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 | 7 | 105 | 48% | 5 | 65 | 78% | 66 | Action |
| National Accelerator | 1 | 21 | 71% | 8 | 3 | 83% | 13 | Monitor |
| Regional Pre-Accelerators | 5 | 59 | 54% | 9 | 29 | 77% | 35 | Action |
| Specialist Accelerators | 6 | 51 | 59% | 10 | 18 | 78% | 35 | Action |
| Stream 4 / Investor Readiness | 3 | 15 | 69% | 5 | 2 | 83% | 11 | Monitor |
| National Youth Digital Accelerator | 4 | 38 | 50% | 8 | 22 | 76% | 22 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| ESA BIC Prague | Specialist | 8 | 0 | 65% | 57% | 92% | Pilot | 2 | Clear |
| CERN Venture Connect | Specialist | 5 | 1 | 67% | 62% | 87% | Pilot | 1 | Clear |
| Czech HealthTech Track (Brno) | Specialist | 5 | 2 | 42% | 52% | 68% | Active | 1 | Review |
| ENERN Climate Track | Specialist | 7 | 1 | 49% | 44% | 64% | Pilot | 0 | Review |
| Prague.AI Centre | Specialist | 7 | 0 | 65% | 56% | 76% | Limited | 0 | Clear |
| IT4Innovations Ostrava | Specialist | 7 | 0 | 64% | 51% | 66% | Limited | 2 | Clear |
| InQbay — ČVUT (CTU Prague) | University Accelerators | 16 | 0 | 42% | 47% | 63% | Pilot | 0 | Review |
| xPORT VŠE | University Accelerators | 14 | 2 | 52% | 48% | 77% | Limited | 0 | Review |
| JIC STARCUBE (Brno) | University Accelerators | 13 | 1 | 52% | 50% | 72% | Limited | 0 | Review |
| BIC — VUT Brno | University Accelerators | 11 | 0 | 55% | 54% | 89% | Limited | 0 | Clear |
| Masaryk University Incubator | University Accelerators | 8 | 3 | 44% | 40% | 94% | Limited | 0 | Review |
| Point One — ČZU Prague | University Accelerators | 10 | 0 | 49% | 48% | 82% | Pilot | 0 | Review |
| Palacký University Incubator | University Accelerators | 10 | 1 | 43% | 52% | 87% | Pilot | 0 | Review |
| SIC — Central Bohemian Innovation Centre | National Pre-Accelerator | 10 | 1 | 55% | 50% | 69% | Limited | 0 | Clear |
| ICUK — Innovation Centre Ústí Region | National Pre-Accelerator | 10 | 1 | 41% | 43% | 69% | Active | 0 | Review |
| TIC — Technology Innovation Centre Zlín | National Pre-Accelerator | 10 | 1 | 63% | 57% | 63% | Active | 1 | Clear |
| JVTP — South Bohemian Science & Technology Park | National Pre-Accelerator | 10 | 2 | 53% | 50% | 80% | Pilot | 0 | Review |
| Lipo.ink Innovation Hub Liberec | National Pre-Accelerator | 9 | 1 | 59% | 47% | 89% | Pilot | 1 | Clear |
| Digitální mládežnický akcelerátor · Praha | National Digital Youth Accelerator | 7 | 0 | 51% | 45% | 79% | Active | 0 | Review |
| Digitální mládežnický akcelerátor · Brno | National Digital Youth Accelerator | 9 | 0 | 50% | 51% | 92% | Limited | 0 | Review |
| Digitální mládežnický akcelerátor · Ostrava | National Digital Youth Accelerator | 6 | 1 | 55% | 54% | 67% | Limited | 0 | Clear |
| Digitální mládežnický akcelerátor · Plzeň | National Digital Youth Accelerator | 9 | 0 | 45% | 47% | 61% | Pilot | 0 | Review |
| Investor Readiness Praha | Investor Readiness | 3 | 1 | 72% | 56% | 75% | Pilot | 1 | Clear |
| Czech Business Angels Network | Investor Readiness | 5 | 0 | 66% | 48% | 69% | Active | 1 | Clear |
| DEPO Ventures Lab | Investor Readiness | 4 | 0 | 69% | 60% | 81% | Limited | 0 | Clear |
| CzechInvest Technology Incubation | National Accelerator | 15 | 3 | 71% | 62% | 68% | Pilot | 7 | 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 |
|---|---|---|---|---|---|---|---|
| Tatra Software | Tereza Pokorná | CERN Venture Connect | Business model review | 96 | 74% | Pass | Tatra Software shows strong customer validation and credible market opportunity. Problem clarity and financial assumptions remain the primary gaps before progression review. |
| Šumava Energo | Adéla Procházková | xPORT VŠE | Problem-solution fit review | 95 | 75% | Pass | Šumava Energo shows strong problem clarity and credible solution fit. Customer validation and founder capability remain the primary gaps before progression review. |
| Mendel Energo | Filip Svoboda | CzechInvest Technology Incubation | Funding readiness review | 94 | 88% | Progression review | Mendel Energo shows strong customer validation and credible solution fit. Market opportunity and problem clarity remain the primary gaps before progression review. |
