Dealwise

AI powered M&A advisor for startups

397 followers

AI powered M&A advisor for startups

397 followers

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Dealwise helps startups with $1M-$10M in annual revenues get acquired. We run a confidential process to get you offers from strategic & financial buyers in half the time of traditional M&A advisors and without locking you into multi-year exclusivity contracts.

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Launch tags:SaaS•Artificial Intelligence•Finance

Launch Team / Built With

LM-Kit OneThe Private AI Application Server

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Congratulations on the successful launch of Dealwise! 👏🏻 It's evident that your platform addresses a critical gap in the market for software startup founders seeking exits in the $1m to $10m revenue range. The integration of AI to identify and engage with relevant buyers is particularly innovative and ensures a comprehensive approach to the selling process. How does Dealwise differentiate itself from traditional M&A advisors in terms of identifying and engaging with potential buyers?

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2yr ago

Dealwise

Maker

Thanks @yasec_kowalski! And that's a good question. I have a more detailed answer in my reply to @kamil_kisielewicz but the summary is that we use a hybrid semantic and keyword search to find more potential buyers than a traditional buyers. And on the engagement side -- we use AI to personalize outreach, which is useful because the acquisition thesis varies from one buyer to another.

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2yr ago

@kamil_kisielewicz @ayan_bandyopadhyay Thank you for your response! It's fascinating to learn about your approach to finding potential buyers using a hybrid semantic and keyword search method. Leveraging AI to personalize outreach is indeed a smart strategy, considering the diverse acquisition theses among different buyers. I'll be sure to check out your detailed answer to @kamil_kisielewicz ☺️

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2yr ago

BlockTalk

Looks cool, but I'm curious about how much of this is actually AI? Are you guys just a service company?

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2yr ago

Dealwise

Maker

@kamil_kisielewicz Great question! We use AI for two things that previously could not be automated: 1. Compiling a list of buyers. In order to put together a list of buyers for a business, you need to understand what the business does and then identify competitors and companies with adjacent products. You can do this manually but it's easy to miss potential acquirers. Instead, we use a semantic + keyword search to identify acquirers with human review at the end. 2. Reaching out to buyers. When you reach out to a buyer you need to communicate the acquisition thesis, or the reason why making the acquisition will provide value to the buyer. For example, a CRM company might want to acquire a lead enrichment company in order to cross-sell to the same customer base -- sales teams. The acquisition thesis varies from one buyer to another, so using AI to personalize outreach can do a much better job than simple email templates. By combining AI automation and human review, we get the best of both worlds: faster turnaround times and more comprehensive outreach. That being said, we've found that there are some steps that cannot be automated, such as negotiation and closing. For the later stages of the deal, you'll be working entirely with a human M&A advisor, so there is a services component to our offering.

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2yr ago