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In this episode of the Tech M&A Podcast, we sit down with Rick Saarimaki, CEO of CDP Communications, a software company that has spent more than 40 years converting high-volume print streams into accessible PDF and HTML documents that can be viewed online. Rick, who has been with the business for over 30 years, first took CDP to market with a generalist advisor. A year into the process, it was clear the firm didn't understand what CDP did, and the sale stalled. CDP came back to market with Corum and closed an all-cash exit to a long-standing business partner, the same buyer that had approached the company twice before.
Rick reflects on why Corum's focus on technology and fintech companies led CDP to switch advisors mid-process, why a buyer that couldn't get a deal done the first time came back with a higher price, and what surprised him about selling the company itself instead of its products. He walks through a diligence process run mostly by the buyer's internal team, with outside technology partners reviewing CDP's source code. He also covers the questions still open after closing: the peg, the holdback, and cash flow under two different accounting methods. He explains why legal and accounting bills run higher when you're not repeat business. Rick is staying on with the buyer and still runs other companies. He closes by crediting Mark at Corum for stepping in at the moments that got the deal done.
Takeaways
Pick an advisor who knows your space: CDP spent a year in market with a generalist firm that didn't understand its business, and Corum's focus on technology and fintech companies is what got Rick to switch.
Selling the company is a different skill: Rick found that a team used to selling its products isn't used to selling itself, and that was one of the surprises of the process.
Expect technical diligence: The buyer relied mostly on its internal team and the deal room, but it brought in outside technology partners to review CDP's source code.
Watch the peg and the holdback: After closing, Rick is still working through the peg, the money held back, and how cash flow plays out across two different accounting methods.
Budget for time and fees: The process took longer than Rick expected, and he found that lawyers and accountants price accordingly when they know you're not repeat business.
A banker changes buyer behavior: The partner that couldn't close a deal in the earlier process came back with a higher price once Corum ran the sale and, by Rick's account, behaved differently the second time.
Let someone else absorb the friction: Even with a long-time partner on the other side, Rick valued having an advisor handle the day-to-day dealings, with CDP stepping in only when issues escalated.
Timestamps
00:00 – Introduction 00:47 – Rick Saarimaki and CDP Communications 01:15 – Switching advisors mid-process 01:54 – Selling the company, not the product 02:14 – Buyer diligence and source code review 02:38 – The peg, holdback and cash flow 03:11 – Time and professional fees 03:42 – Choosing the acquirer 04:12 – A returning buyer and FOMO 04:26 – Advice for CEOs 04:56 – Life after the exit 05:29 – Final thoughts
Q3 Tech M&A Report:
Taking a look at the deal activity, emerging trends, and valuations across 29 subsectors in the third quarter of 2026.
AI can generate a polished valuation in seconds, but incomplete public M&A data, outdated deal information, and missing buyer context can make that estimate dangerously misleading.
In this special report, we'll go over why fewer than 15% of technology transactions disclose deal value, how an AI-generated valuation can anchor expectations and cost you millions, and why a competitive global M&A process can create value no spreadsheet, no algorithm and no AI can predict.
Learn where AI helps in tech M&A, where it falls short, and why your company is ultimately worth what a qualified buyer is willing to pay.
Key Takeaway
• AI valuations rely on a small, self-selected portion of disclosed technology transactions, leaving much of the relevant market evidence unseen.
• A valuation model is a starting point—not the final measure of what a qualified buyer may pay.
• The best buyer may be outside a seller's obvious shortlist and may come from another geography, a private equity platform, or a company entering the market.
• Relationships, deal structure, succession goals, tax considerations, and negotiation nuance cannot be captured fully by an automated model.
• AI is most effective as a competitive advantage within a professional M&A process—not as a shortcut that replaces one.
Chapters
00:00 Can AI Value Your Company?
00:54 Why AI Valuation Multiples Can Mislead
01:15 Real World Example
01:39 Where the Extra Value Comes From
02:26 Finding the Right Buyers
03:27 The Risk of Valuation Anchoring
03:47 Five More Ways AI Can Fail in M&A
04:35 Use AI as an Advantage, Not a Shortcut
AI-enabled software companies are commanding premium valuations—but buyers are raising the diligence bar even faster. In this special report, we examine the three questions shaping today's AI M&A deals.
Discover why durable AI businesses with proprietary data, deep workflow integration, specialized talent, and defensible intellectual property can earn higher revenue multiples—while thin wrappers around third-party models are being priced closer to ordinary SaaS.
Whether you are an AI founder, board member, investor, or strategic acquirer, learn what buyers value, what risks they test, and why the current AI M&A premium may have an expiration date.
