National Layer
Evaluations & Stage Gates
A live view of every evaluation, stage gate decision and progression recommendation across the national accelerator ecosystem.
Evaluations completed
0
rolling 12 months
Evaluations in progress
0
across all DPs
Ventures evaluated this month
0
Average evaluation score
0%
Recommended for progression
0
Flagged for support
0
DPs with overdue evaluations
0
AI-assisted summaries
0
Bertie generated
Evaluation types across programmes
9 evaluation moments mapped across the national pathway
Intake evaluation
76%
Completed486Pending22
Programmes: All streams
Impact: Stream allocation
Readiness assessment
71%
Completed132Pending18
Programmes: NF, Pre-Accelerator
Impact: Mentor pairing
Mid-programme review
68%
Completed74Pending14
Programmes: All streams
Impact: Cohort intervention
Mentor evaluation
74%
Completed58Pending9
Programmes: All streams
Impact: Mentor reassignment
Funding readiness evaluation
65%
Completed91Pending12
Programmes: National Accelerator, Investor Readiness
Impact: Seed route
Seed readiness review
78%
Completed42Pending6
Programmes: Investor Readiness, National Accelerator
Impact: State support clearance
Investor readiness assessment
70%
Completed36Pending8
Programmes: Investor Readiness
Impact: Growth pipeline
Final progression panel
72%
Completed28Pending5
Programmes: National Accelerator, Specialist
Impact: Programme completion
Post-programme outcome review
80%
Completed21Pending3
Programmes: Alumni
Impact: Outcome reporting
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 | 49% | 7 | 61 | 77% | 68 | Action |
| National Accelerator | 1 | 21 | 62% | 6 | 6 | 82% | 15 | Monitor |
| Regional Pre-Accelerators | 5 | 59 | 49% | 8 | 37 | 77% | 39 | Action |
| Specialist Accelerators | 6 | 51 | 54% | 8 | 28 | 78% | 23 | Action |
| Stream 4 / Investor Readiness | 3 | 15 | 69% | 8 | 2 | 82% | 13 | Monitor |
| National Youth Digital Accelerator | 4 | 38 | 61% | 8 | 17 | 77% | 24 | Monitor |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| InQbay — ČVUT (CTU Prague) | University Accelerators | 16 | 1 | 48% | 47% | 63% | Pilot | 0 | Review |
| xPORT VŠE | University Accelerators | 9 | 2 | 52% | 49% | 77% | Limited | 0 | Review |
| JIC STARCUBE (Brno) | University Accelerators | 13 | 2 | 47% | 55% | 72% | Limited | 0 | Review |
| BIC — VUT Brno | University Accelerators | 13 | 0 | 46% | 52% | 89% | Limited | 0 | Review |
| Masaryk University Incubator | University Accelerators | 10 | 1 | 47% | 45% | 94% | Limited | 0 | Review |
| Point One — ČZU Prague | University Accelerators | 11 | 0 | 49% | 43% | 82% | Pilot | 0 | Review |
| Palacký University Incubator | University Accelerators | 10 | 2 | 59% | 61% | 87% | Pilot | 0 | Review |
| CzechInvest Technology Incubation | National Accelerator | 17 | 0 | 62% | 59% | 68% | Pilot | 3 | Clear |
| SIC — Central Bohemian Innovation Centre | National Pre-Accelerator | 8 | 2 | 47% | 52% | 69% | Limited | 1 | Review |
| ICUK — Innovation Centre Ústí Region | National Pre-Accelerator | 10 | 1 | 45% | 62% | 69% | Active | 2 | Review |
| TIC — Technology Innovation Centre Zlín | National Pre-Accelerator | 10 | 1 | 52% | 54% | 63% | Active | 0 | Review |
| JVTP — South Bohemian Science & Technology Park | National Pre-Accelerator | 10 | 1 | 49% | 41% | 80% | Pilot | 0 | Review |
| Lipo.ink Innovation Hub Liberec | National Pre-Accelerator | 9 | 1 | 55% | 53% | 89% | Pilot | 0 | Clear |
| ESA BIC Prague | Specialist | 6 | 1 | 61% | 47% | 92% | Pilot | 0 | Clear |
| CERN Venture Connect | Specialist | 8 | 1 | 55% | 45% | 87% | Pilot | 0 | Clear |
| Czech HealthTech Track (Brno) | Specialist | 8 | 1 | 50% | 46% | 68% | Active | 2 | Review |
| ENERN Climate Track | Specialist | 7 | 0 | 44% | 55% | 64% | Pilot | 1 | Review |
| Prague.AI Centre | Specialist | 5 | 0 | 54% | 51% | 76% | Limited | 2 | Review |
| IT4Innovations Ostrava | Specialist | 7 | 0 | 58% | 54% | 66% | Limited | 1 | Clear |
| Investor Readiness Praha | Investor Readiness | 5 | 0 | 60% | 54% | 75% | Pilot | 1 | Clear |
| Czech Business Angels Network | Investor Readiness | 3 | 1 | 76% | 53% | 69% | Active | 3 | Clear |
| DEPO Ventures Lab | Investor Readiness | 3 | 0 | 72% | 57% | 81% | Limited | 2 | Clear |
| Digitální mládežnický akcelerátor · Praha | National Digital Youth Accelerator | 8 | 1 | 55% | 53% | 79% | Active | 0 | Clear |
| Digitální mládežnický akcelerátor · Brno | National Digital Youth Accelerator | 10 | 0 | 54% | 47% | 92% | Limited | 0 | Review |
| Digitální mládežnický akcelerátor · Ostrava | National Digital Youth Accelerator | 7 | 1 | 64% | 53% | 67% | Limited | 0 | Clear |
| Digitální mládežnický akcelerátor · Plzeň | National Digital Youth Accelerator | 5 | 2 | 73% | 60% | 61% | Pilot | 0 | 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 |
|---|---|---|---|---|---|---|---|
