Regulada
Venta anticipada
- Nivel de riesgo
- Muy alto
- Riesgo-rentabilidad
- Media
- Desde
- €250
La financiación está cerrada. La página sigue disponible como referencia; abajo verá proyectos abiertos similares.
Points2BIM GmbH
Alemania
Points2BIM turns laser scans of existing buildings into structured digital building models and data, sold per square metre to construction companies, building owners and operators.
Cifras clave
- Rentabilidad estimada
- hasta 304.06%
- estimación de la plataforma
- Valoración
- €6,200,000
- Salida prevista
- 2030
- Desde
- €250
- Objetivo
- €450,000
Qué posee, cómo puede dar rentabilidad y cuándo
¿Cómo puede dar rentabilidad?
La plataforma estima hasta 304.06%
Normalmente solo si la empresa se vende o sale a bolsa. Las estimaciones son afirmaciones de la propia plataforma.
¿Cuándo podría recibir dinero?
Hacia 2030
Solo si se produce una venta o una salida a bolsa; antes de eso, las participaciones son difíciles de vender.
Capital en riesgo. La mayoría de las startups fracasan; las estimaciones son afirmaciones de la propia plataforma. Las participaciones son difíciles de vender antes de una salida.
¿Invertiría la IA?
IA 59 MediaNuestra IA da a este proyecto 59 de 100: Media. Cómo funciona la puntuación de la IA
Información, no asesoramiento personalizado de inversión. La puntuación IA valora los documentos que publica la plataforma, puede equivocarse y no predice la rentabilidad.
Análisis de la IA
IAPoints2BIM GmbH — Crowdfunding Investor Memo
Points2BIM turns laser scans of existing buildings into structured digital building models and data, sold per square metre to construction companies, building owners and operators.
Sector: ConTech / PropTech — AI building digitisation · Stage: Seed · HQ: Chemnitz, Germany · Raise: €450K goal (deck: up to €700K; platform cap table assumes €1.2M) · Platform: Companisto · Pre-money valuation: €6.2M
Memo prepared 26 August 2026 from the Step 1 fact dossier of the same date. Sources are the company's pitch deck, its 2025 accounts, the Companisto investment analysis and legal documents, the platform listing, and public records.
Snapshot
|
1 · Is the price fair? 💶 |
3 / 5 — Stretched but arguable. The €6.2M pre-money sits about 11–16% above the European seed medians we found (€5.6M, PitchBook Q1 2025; €5.8M for pre-seed/seed AI companies, PitchBook 2025 annual report) and equals 65 times last year's sales of €94,826. Two comparable German ConTech rounds (conmeet, Scenarium AI) did not disclose valuations. |
|
2 · Can they reach an exit stage? ⭐ |
AI SCORE 59 / 100 — Average. Strongest evidenced precondition: a live product with named enterprise customers and revenue growing from €9,470 (2024) to €94,826 (2025) and €188,000 in the first seven months of 2026. Biggest gap the evidence shows: the automation the plan depends on is, in the platform's own words, "not yet complete", and the revenue base is still small and concentrated. |
|
3 · If they do, what could it pay? 🎯 |
Target 4.0x (a 304% gain, 45% a year) over ~4 years — the platform's own target, based on the company's financial plan and an exit "starting in 2030". If reached, illustratively 2.5x–4.5x before fees and future dilution. Method: the plan's 2030 revenue of €2.99M valued at 6–10x revenue (the standard software band, consistent with the 9.4x paid for Matterport by CoStar in 2025, per Virginia Business and the CoStar 10-Q), set against the €6.65M–€7.4M post-money value of this round. |
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 registration, the founders' backgrounds, its public product description and pricing, one public-sector pilot (City of Leipzig) and the platform's legal structure against public sources; 24 checks were run, 9 fully confirmed and 6 partly. The revenue, pipeline, customer list, market-size and financial-plan figures rest on the company's and the platform's own materials, and the exact round size and the crowd's share of the company are not stated consistently — see the questions section. Your money is locked in. Crowdfunding shares normally cannot be sold early — expect your money to be tied up for several years, until the company is sold or a similar event happens. In this deal the certificate terms allow no ordinary exit before the end of 2041. |
Three answers, one honest note. The price-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 company has the preconditions in place to reach a stage where a sale or similar event can happen — it audits readiness on the disclosed evidence; it is not a probability of success, and 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 potential-returns range is an illustration of what a successful exit could pay, built from named sector benchmarks — 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 Companisto, a regulated German crowdfunding platform, before going live; where a fact could exist outside the pack (interviews, data rooms, platform Q&A), we say so rather than assume the worst. Nothing in this memo is a recommendation.
At a glance
|
✅ Three reasons to look closer |
⚠️ Three reasons for caution |
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El análisis completo cubre al prestatario o la empresa, la garantía, el flujo de caja, los riesgos y un veredicto. Inicie sesión para leerlo.
Información, no asesoramiento personalizado de inversión. La puntuación IA valora los documentos que publica la plataforma, puede equivocarse y no predice la rentabilidad.
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