According to a CB Insights study, more than 60% of startups spend weeks — and sometimes months — on attracting investments: cold mailings, meetings, and clarifying requirements. At the same time, the average founder sends more than 100 emails to each potential investor before agreeing to a dialogue. This process not only takes time, but also demotivates the team, diverting resources from product development.

At InvestMatch, we see another solution: to make finding an investor as instant as making an online purchase or ordering a taxi. Our Telegram bot automates the analysis of the Pitch Deck, compares the characteristics of the project with the criteria for investors and issues the top 5 relevant "matches" in 5 minutes. In this article, we will talk in detail about the architecture of the AI solution, the results of the beta test, and practical recommendations for founders.

Architecture of the AI solution 

1. Collecting and normalizing Datafounder uploads the Pitch Deck (PDF or link to Google Slides) directly to the chatbot. The AWS Lambda backend accepts the file, extracts text and key images (slides with a financial model, roadmap) using Tesseract OCR and the Google Vision API.
2. NLP analysis and embeddings
3. Models: We use spaCy to tokenize and extract entities (round amount, sector, stage, KPI).
4. Custom embeddings: The Sentence-BERT model, trained on the basis of more than 1,000 transactions, transforms abstracts from text into a vector space.
5. Candidate ranking
6. XGBoost: based on historical data from more than 500 successful transactions, we have trained gradient boosting to evaluate the "scoring" of an investor for a project.
7. Filters: The bot cuts off relevant investors by geography, rand stage, and minimum/maximum investment amount.
8. High-performance infrastructure
9. AWS Lambda + API Gateway: all calculations are serverless, auto-scaled to load.
10. MongoDB Atlas: Stores metadata, investor profiles, and query logs.
11. Telegram Bot API v.6.0: Provides instant message delivery and push-button navigation.
12. Feedback loop Every successful match is evaluated by the user in the bot (like/dislike). This data is returned to the training pipelines so that the AI model improves with each iteration.

Beta test results

• Average matching time: 4.7 minutes (from loading the Pitch Deck to issuing the list)
• "Match → first response" conversion: 82% of projects received a response from the investor within 48 hours
• Relevance level: 4.6/5 according to surveys among the top 50 founders
• Term-sheet: 18% of beta startups have received a preliminary financing offer

"With InvestMatch, we have accelerated the search for an angel from three weeks to three days," says Ivan, CTO of the AgriTech startup FarmAI.

Practical recommendations for founders

1. Optimize your Pitch Deck
2. Clearly state the problem and its scale (TAM, SAM).
3. Add a slide "Why now?" with market evidence.
4. Use exact numbers: MRR, LTV/CAC, month-over-month growth.
5. Select key metrics and highlight KPIs with cards when uploading a file; the bot will extract "valuable" scoring data faster.
6. Work with feedback and evaluate every match in the bot. Your likes and dislikes help the model better understand your preferences.
7. Use free matches with my first 5 matches are available for free to every founder. Start with those investors whose profile most closely matches your round and industry.
8. Keep an eye on BOT reminders If the investor does not respond for more than 72 hours, the bot will send you a follow-up email template directly to the chat.

Instead of spending weeks on newsletters and meetings hoping to find the right investor, try InvestMatch: a Telegram bot that connects you with the best angels and funds in 5 minutes. Our solution has already been tested by 50 startups, and they are ready to recommend it to other founders.

Ready to speed up your round?👉 Launch InvestMatch right now and get the first 5 relevant matches for free!

https://t.me/InvestmatchBot