7 | 38 | 66% | 13 | 10 | 79% | 25 | Monitor |
| National Youth Digital Accelerator | 7 | 65 | 55% | 3 | 31 | 77% | 37 | Action |
| University Spin-Out Programme | 3 | 22 | 74% | 6 | 2 | 82% | 12 | On track |
Delivery partner evaluation comparison
Consistency, completeness and AI participation by DP
| Delivery partner | Stream | Completed | Overdue | Avg score | Evidence | Evaluator part. | AI review | Progression | Governance |
|---|---|---|---|---|---|---|---|---|---|
| Portugal Blue Digital Hub | Specialist | 9 | 0 | 70% | 59% | 92% | Pilot | 2 | Clear |
| AI4PA Portugal EDIH | Specialist | 5 | 1 | 64% | 62% | 87% | Pilot | 1 | Clear |
| C-HUB Cybersecurity DIH | Specialist | 4 | 2 | 40% | 53% | 68% | Active | 0 | Review |
| PRODUTECH Digital Innovation Hub | Specialist | 7 | 1 | 49% | 44% | 64% | Pilot | 0 | Review |
| BGI - Building Global Innovators | Specialist | 7 | 0 | 65% | 56% | 76% | Limited | 0 | Clear |
| BlueBio Alliance / Blue Bio Value | Specialist | 7 | 0 | 64% | 51% | 66% | Limited | 2 | Clear |
| ESA Space Solutions Portugal | Specialist | 7 | 0 | 61% | 58% | 90% | Active | 1 | Clear |
| HealthTech Lisboa Track | Specialist | 8 | 0 | 58% | 54% | 71% | Limited | 1 | Clear |
| Algarve Tech Hub Digital Track | Specialist | 5 | 2 | 71% | 58% | 67% | Pilot | 2 | Review |
| Startup Lisboa | University Accelerators | 18 | 0 | 56% | 50% | 63% | Pilot | 0 | Clear |
| UPTEC - Science and Technology Park of University of Porto | University Accelerators | 13 | 3 | 48% | 44% | 77% | Limited | 0 | Review |
| IPN Incubadora - Instituto Pedro Nunes | University Accelerators | 14 | 1 | 48% | 49% | 72% | Limited | 0 | Review |
| Startup Braga | University Accelerators | 12 | 2 | 48% | 50% | 89% | Limited | 0 | Review |
| Startup Leiria | University Accelerators | 14 | 0 | 52% | 45% | 94% | Limited | 0 | Review |
| Tagusvalley - Tecnopolo do Vale do Tejo | University Accelerators | 10 | 3 | 40% | 52% | 82% | Pilot | 0 | Review |
| Madan Parque | University Accelerators | 12 | 1 | 56% | 50% | 87% | Pilot | 0 | Clear |
| Sines Tecnopolo - BIC Alentejo | University Accelerators | 11 | 1 | 45% | 47% | 61% | Pilot | 0 | Review |
| Algarve Tech Hub | University Accelerators | 9 | 0 | 53% | 60% | 64% | Pilot | 0 | Review |
| Incubator Go-On / NONAGON | University Accelerators | 10 | 0 | 46% | 49% | 92% | Active | 0 | Review |
| Startup Madeira | University Accelerators | 9 | 1 | 70% | 62% | 88% | Pilot | 0 | Clear |
| Fábrica de Startups | National Pre-Accelerator | 9 | 1 | 60% | 59% | 69% | Limited | 1 | Clear |
| Beta-i - Lisbon Challenge | National Pre-Accelerator | 10 | 1 | 61% | 59% | 69% | Active | 1 | Clear |
| UPTEC School of Startups | National Pre-Accelerator | 8 | 1 | 43% | 49% | 63% | Active | 0 | Review |
| Tec Labs - Universidade de Lisboa | National Pre-Accelerator | 7 | 1 | 58% | 56% | 80% | Pilot | 1 | Clear |
| DNA Cascais | National Pre-Accelerator | 9 | 1 | 53% | 55% | 89% | Pilot | 1 | Review |
| Madan Parque Pre-Incubation | National Pre-Accelerator | 7 | 0 | 53% | 48% | 90% | Active | 2 | Review |
| Sines Tecnopolo Pre-Incubation | National Pre-Accelerator | 7 | 1 | 64% | 52% | 91% | Limited | 1 | Clear |
| Algarve Evolution Founder Track | National Pre-Accelerator | 8 | 1 | 46% | 47% | 83% | Active | 0 | Review |
| Go-On Incubator Pre-Acceleration | National Pre-Accelerator | 8 | 0 | 44% | 52% | 78% | Active | 1 | Review |
| Junior Achievement Portugal | National Digital Youth Accelerator | 7 | 2 | 58% | 56% | 79% | Active | 0 | Review |
| Acredita Portugal | National Digital Youth Accelerator | 6 | 1 | 52% | 57% | 92% | Limited | 0 | Review |
| UPTEC School of Startups Youth Track | National Digital Youth Accelerator | 6 | 2 | 50% | 49% | 67% | Limited | 0 | Review |