Key Takeaways
• AI-enabled software can command premium valuations, but only when buyers see durable, defensible capabilities.
• The AI premium is often a speed premium: acquirers pay to close capability gaps that could take years to build internally.
• Evidence-based headcount conversion plans are more credible than indiscriminate cuts designed to make a company appear lean.
• Buyers want to know whether AI savings improved margins or were recycled into compute and infrastructure costs.
• The market window for AI exits is open, but founders and boards should not assume today's premium will last indefinitely.
Chapters
00:00 Intro
00:57 AI Software Multiples vs. Traditional SaaS
01:16 Why Strategic Buyers Are Outbidding Private Equity
02:27 Durable AI Companies vs. Thin AI Wrappers
02:53 The Risk Behind the AI Investment Boom
03:49 Question 1: Do You Own or Rent Your AI?
04:33 Question 2: What Did AI Do to Headcount?
05:11 Question 3: Where Did the Savings Go?
06:08 What Founders, Boards, and Acquirers Should Do
06:40 Why AI Does Not Replace an M&A Advisor
What does it really take to sell a technology company? In this founder panel, entrepreneurs who have successfully navigated acquisitions share firsthand lessons on M&A strategy, choosing the right buyer, preparing for due diligence, timing an exit, and navigating life after the deal.
The conversation covers the unique challenges of selling AI and technology companies, running a structured M&A process, evaluating strategic fit, preparing company records and KPIs, managing negotiations, and building the right advisory team. The founders also share candid lessons about the workload and pressure of an acquisition and what they would do differently if they went through the process again.
Key Takeaways00:00 Welcome & Founder Introductions 00:45 Why Founders Decide to Sell 03:58 From AI Entrepreneur to Acquisition 06:04 Selling an AI Company 07:50 Finding the Right Buyer 08:53 Choosing an M&A Advisor 11:23 Inside a 33-Day Acquisition 13:18 Why a Structured M&A Process Matters 15:06 The Hardest Parts of Selling a Company 16:44 Preparing for Due Diligence 18:27 Addressing Problems Before the Sale 19:32 Managing Co-Founder Alignment 20:36 Advice for Founders Considering an Exit 23:01 When to Talk to an M&A Advisor 23:55 The KPIs Buyers Examine 24:38 Building Your M&A Advisory Team 26:17 What Founders Would Do Differently 27:59 Preparing Years Before an Exit 28:59 Life After Selling Your Company 33:01 Starting Another Company After an Exit 33:58 Final Advice for Entrepreneurs
In this episode of the Tech M&A Podcast, we sit down with Vincent Harris, CEO and co-founder of RealEstateAPI, a property data infrastructure company whose APIs give software developers clean, structured data on more than 157 million US properties. Vince and his co-founder had been in business together for roughly a decade before this venture, through companies that grew and then plateaued or ran into regulatory limits. RealEstateAPI was the one they believed was sellable and they took it to market through Corum, closing a successful exit about ninety days before this conversation, after a deliberate pause and return along the way.
Vince reflects on how a cold outreach from Corum deal maker Richard Holcomb and a series of educational events first introduced him to the firm, why the decision to sell came down to de-risking his family, and the surprises that followed — chief among them the cost of legal counsel and an unexpected F reorganization that reshaped the structure of the deal. He speaks candidly about how personal and adversarial due diligence can become, why he chose a buyer offering less cash upfront but considerably more upside, and how a five-month hiatus spent tightening advertising efficiency and operating leverage brought him back to market with a stronger story. Finally, Vince discusses life after the exit and the advice he would give founders who think it's too early to start.
Takeaways
Timestamps
00:00 – Introduction: Vincent Harris and RealEstateAPI 00:58 – What RealEstateAPI does: property data as Lego blocks for developers 01:42 – Discovering Corum through cold outreach and educational events 02:13 – Motivation for the process: de-risking the family 03:12 – Surprises: the cost of legal counsel and an F reorganization 04:52 – How personal and contentious due diligence became 06:08 – A bulge-bracket-grade process in the lower middle market 07:15 – What he wishes he'd known about legal costs 08:05 – Choosing the eventual acquirer 09:00 – Advice for CEOs selling their company 10:30 – Life after the sale 11:32 – Going on hiatus and returning to market 12:34 – What he focused on during the hiatus 13:11 – A stronger, more credible story on return 13:47 – Final thoughts: let your partner into the journey
In this episode of the Tech M&A Podcast, we sit down with Chuck Stahl, former CEO and principal owner of D4M International, a global SAP and digital manufacturing consultancy serving the automotive and industrial sectors across North America, Latin America, and Europe. After acquiring the business with a clear plan to build it over three to five years and then sell, Chuck saw that plan through to a successful exit through Corum — including a deliberate pause and return to market along the way.