| Mendel OS | Matyáš Pospíšil | Palacký University Incubator | Business model review | 95 | 92% | Pass | Mendel OS shows strong customer validation and credible founder capability. Solution fit and funding readiness remain the primary gaps before progression review. |
| Říp Works | Lukáš Horák | JIC STARCUBE (Brno) | Problem-solution fit review | 94 | 71% | Pass | Říp Works shows strong problem clarity and credible customer validation. Financial assumptions and impact potential remain the primary gaps before progression review. |
| Jantar Systémy | Adéla Procházková | Palacký University Incubator | Problem-solution fit review | 94 | 95% | Pass | Jantar Systémy shows strong problem clarity and credible business model strength. Customer validation and founder capability remain the primary gaps before progression review. |
| Janus Works | David Růžička | Prague.AI Centre | Funding readiness review | 94 | 57% | Seed candidate | Janus Works shows strong customer validation and credible market opportunity. Solution fit and founder capability remain the primary gaps before progression review. |
| Berounka Mobilita | Zuzana Růžičková | Digitální mládežnický akcelerátor · Praha | Problem-solution fit review | 94 | 78% | Pass | Berounka Mobilita shows strong problem clarity and credible market opportunity. Founder capability and funding readiness remain the primary gaps before progression review. |
| Lumen Pay | Eliška Novotná | TIC — Technology Innovation Centre Zlín | Problem-solution fit review | 92 | 88% | Pass | Lumen Pay shows strong customer validation and credible founder capability. Impact potential and problem clarity 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. |
| Tatra Pay | Anna Růžičková | DEPO Ventures Lab | Final progression review | 90 | 82% | Progression review | Tatra Pay shows strong business model strength and credible funding readiness. Product readiness and market opportunity remain the primary gaps before progression review. |
| Bohemia AI | Karolína Veselá | Digitální mládežnický akcelerátor · Plzeň | Problem-solution fit review | 90 | 72% | Pass | Bohemia AI shows strong customer validation and credible solution fit. Product readiness and funding readiness remain the primary gaps before progression review. |
| Avion Robotics | Barbora Svobodová | ICUK — Innovation Centre Ústí Region | Business model review | 89 | 75% | Pass | Avion Robotics shows strong market opportunity and credible business model strength. Founder capability and customer validation remain the primary gaps before progression review. |
| Kometa Nano | Jiří Růžička | Palacký University Incubator | Business model review | 88 | 75% | Pass | Kometa Nano shows strong founder capability and credible impact potential. Market opportunity and business model strength remain the primary gaps before progression review. |
| Nimbus Data | Petra Novotná | Czech Business Angels Network | Funding readiness review | 88 | 44% | Seed candidate | Nimbus Data shows strong market opportunity and credible business model strength. Funding readiness and financial assumptions remain the primary gaps before progression review. |
Bertie AI Evaluation Insights
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.
Strengthen financial model templateAdd regulatory evidence checklistReview scoring consistency in PA DP3Progress 18 high-scoring ventures to funding-readiness review
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 | InQbay — ČVUT (CTU Prague) | 64 | Needs support | Yes | Override pending | AI summary cross-checked by panel chair. |
| 2026-03-28 | Sázava Software | Readiness assessment | Lucie Procházková | InQbay — ČVUT (CTU Prague) | 43 | Re-route | No | — | Manual review only. |
| 2026-03-19 | Vltava Logic | Mid-programme review | Tomáš Dvořák | InQbay — ČVUT (CTU Prague) | 72 | Specialist support | No | — | Manual review only. |
| 2026-04-15 | Ostrava Health | Mentor evaluation | Eliška Novotná | InQbay — ČVUT (CTU Prague) | 78 | Pass | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-03 | Avion Sense | Funding readiness evaluation | Jakub Novák | InQbay — ČVUT (CTU Prague) | 22 | Re-route | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-28 | Berounka Nano | Seed readiness review | Tereza Svobodová | InQbay — ČVUT (CTU Prague) | 70 | Specialist support | Yes | — | AI summary cross-checked by panel chair. |
| 2026-04-21 | Slovan Systémy | Investor readiness assessment | Ondřej Veselý | InQbay — ČVUT (CTU Prague) | 28 | Re-route | Yes | — | AI summary cross-checked by panel chair. |
| 2026-03-09 | Karlov Grid | Final progression panel | Karolína Horáková | InQbay — ČVUT (CTU Prague) | 31 | Re-route | Yes | Override pending | AI summary cross-checked by panel chair. |
| 2026-03-14 | Vega Grid | Post-programme outcome review | Martin Černý | InQbay — ČVUT (CTU Prague) | 90 | Specialist support | Yes | — | AI summary cross-checked by panel chair. |
| 2026-03-20 | Vltava Systémy | Intake evaluation | Martin Černý | InQbay — ČVUT (CTU Prague) | 22 | 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.
