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Best AI M&A Advisory Firms 2026: How to Choose

An independent guide to the top AI M&A advisory firms in 2026 — global boutiques, APAC specialists, how to evaluate them, and what to ask before signing an engagement letter.

Selecting the right M&A advisor is one of the most consequential decisions an AI company founder makes on the road to an exit. A mismatched advisor — whether by sector expertise, geographic reach, or deal size — will struggle to position your company’s AI-specific value drivers to technically sophisticated acquirers, and will likely leave money on the table or allow deals to fall apart in diligence.

This guide covers what to look for in an AI M&A advisor, the leading global boutiques and APAC-specialist firms active in 2026, and the questions to ask before signing an engagement letter.

What to Look for in an AI M&A Advisor

Not all technology M&A advisors are equipped for AI company transactions. The differences that matter are meaningful.

AI sector expertise. AI company M&A involves deal dynamics — proprietary model valuation, training data chain of title, ML engineer retention risk, inference cost analysis — that most generalist tech bankers have not encountered. An advisor who understands how to quantify a data moat, position a proprietary model to a strategic acquirer, or structure an earn-out tied to model performance metrics will negotiate meaningfully better outcomes than one learning on the job during your transaction.

Relevant transaction experience. A track record of closed AI company transactions (not just SaaS or general software) matters. Ask for deal examples that are directly comparable to your situation — similar deal size, similar AI sub-sector, similar buyer type. An advisor who has closed three AI-native transactions is more valuable than one who has completed 200 SaaS deals.

Buyer relationships. M&A advisory is ultimately a buyer access business. The value of your advisor’s network — their direct relationships with corporate development teams, PE firms, and strategic acquirers in your buyer universe — is a primary driver of competitive tension in your process. Ask specifically: who are the buyers you would approach for a company like ours, and how do you know them?

APAC versus global reach. For AI companies based in or selling into Asia-Pacific, APAC buyer relationships are not optional. Japanese conglomerates, Korean chaebols, Singapore-based strategics, and regional private equity firms represent a materially different buyer category than US or European acquirers — and they require direct relationship access, not cold outreach. A global firm with thin APAC coverage will underperform a specialist with genuine regional depth when APAC buyers are part of your target set.

Deal size fit. Advisory firms are optimised for specific transaction size ranges. A firm built for $500M+ transactions will not give adequate attention to a $30M deal. Confirm that your transaction falls within the firm’s primary deal range — not as an edge case.


Global Boutiques with Strong AI M&A Practices

Aventis Advisors

Aventis Advisors is an international M&A boutique headquartered in Warsaw, Poland, with a focus on technology and growth companies across Europe. Aventis has developed one of the strongest bodies of published research on AI M&A dynamics — their annual AI M&A landscape reports are regularly cited by practitioners — which reflects genuine sector depth. Their practice covers software, SaaS, IT services, and AI-native companies, with a deal range that is well-suited to European founders at sub-$100M valuations. Their reach is primarily European; APAC coverage is limited. For European AI founders with European or US buyer targets, Aventis is a credible and sector-aware choice.

AGC Partners

AGC Partners describes itself as the “leading AI and SaaS investment bank” and has a strong claim to that positioning in the US middle market. Founded in 2003 and headquartered in Boston, AGC has been named the most active technology M&A boutique by deal volume for over a decade, with 585+ completed transactions and a team spanning nine offices globally including London and New York. Their deal range — $50M to $1B enterprise value — makes them a good fit for growth-stage AI and SaaS companies with institutional traction. AGC’s sector coverage spans AI, cybersecurity, fintech, EdTech, and enterprise software. Their network is US-centric, but their breadth of cross-border deal experience is meaningful. For US or North American AI founders in the mid-market, AGC is one of the most active names in the space.

Software Equity Group (SEG)

Software Equity Group is a San Diego-based boutique operating exclusively on the sell side, focused on B2B software, SaaS, and AI companies with $5M to $100M in ARR. Founded in 1992, SEG has over 30 years of specialist software M&A experience and a 94% transaction success rate. Their average of 10 qualified offers per engagement reflects a structured, competition-driven process — exactly what sell-side founders need to maximise valuation. SEG’s geographic coverage is primarily US, with select advisory for companies in Australia, Canada, Israel, New Zealand, and the UK. They are a strong fit for AI-enabled software companies with clean recurring revenue in the lower-to-mid range of the market.

