Investor Readiness
Investor Readiness Stream · 3 delivery partners
Live across the stream
Programme Evaluations
Oversee evaluations and stage gates across all delivery partners in this stream.
Evaluation stage gates
Seven stage-gate moments across the programme
Intake readiness review
Problem-solution fit review
Customer validation review
Business model review
MVP / product planning review
Funding readiness review
Final progression review
Delivery partner evaluation status
Comparing the 3 delivery partners in this stream
| Delivery partner | Completed | Pending | Overdue | Avg score | Progression | Evidence | Status |
|---|---|---|---|---|---|---|---|
| Investor Readiness Praha | 5 | 0 | 0 | 60% | 1 | 54% | On track |
| Czech Business Angels Network | 3 | 1 | 1 | 76% | 3 | 53% | On track |
| DEPO Ventures Lab | 3 | 2 | 0 | 72% | 2 | 57% | On track |
Venture evaluations
Every venture in the stream, with score, evidence and recommendation
| Startup | Founder | DP | Sector | Stage gate | Score | Evidence | Recommendation | |
|---|---|---|---|---|---|---|---|---|
| Nimbus Grid | Zuzana Novotná | Investor Readiness Praha | CleanTech | MVP / product planning review | 56 | 58% | Needs support | |
| Vega AI | Veronika Fialová | Investor Readiness Praha | Marketplace | Final progression review | 67 | 36% | Specialist support | |
| Slovan Grid | Petr Pokorný | Investor Readiness Praha | Consumer | Final progression review | 23 | 40% | Re-route | |
| Říp Works | Jiří Horák | Investor Readiness Praha | Consumer | MVP / product planning review | 61 | 53% | Needs support | |
| Nimbus Data | Petra Novotná | Czech Business Angels Network | Consumer | Funding readiness review | 88 | 44% | Seed candidate | |
| Orlík Health | Markéta Fialová | Czech Business Angels Network | EdTech | Funding readiness review | 76 | 79% | Pass | |
| Slovan OS | Lukáš Novák | Czech Business Angels Network | Marketplace | Funding readiness review | 73 | 35% | Seed candidate | |
| Šumava OS | Viktorie Novotná | Czech Business Angels Network | Consumer | Final progression review | 59 | 62% | Needs support | |
| Lipno OS | David Pospíšil | DEPO Ventures Lab | CleanTech | Funding readiness review | 73 | 38% | Seed candidate | |
| Tatra Grid | Martin Veselý | DEPO Ventures Lab | Marketplace | MVP / product planning review | 54 | 59% | Rework | |
| Brno Health | Jiří Pokorný | DEPO Ventures Lab | Marketplace | Final progression review | 57 | 32% | Needs support | |
| Tatra Pay | Anna Růžičková | DEPO Ventures Lab | FinTech | Final progression review | 90 | 82% | Progression review | |
| Berounka Robotics | David Horák | Investor Readiness Praha | AgriTech | Final progression review | 92 | 85% | Progression review | |
| Říp Labs | Pavel Růžička | Czech Business Angels Network | AgriTech | Funding readiness review | 85 | 44% | Seed candidate | |
| Janus Mobilita | Karolína Horáková | DEPO Ventures Lab | EdTech | Funding readiness review | 88 | 73% | Pass |
Evaluation criteria & scoring framework
Weighted criteria applied consistently across all delivery partners
Problem clarity
Clarity, specificity and urgency of the problem.
Customer validation
Evidence of customer demand and pain.
Market opportunity
Size, growth and accessibility of target market.
Solution fit
How well the solution addresses the problem.
Founder capability
Team strength, domain depth and resilience.
Business model strength
Revenue logic, unit economics, repeatability.
Product readiness
MVP maturity and shipping cadence.
Financial assumptions
Credibility of forecasts and funding plan.
Funding readiness
Investor materials, narrative, governance.
Impact potential
Economic, climate or societal contribution.
Investor Readiness Evaluation Support
Across the Investor Readiness stream, ventures are strongest on problem clarity and weakest on financial assumptions. Two delivery partners have the highest number of ventures requiring rework before funding-readiness review.
Evaluation report to Management Layer
Compile and send a stream evaluation summary to the National Layer
Bertie helps Stream Coordinators manage programme stage gates consistently across delivery partners, while using AI to summarise evidence, identify gaps and recommend the next best intervention for each venture.