| Křišťál Software | Jiří Kratochvíl | CERN Venture Connect | Business model review | 92 | 70% | Pass | Křišťál Software shows strong business model strength and credible funding readiness. Customer validation and financial assumptions remain the primary gaps before progression review. |
| Vega Robotics | Vojtěch Růžička | IT4Innovations Ostrava | Funding readiness review | 92 | 66% | Seed candidate | Vega Robotics shows strong founder capability and credible business model strength. Funding readiness and solution fit remain the primary gaps before progression review. |
| Labe OS | Petra Novotná | Digitální mládežnický akcelerátor · Ostrava | Business model review | 92 | 93% | Pass | Labe OS shows strong market opportunity and credible business model strength. Funding readiness and financial assumptions remain the primary gaps before progression review. |
| Berounka Robotics | David Horák | Investor Readiness Praha | Final progression review | 92 | 85% | Progression review | Berounka Robotics shows strong market opportunity and credible solution fit. Founder capability and product readiness remain the primary gaps before progression review. |
| Zlatý OS | Michal Kovář | Digitální mládežnický akcelerátor · Plzeň | Problem-solution fit review | 91 | 83% | Pass | Zlatý OS shows strong problem clarity and credible market opportunity. Founder capability and funding readiness remain the primary gaps before progression review. |
| Křišťál Labs | Vojtěch Černý | Investor Readiness Praha | Funding readiness review | 91 | 74% | Pass | Křišťál Labs shows strong business model strength and credible funding readiness. Impact potential and problem clarity remain the primary gaps before progression review. |
| Morava Tech | Filip Dvořák | BIC — VUT Brno | Intake readiness review | 90 | 89% | Pass | Morava Tech shows strong problem clarity and credible founder capability. Impact potential and business model strength remain the primary gaps before progression review. |
| Lumen Health | Filip Růžička | CzechInvest Technology Incubation | Funding readiness review | 89 | 85% | Progression review | Lumen Health shows strong customer validation and credible funding readiness. Problem clarity and business model strength remain the primary gaps before progression review. |
| Nimbus Data | Vojtěch Černý | Digitální mládežnický akcelerátor · Brno | Business model review | 88 | 70% | Pass | Nimbus Data shows strong solution fit and credible funding readiness. Problem clarity and product readiness 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 | Kometa Data | Intake evaluation | Martin Černý | ESA BIC Prague | 65 | Specialist support | Yes | Override pending | AI summary cross-checked by panel chair. |
| 2026-03-28 | Sázava Software | Readiness assessment | Lucie Procházková | ESA BIC Prague | 44 | Re-route | No | — | Manual review only. |
| 2026-03-19 | Vltava Logic | Mid-programme review | Tomáš Dvořák | ESA BIC Prague | 73 | Seed candidate | No | — | Manual review only. |
| 2026-04-15 | Ostrava Health | Mentor evaluation | Eliška Novotná | ESA BIC Prague | 79 | Pass | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-03 | Avion Sense | Funding readiness evaluation | Jakub Novák | ESA BIC Prague | 61 | Needs support | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-28 | Stříbro Data | Seed readiness review | Tereza Svobodová | ESA BIC Prague | 85 | Specialist support | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-21 | Tatra Energo | Investor readiness assessment | Ondřej Veselý | ESA BIC Prague | 60 | Needs support | Yes | — | AI summary cross-checked by panel chair. |
| 2026-03-09 | Morava Robotics | Final progression panel | Karolína Horáková | ESA BIC Prague | 71 | Seed candidate | Yes | Override pending | AI summary cross-checked by panel chair. |
| 2026-03-14 | Tatra Software | Post-programme outcome review | Martin Černý | CERN Venture Connect | 96 | Pass | Yes | — | AI summary cross-checked by panel chair. |
| 2026-03-20 | Jantar Robotics | Intake evaluation | Martin Černý | CERN Venture Connect | 40 | Re-route | Yes | — | AI summary cross-checked by panel chair. |
Bertie allows CzechInvest to see, compare and govern evaluations across the national accelerator ecosystem — turning programme judgement into structured, auditable and actionable intelligence.