| Startup Braga Academy | National Digital Youth Accelerator | 7 | 0 | 56% | 52% | 61% | Pilot | 0 | Clear |
| Demola Portugal | National Digital Youth Accelerator | 6 | 1 | 59% | 47% | 62% | Pilot | 0 | Clear |
| Algarve Evolution Talent Track | National Digital Youth Accelerator | 6 | 1 | 43% | 34% | 76% | Limited | 0 | Review |
| Startup Madeira Youth Innovation Track | National Digital Youth Accelerator | 8 | 0 | 67% | 53% | 73% | Active | 0 | Clear |
| Portugal Ventures Investor Readiness | Investor Readiness | 4 | 1 | 68% | 55% | 75% | Pilot | 2 | Clear |
| Indico Capital Partners Readiness Track | Investor Readiness | 6 | 0 | 67% | 50% | 69% | Active | 1 | Clear |
| Shilling VC Founder Track | Investor Readiness | 5 | 0 | 65% | 59% | 81% | Limited | 2 | Clear |
| Faber Deep Tech Readiness | Investor Readiness | 4 | 0 | 62% | 45% | 84% | Active | 2 | Clear |
| APBA Business Angels Readiness Lab | Investor Readiness | 3 | 1 | 76% | 62% | 90% | Active | 2 | Clear |
| COREangels Lisbon Readiness Lab | Investor Readiness | 4 | 0 | 56% | 55% | 91% | Active | 0 | Clear |
| Invicta Angels North Readiness | Investor Readiness | 4 | 1 | 69% | 62% | 61% | Active | 2 | Clear |
| Startup Portugal - Road 2 Web Summit | National Accelerator | 18 | 2 | 64% | 59% | 68% | Pilot | 6 | Review |
| Unicorn Factory Lisboa | National Accelerator | 15 | 3 | 68% | 59% | 90% | Active | 8 | Review |
| Portugal Ventures - National Calls | National Accelerator | 13 | 3 | 66% | 53% | 93% | Active | 8 | Review |
Venture progression candidates
High-scoring ventures recommended for next-stage review
| Venture | Founder | Delivery partner | Stage gate | Score | Evidence | Recommended next step | AI summary |
|---|---|---|---|---|---|---|---|
| Lisboa Cloud | Gonçalo Gonçalves | Sines Tecnopolo Pre-Incubation | Funding readiness review | 98 | 55% | Seed candidate | Lisboa Cloud shows strong problem clarity and credible customer validation. Impact potential and market opportunity remain the primary gaps before progression review. |
| Açor Works | Bernardo Rodrigues | COREangels Lisbon Readiness Lab | Funding readiness review | 98 | 71% | Pass | Açor Works shows strong problem clarity and credible market opportunity. Impact potential and customer validation remain the primary gaps before progression review. |
| Guadiana Software | Ana Gomes | AI4PA Portugal EDIH | Business model review | 96 | 74% | Pass | Guadiana Software shows strong customer validation and credible market opportunity. Problem clarity and financial assumptions remain the primary gaps before progression review. |
| Sol Cloud | Pedro Martins | IPN Incubadora - Instituto Pedro Nunes | Problem-solution fit review | 96 | 92% | Pass | Sol Cloud shows strong customer validation and credible solution fit. Market opportunity and founder capability remain the primary gaps before progression review. |
| Faro Systems | Duarte Sousa | Algarve Tech Hub | Problem-solution fit review | 96 | 94% | Pass | Faro Systems shows strong problem clarity and credible customer validation. Product readiness and funding readiness remain the primary gaps before progression review. |
| Sol Tech | Francisco Silva | Invicta Angels North Readiness | Funding readiness review | 95 | 90% | Progression review | Sol Tech shows strong problem clarity and credible customer validation. Market opportunity and founder capability remain the primary gaps before progression review. |
| Fábrica Data | Mariana Ferreira | Unicorn Factory Lisboa | Funding readiness review | 94 | 78% | Progression review | Fábrica Data shows strong customer validation and credible founder capability. Financial assumptions and impact potential remain the primary gaps before progression review. |