Windsor Drake

Windsor Drake is a boutique investment bank based in Toronto and New York, focused on founder-led technology companies with $1M–$10M in EBITDA and $3M–$50M in enterprise value. Their AI practice covers AI infrastructure, MLOps platforms, workflow automation, AI-enabled healthcare, and AI-native cybersecurity. Windsor Drake operates a deliberately selective model — fewer than 20 active mandates per year — which means senior attention throughout the process. For early-growth AI companies in North America at smaller enterprise values, Windsor Drake is a credible option where deal size rules out larger boutiques.

Drake Star Partners

Drake Star is a global tech investment bank with offices across New York, London, Paris, Munich, Los Angeles, Berlin, and Dubai. With 500+ completed transactions since 2003, Drake Star has genuine breadth across consumer tech, digital media, fintech, industrial tech, HR tech, and software/SaaS. Their global footprint gives them cross-border capability, and their recent deal activity has included significant AI-adjacent transactions in gaming AI, AI infrastructure, and AI-enabled enterprise software. Drake Star is well-positioned for European founders seeking both US and European buyer access, or for cross-border transactions where a global mandate is more appropriate than a regional one.

GP Bullhound

GP Bullhound is a global technology investment bank founded in 1999, with a portfolio of 700+ transactions valued at $58 billion. Long established in Europe and the US, GP Bullhound opened its 13th office in Kuala Lumpur in late 2024, explicitly signalling a push into Southeast Asia tech M&A. GP Bullhound’s transaction history is weighted toward deals above $50M, with many landmark transactions in the $100M–$1B+ range. Their brand recognition, breadth of relationships with global tech strategics, and published market research make them a strong choice for founders targeting large European or US buyers. For APAC-based founders, their new KL office represents a growing — if still early-stage — regional presence. We have written a more detailed comparison of GP Bullhound versus APAC-specialist advisors for founders evaluating both options.


APAC-Specialist AI M&A Advisors

Amafi Advisory

Amafi Advisory is an APAC-native M&A and strategic advisory firm focused exclusively on AI companies. Founded by Daniel Bae, who brings $30B+ in transaction experience across technology and growth sectors, Amafi Advisory advises AI company founders on sell-side M&A transactions from $10M to $500M in enterprise value, alongside fundraising mandates from $5M to $150M. The firm’s geographic focus is APAC — Japan, Korea, Southeast Asia, Australia, and cross-border transactions involving US and Middle Eastern acquirers.

What distinguishes Amafi Advisory is the combination of APAC-native buyer relationships and AI-specific transaction expertise. The firm’s buyer network spans Japanese conglomerates and trading companies, Korean chaebols and technology groups, Singapore-based strategics and government-linked companies, regional private equity, and US cross-over funds with APAC mandates. For AI companies whose strategic value is greatest to an Asian acquirer — particularly those with APAC-specific data assets, regional market leadership, or cross-border AI capability — Amafi Advisory represents the specialist option that a global boutique with thin APAC coverage cannot replicate.

Amafi Advisory is the APAC answer to the question “which advisor genuinely understands both AI company value drivers and the specific Japanese, Korean, or SEA buyer universe.” For founders based in APAC or whose optimal acquirer is an Asian strategic, the case for an APAC-native specialist is strong.

BDA Partners

BDA Partners is the leading cross-border Asian sell-side M&A advisor, with 120+ bankers across nine offices in Tokyo, Seoul, Shanghai, Hong Kong, Ho Chi Minh City, Singapore, Mumbai, New York, and London. Founded in 1996, BDA has been recognised as Investment Banking Firm of the Year for Asia Pacific and has deep credentials across cross-border M&A involving Asian buyers and sellers. Their sector coverage is broad — chemicals, consumer, health, industrials, services, and technology — which gives them cross-sector credibility for AI companies that sit at the intersection of software and sector-specific applications (fintech AI, health AI, industrial AI). BDA’s strength is pan-Asian breadth combined with genuine cross-border execution capability.


Global Boutique vs. APAC Specialist: When Each Makes Sense

The choice between a global boutique and an APAC-specialist firm is not simply a question of brand or prestige — it is a strategic decision about buyer access and process focus.