Chuck reflects on how a Corum webinar on valuations first introduced him to the firm, why starting the process early mattered, and the surprises that came with due diligence, negotiation, and juggling multiple parties on the buyer side. He shares candid advice for founders preparing to sell — making every decision based on building value, accepting that no business is perfect, and knowing when to pause and come back stronger. Finally, Chuck discusses life after the exit, from a more relaxed day-to-day to focusing on growing the business he built.
Takeaways
Timestamps
00:00 – Introduction: Chuck Stahl and D4M International 00:47 – D4M: SAP and digital manufacturing consultancy 00:59 – Discovering Corum through a valuations webinar 01:45 – The plan: build for three to five years, then sell 02:00 – Surprises: NDAs, buyers, and a longer process 02:36 – Due diligence and outside parties on the buyer side 03:25 – The biggest lesson: valuation and what a company is worth 03:57 – Choosing the eventual acquirer 04:28 – Advice for CEOs considering a sale 04:49 – Going out to market, then taking a pause 05:35 – Returning to market with a stronger story 06:27 – Life after the sale 07:03 – Final thoughts on getting the deal done
AI can be a powerful tool in business, but it is not a substitute for expert guidance when selling a software or IT company. This video explains six key risks of relying too heavily on AI in tech M&A, including outdated valuation data, generic buyer outreach, incomplete buyer intelligence, and weak strategic positioning.
Selling a technology company requires current market insight, buyer relationships, compelling storytelling, confidentiality, and professional deal strategy. Learn why AI should be used responsibly as an advantage in the M&A process — not as a shortcut for one of the most important decisions a founder will make.
Takeaways
• AI tools can help streamline work, but they cannot run a complete M&A process.
• Outdated public data can lead to poor valuation assumptions.
• Generic AI-generated outreach may fail to capture buyer attention.
• AI lacks private buyer intelligence, negotiation history, and relationship context.
• Strong positioning depends on understanding disruptive trends and future buyer value.
• Deal structure, tax issues, estate planning, and legacy goals require human expertise.
• Confidential company data should be protected carefully when using AI tools.
0:00 – AI Is Not a Shortcut for Tech M&A Why founders should be cautious about using AI to sell a software or IT company.
0:49 – Six AI Risks in the Sale Process The core cautions around AI-generated valuation, research, buyer lists, and deal support.
1:00 – Data Quality and Buyer Messaging Why current market data and human storytelling are critical to price discovery.
2:16 – Buyer Intelligence and Strategic Positioning How relationships, deal behavior, disruptive trends, and future value shape outcomes.
3:15 – Personal Planning, Security, and Expert Execution Why complex deal decisions and confidential information require professional guidance.
July Tech M&A Report:
Taking a look at the deal activity, emerging trends, and valuations across 29 subsectors in July of 2026.
The tech M&A market may be entering a new golden era, driven by mega deals, AI disruption, massive tech balance sheets, and record levels of private equity capital. As technology moves faster and competition intensifies, the world's largest buyers are increasingly using acquisitions to buy growth, innovation, market position, and strategic advantage.
For tech CEOs, founders, and shareholders, this creates a powerful market opportunity. With more active buyers, more acquisition currency, and a wave of founders preparing for succession or exit, today's environment may be one of the strongest windows to consider selling a technology company.
Key Takeaways
• Mega deals are setting the tone for the broader tech M&A market.
• The largest technology companies are increasingly using acquisitions to sustain growth. • AI is accelerating competition and forcing strategic buyers to move faster.
• Tech giants now have unprecedented market value, stock currency, and cash available for acquisitions.
• Large acquisitions often create chain reactions as competitors respond. • Private equity firms have trillions in capital they need to deploy.
• A founder succession crisis is increasing the number of companies preparing to sell.
• Cross-border M&A activity continues to expand as technology becomes more global.
• For technology CEOs, founders, and shareholders, the current market may represent one of the strongest exit environments in history.
0:00 – Why Tech M&A Is Heating Up Mega deals, AI disruption, and massive tech balance sheets are setting the stage for a new acquisition cycle.
0:55 – Today's Tech Giants vs. the Dot-Com Era A look at how today's trillion-dollar companies dwarf the market leaders of 2000.
2:00 – Why Big Tech Is Buying Growth Strategic buyers are using acquisitions to gain innovation, market position, and competitive advantage.
2:47 – Mega Deals, Private Equity, and Buyer Demand Record deal activity, more acquisition capital, and thousands of active buyers are fueling the market.
3:46 – Why Founders May Have a Window to Sell A founder succession crisis, global buyer demand, and strong market conditions are creating exit opportunities.
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