This article covers DealFlowAgent, a fintech startup, which has raised £563,000 in a pre-seed funding round to build an AI-native investment bank that speeds up M&A for owner-led small and medium-sized businesses. The initiative aims to help owner-managed SMEs generating £1m to £30m in revenue across vertical-niche essential service sectors by combining conversational AI with human M&A advisors to prepare sellers, match buyers and run competitive sale processes.
DealFlowAgent, a fintech startup, has raised £563,000 in a pre-seed funding round to build an AI-native investment bank that speeds up M&A for owner-led small and medium-sized businesses. The platform combines conversational AI with human advisors to prepare sellers, match them with buyers and run competitive processes intended to generate better offers more quickly.
Many owner-managed firms sit below the radar of traditional investment banks, which typically focus on deals of £50m and above. DealFlowAgent targets profitable businesses generating £1m–£30m in revenue across vertical-niche, essential service sectors such as building services and healthcare — a market that includes millions of retiring owners in the UK and US and is estimated to represent trillions in value.
If the platform can reliably surface qualified acquirers and accelerate transactions, it could lower the friction and cost of exits for smaller business owners and feed capital into PE roll-ups and strategic consolidators that have been active in these sectors.
DealFlowAgent’s core is a proprietary conversational AI matchmaking system that records buyer preferences, deal structures and interactions to prioritise suitable acquirers. The company pairs that technology with dedicated human M&A advisors and says it has completed 22 transactions to date.
The platform focuses on sectors often overlooked by larger advisers: building services (HVAC, electrical, plumbing, fire safety, roofing, landscaping, pest control, waste management), healthcare (care homes, dental and specialist clinics, beauty spas) and some software businesses. DealFlowAgent cites a recent engagement where an online pharmacy received four offers in four weeks and closed a multi-seven-figure all-cash sale to a Y Combinator-backed healthcare buyer in nine weeks.
The business will use the funding to expand the team and product. DealFlowAgent is hiring two additional senior M&A advisors, a chief operating officer and a senior full stack engineer.
The round was led by Long Journey. Participants include individual investors associated with early-stage bets on major startups and a former early employee of Temenos who later helped scale that banking software company.
Long Journey’s team named in the announcement includes Arielle Zuckerberg, Cyan and Scott Banister, Pascal Levy-Garboua and Lee Jacobs. The fund’s partners are noted for early investments in companies such as Uber and Loom.
In the announcement, Pascal Levy-Garboua, Partner at Long Journey Ventures, said:
I've experienced how archaic the M&A process can be—I've acquired 20 companies via my firm Noosa Labs. We are seeing a perfect convergence: millions of retiring owners, surging capital from PE-backed roll-ups, and fragmented industries ripe for consolidation. Joe has the vision and execution to modernise this market, and we are excited to back him.
If you're researching potential backers in this space:
Founder Joe Lewin, who previously built and sold his first company Zwings, says his experience of the traditional M&A process informed DealFlowAgent’s design. The announcement frames the product as a way to reduce the time and information gaps that often derail small-ticket deals.
In the announcement, Joe Lewin, Founder and CEO at DealFlowAgent, said:
Most business owners have never sold a company before—they wing it, or work with a broker who can't track what hundreds of buyers actually want. Our conversational AI matchmaking maintains memory of every buyer preference and deal structure, so we can match sellers with the right acquirers, run a competitive process, and deliver more offers to choose from and better terms in less time.
The raise arrives as capital shifts toward AI-native platforms and consolidation strategies that buy fragmented, essential-service businesses. For investors and buyers pursuing roll-ups, better discovery and matchmaking tools reduce search costs and can speed deal flow.
The announcement also illustrates how fintech investors are looking beyond pure financial infrastructure into adjacent markets where machine learning can replace manual matchmaking and paperwork. If successful, tools like DealFlowAgent could change how mid-market SME exits are run, making competitive auction-style processes feasible for smaller transactions.
As millions of owner-managed businesses in the UK and Europe eye succession or sale, technology that reduces complexity and time to close may increase the number of viable exits and influence consolidation patterns across regional service markets.
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