Gereguleerd
- Risiconiveau
- Hoogste
- Risico-rendement
- Slecht
- Starten vanaf
- €100
cosy.green
Duitsland
AI-supported optimisation of existing heating systems in apartment buildings — smart radiator thermostats plus a proprietary boiler-room control device, steered by self-learning software — cutting heating energy and CO2 costs by 25–29% without renovation.
Kerncijfers
- Verwacht rendement
- 4.54–5.84×
- schatting van het platform
- Waardering
- €3,300,000
- Verwachte exit
- 2031
- Financiering eindigt
- 29 Nov 2026
- Starten vanaf
- €100
- Doelbedrag
- €600,000
Wat u bezit, hoe het kan opbrengen, en wanneer
Hoe kan het opbrengen?
Het platform schat 4.54–5.84×
Meestal alleen als het bedrijf wordt verkocht of naar de beurs gaat. Schattingen zijn beweringen van het platform zelf.
Wanneer zou ik geld kunnen krijgen?
Rond 2031
Alleen als er een verkoop of beursgang komt; daarvoor zijn aandelen moeilijk te verkopen.
Kapitaal loopt risico. De meeste start-ups mislukken; schattingen zijn beweringen van het platform zelf. Aandelen zijn moeilijk te verkopen vóór een exit.
Zou de AI investeren?
AI 67 GemiddeldOnze AI geeft dit project 67 van de 100: Gemiddeld. Zo werkt de AI-score
Informatie, geen persoonlijk beleggingsadvies. De AI-score beoordeelt de documenten die het platform publiceert, kan onjuist zijn en voorspelt geen rendement.
AI-analyse
AIcosy.green GmbH — Crowdfunding Investor Memo
cosy.green makes the existing heating system of an apartment building run more efficiently — smart radiator thermostats plus its own control box in the boiler room, steered by self-learning software — so landlords and housing companies cut heating energy and CO2 costs without renovating.
Sector: PropTech / building energy management · Stage: Pre-seed/Seed (first revenue 2025) · HQ: Langenselbold, Germany · Raise: up to €700K participating subordinated loan (threshold €60K, passed; €70,351 from 28 investors at review)
Snapshot
|
1 · Is the price fair? 💶 |
3 / 5 — Stretched but arguable. The €3.3M pre-money (€4.0M fully subscribed) equals roughly 8–9x the company's own planned 2026 revenue but ~448x its 2025 actual revenue of €8,922. The nearest funded German peers (Green Fusion: €2.7M seed 2023, €12M Series A Jan 2025; vilisto: €5M Series A 2023 — round sizes, valuations undisclosed) give direction but no firm anchor; no published valuation multiples exist for this niche. |
|
2 · Can they reach an exit stage? ⭐ |
AI SCORE 67 / 100 — Average. Strongest evidenced precondition: a working product in paying operation — 50 apartments live since December 2025, three paying customers including the City of Langenselbold (publicly corroborated), and a fully disclosed two-scenario financial plan. Biggest gap the evidence shows: the company's own plan records just €3,037 of cash at end of June 2026, making this raise and €450K of planned shareholder loans load-bearing for 2026. |
|
3 · If they do, what could it pay? 🎯 |
Target 4.83–6.25x over ~5 years (37–45% per year) — the company's own displayed target. If the company hits its own plan, the contract's end-of-term bonus mechanic pays illustratively ~3.9x (base scenario) to ~5.0x (target scenario) before fees and future dilution — derived from the loan's formula (your share × 100% of the last full year's revenue) applied to the company's planned 2030 revenue of €11.7M / €15.9M. These figures do not include dilution from future fundraising rounds, which would reduce actual returns — see the dilution section. Most early-stage investments return little or nothing. |
How to read the score
|
85–100 · Excellent |
All key preconditions for reaching an exit stage are evidenced and strong — rare at this stage |
|
70–84 · Good |
Preconditions largely in place, with specific gaps — named in the questions section |
|
50–69 · Average |
Meaningful preconditions missing or weakly evidenced |
|
30–49 · Weak |
Several core preconditions absent, or the evidence points against them |
|
1–29 · Critical |
Fundamental preconditions are not visible in the evidence |
|
What we could check. We verified the company's legal identity and registration, the three founders named in independent press, media coverage, its 2025 startup-award semifinal, and the quoted 12.6% market growth rate against public sources. The revenue and unit figures, the 5,000 contracted units, the 25–29% savings results, the cash position and the financial plan rest on the company's own materials — see the questions section. |
|
Three answers, one honest note. The fairness score says whether the entry price is supported by the sector benchmarks we could find. The AI Score is our read on whether the preconditions for reaching an exit or payout stage are evidenced — it audits readiness on the disclosed evidence, not the probability of success; even companies with every precondition in place fail more often than they succeed, which is why crowdfunding only works as a small part of a diversified portfolio. The returns range is an illustration built from the contract's own payout formula and the company's plan — not a forecast. Where something was not in the pack we reviewed, it did not lower any score — it appears in the questions list instead, so you can ask the company directly before investing. The listing was reviewed by the crowdfunding platform FunderNation before going live. Nothing in this memo is a recommendation. |
At a glance
|
✅ Three reasons to look closer |
⚠️ Three reasons for caution |
|
|
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Deal terms. No terms were identified in the reviewed documents that would prevent a crowdfund investor from sharing in the upside — your payout share rises 1:1 with company revenue, value or sale proceeds, with no structure that caps it. Note the nature of the instrument: this is a subordinated loan, not shares — full mechanics, including how payments can be suspended if the company is in difficulty, are at the end of this memo. |
|
ℹ️ Information, not investment advice. Capital at risk — you could lose the full amount invested. Full notes are at the end of this memo. |
🏢 What the company does
cosy.green, founded in August 2024 in Langenselbold near Frankfurt, sells heating optimisation to …
De volledige analyse behandelt de lener of het bedrijf, de zekerheid, de kasstroom, de risico's en een oordeel. Log in om deze te lezen.
Informatie, geen persoonlijk beleggingsadvies. De AI-score beoordeelt de documenten die het platform publiceert, kan onjuist zijn en voorspelt geen rendement.
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