| Braga Digital | Rita Sousa | Madan Parque | Business model review | 93 | 87% | Pass | Braga Digital shows strong customer validation and credible solution fit. Impact potential and funding readiness remain the primary gaps before progression review. |
| Aveiro Systems | Rafael Gonçalves | AI4PA Portugal EDIH | Business model review | 92 | 70% | Pass | Aveiro Systems shows strong business model strength and credible funding readiness. Customer validation and financial assumptions remain the primary gaps before progression review. |
| Lumen Sense | Martim Gomes | BlueBio Alliance / Blue Bio Value | Funding readiness review | 92 | 66% | Seed candidate | Lumen Sense shows strong founder capability and credible business model strength. Funding readiness and solution fit remain the primary gaps before progression review. |
| Nexo Robotics | Francisco Fernandes | Fábrica de Startups | Business model review | 92 | 75% | Pass | Nexo Robotics shows strong business model strength and credible funding readiness. Financial assumptions and product readiness remain the primary gaps before progression review. |
| Minho Nano | Pedro Costa | Indico Capital Partners Readiness Track | Funding readiness review | 92 | 48% | Seed candidate | Minho Nano shows strong customer validation and credible solution fit. Product readiness and problem clarity remain the primary gaps before progression review. |
National Evaluation Intelligence
Across current evaluations, customer validation evidence is the strongest predictor of progression readiness. Financial assumptions remain the most common weakness across Regional Pre-Accelerator ventures. HealthTech ventures show strong technical scores but weaker regulatory evidence.
Evaluation governance & audit trail
Auditable record of every evaluation decision
| Date | Venture | Evaluation type | Evaluator | Delivery partner | Score | Decision | AI summary | Override / appeal | Audit note |
|---|---|---|---|---|---|---|---|---|---|
| 2026-03-07 | Azul Data | Intake evaluation | Tiago Oliveira | Portugal Blue Digital Hub | 65 | Specialist support | Yes | Override pending | AI summary cross-checked by panel chair. |
| 2026-03-28 | Douro Systems | Readiness assessment | Inês Costa | Portugal Blue Digital Hub | 44 | Re-route | No | — | Manual review only. |
| 2026-03-19 | Tejo Grid | Mid-programme review | Miguel Ferreira | Portugal Blue Digital Hub | 73 | Seed candidate | No | — | Manual review only. |
| 2026-04-15 | Coimbra Pay | Mentor evaluation | Ana Pereira | Portugal Blue Digital Hub | 79 | Pass | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-03 | Verde Energy | Funding readiness evaluation | João Silva | Portugal Blue Digital Hub | 61 | Needs support | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-28 | Cortiça Robotics | Seed readiness review | Maria Santos | Portugal Blue Digital Hub | 85 | Specialist support | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-21 | Guadiana Logic | Investor readiness assessment | Francisco Rodrigues | Portugal Blue Digital Hub | 60 | Needs support | Yes | — | AI summary cross-checked by panel chair. |
| 2026-03-09 | Sado Sense | Final progression panel | Sofia Martins | Portugal Blue Digital Hub | 71 | Seed candidate | Yes | Override pending | AI summary cross-checked by panel chair. |
| 2026-03-14 | Guadiana Software | Post-programme outcome review | Tiago Oliveira | AI4PA Portugal EDIH | 96 | Pass | Yes | — | AI summary cross-checked by panel chair. |
| 2026-03-20 | Vinha Sense | Intake evaluation | Tiago Oliveira | AI4PA Portugal EDIH | 40 | Re-route | Yes | — | AI summary cross-checked by panel chair. |
Bertie allows Startup Portugal to see, compare and govern evaluations across the national accelerator ecosystem — turning programme judgement into structured, auditable and actionable intelligence.
