DealFlowAgent secures $750,000 to automate mergers and acquisitions for small businesses.

      A seed-stage investment bank focused on small business M&A has secured $750,000 from investors associated with Uber and SpaceX. The market they aim to serve is vast, raising the question of whether they are ahead of the curve or perfectly timed.

      Typically, individuals selling a business do so only once. They often lack knowledge about current market rates, serious buyers, and do not have a comprehensive spreadsheet detailing the preferences of numerous acquirers. Instead, they generally rely on a broker, harbor hope, and engage in a year-long process.

      Joe Lewin, the founder and CEO of DealFlowAgent, has experienced both sides of the selling table. After selling his own business, he spent years advising owners and buyers. He repeatedly noticed that the issue was not a lack of intent but a lack of information.

      “Most business owners have never sold a company before,” he explains. “They either try to manage it on their own or work with a traditional broker who lacks the detailed insights into what various buyers are seeking.”

      Joe Lewin revealed that Long Journey Ventures has led a $750,000 seed funding round for DealFlowAgent, his AI-driven investment bank based in London, focusing on small and mid-market M&A.

      This funding round includes partners from a fund that features Cyan Banister—one of the initial institutional investors in Uber and SpaceX—her husband Scott Banister, general partner Arielle Zuckerberg, and venture partner Pascal Levy-Garboua.

      The product

      DealFlowAgent utilizes a hybrid model where each client is assigned a senior human M&A adviser to guide the engagement while a specially trained AI agent, known as the Deal Concierge, operates continuously alongside.

      The AI takes charge of preparing data rooms, monitoring buyer preferences, determining potential acquirers through synergy analysis, and identifying risks throughout the process. The advantage lies in merging the relational intelligence of an experienced banker with the data retention and processing capabilities of software.

      “Our centralized AI Deal Concierge has an extraordinary memory of conversations, preferences, and deal structures—insights that would be unmanageable to track manually,” states Joe Lewin.

      The company highlights a successful case study with an early client: an online pharmacy that, as per DealFlowAgent, received four offers in four weeks and finalized a cash sale of multiple seven figures in nine weeks, which is approximately a third of what the firm considers a typical industry timeframe.

      The investors

      Long Journey Ventures is not a traditional tech venture capital firm. This San Francisco-based company, co-led by Cyan Banister along with general partners Lee Jacobs and Arielle Zuckerberg, raised a $181.8 million fourth fund in March 2025 and has established a reputation for supporting what it terms “magically weird” founders at the seed stage.

      The investment in DealFlowAgent seems to have been influenced partly by Pascal Levy-Garboua, a venture partner at Long Journey who also oversees Noosa Labs, a firm he founded that acquires and operates small SaaS businesses.

      He has publicly discussed the dynamics of small-company M&A, the inefficiencies present in the broker market, and the opportunities apparent in fragmented industries.

      “I’ve witnessed how outdated the M&A process can be,” he commented. “We are at a perfect intersection: millions of owners approaching retirement, increasing capital from PE-backed roll-ups, and fragmented industries ready for consolidation.”

      Early or right on time?

      DealFlowAgent is not the only player targeting this market. Companies like Axial, Exitwise, and several AI-enhanced M&A platforms have been addressing the same gap for a number of years.

      The trend of succession has been anticipated for long enough that “early” and “right on time” are starting to blur into one another.

      DealFlowAgent's strategy hinges on effective execution: that a human-AI hybrid model, spearheaded by a founder with personal sales experience, can excel in speed, intelligence, and trust in a market where these qualities are often lacking.

      The $750,000 investment serves as a sign of confidence, not just as a financial reserve. The next step is to validate the model at scale.