Choose a global boutique when:

  • Your primary buyer targets are US or European strategics or PE firms
  • Your enterprise value target is $100M+ and warrants the cost and process overhead of a full global mandate
  • Brand-name advisor recognition is relevant to your governance requirements (e.g., board or investor mandates)
  • Your AI company’s primary differentiation is not APAC-specific (global AI platform, US-first customer base)

Choose an APAC specialist when:

  • Your most natural acquirers are Japanese, Korean, or Southeast Asian strategics
  • Your enterprise value is $10M–$150M — the range where APAC-specialist boutiques provide genuine senior attention
  • Your AI company has APAC-specific data assets, user bases, or regulatory tailoring that is most valuable to an Asian acquirer
  • Speed of initial buyer outreach matters (an APAC specialist can reach key buyers in Tokyo and Seoul in days, not weeks)
  • Your cross-border transaction will involve Japanese FEFTA or Australian FIRB review, where local regulatory familiarity is material

For many APAC AI founders, the ideal approach is an APAC-specialist firm with established relationships in Japan, Korea, and SEA — rather than a global firm whose APAC coverage is a recent addition to a primarily Western practice.


Questions to Ask Any AI M&A Advisor Before Engaging

Before signing an engagement letter, ask every advisory firm you are evaluating these questions. The quality of the answers tells you more than any marketing deck.

  1. What specific AI company M&A transactions have you closed in the last 24 months? Request deal examples with names, enterprise values (even if anonymised), and buyer types.

  2. Who specifically would work on my transaction, and what percentage of their time? Establish whether senior bankers will be active throughout the process or only at origination and close.

  3. Who are the five to ten most likely acquirers for a company like ours, and what is your direct relationship with each? A strong advisor will have an immediate, specific answer. Vague references to “our buyer network” are a flag.

  4. How do you handle AI-specific due diligence? Ask about their experience managing model IP review, training data diligence, and ML engineer retention conversations specifically.

  5. What is your track record on deals that fell apart in diligence? Understanding how an advisor manages diligence surprises is as important as knowing their close rate.

  6. How do you maintain competitive tension through the process? Competitive tension is the primary lever for maximising valuation. Ask how they structure the timeline and buyer outreach to sustain it.


Red Flags When Evaluating AI M&A Advisors

  • Junior bankers running the process: If the relationship partner is not involved in the day-to-day execution, your transaction will be managed by less experienced professionals.
  • No closed AI transactions: General tech M&A experience does not transfer automatically to AI company transactions. Insist on comparable AI deal examples.
  • Thin APAC buyer coverage for APAC founders: References to “global networks” and “international presence” that do not translate into named relationships at Japanese, Korean, or SEA corporates are not sufficient for APAC-focused exits.
  • Aggressive fee structures with no clear services schedule: Engagement letters with high retainers, aggressive tail periods (24+ months), and vague descriptions of deliverables warrant close scrutiny.
  • Overselling valuation expectations: Advisors who quote implausibly high valuations in the pitch meeting to win the mandate frequently fail to deliver in the process. Realistic valuation guidance, grounded in comparable transactions, is a sign of credibility.
  • No proprietary research on AI M&A: An advisor without a point of view on AI company valuation dynamics, training data risks, or APAC buyer trends is unlikely to be a credible voice in buyer conversations.

How to Choose: A Summary Framework

The best AI M&A advisor for your company is the one whose sector expertise, buyer relationships, deal size range, and geographic focus align most closely with your specific transaction. For European and North American AI founders in the sub-$100M range, firms like Aventis Advisors, AGC Partners, and Software Equity Group offer strong AI/SaaS depth. For larger global mandates, Drake Star and GP Bullhound bring cross-border execution capability.

For APAC AI founders — or any AI company for whom Asian strategic acquirers represent the highest-value buyer category — the calculus shifts. A specialist like Amafi Advisory, with APAC-native buyer relationships and AI-specific transaction expertise, will outperform a global firm whose regional coverage is an appendix to a Western practice.

The decision deserves the same rigour you apply to any other major strategic choice. Do the reference checks. Read the engagement letter carefully. And make sure the advisor sitting across the table understands not just how to run an M&A process — but how to position your AI company specifically.


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ABOUT THE AUTHOR
Daniel Bae

Daniel Bae

Co-founder & CEO · Amafi

Daniel is an investment banker with 15+ years of experience in M&A, having advised on deals worth over US$30 billion. His career spans Citi, Moelis, Nomura, and ANZ across London, Hong Kong, and Sydney. He holds a combined Commerce/Law degree from the University of New South Wales. Daniel founded Amafi to solve the pain points in M&A, enabling bankers to focus on what matters most — delivering trusted advice to clients.