Eilla
Eilla is an AI-native sell-side M&A advisory for SMBs that pairs experienced M&A advisors with AI to accelerate exits, surface highly relevant buyers, and drive higher valuations without upfront fees.
Eilla is deals software teams evaluate for deals. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Deals
What it does
Deals software for decision-makers comparing workflow fit and alternatives.
Best fit
Deals
Pricing snapshot
Paid from No upfront fees; success fee charged on closing (specific percentage or structure not disclosed on page).
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Eilla
Eilla combines ex-top-tier M&A advisors with AI-driven automation to deliver faster, higher-value exits for small and medium businesses. The platform uses proprietary data and AI agents to identify synergetic buyers, surface market intelligence, and automate manual workflows so advisors can focus on strategy and negotiation. Eilla targets SMB sell-side control transactions (typical client revenue range cited as $1M–$50M) and emphasizes speed (initial offers often within ~6 weeks), higher valuations (claims of ~25% higher valuations), and aligned incentives via success-fee-only engagement.
Eilla is an AI-native sell-side M&A advisory for SMBs that pairs experienced M&A advisors with AI to accelerate exits, surface highly relevant buyers, and drive higher valuations without upfront fees.
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Claim this listingKey Features
Advisor-led process
Deals are managed by experienced M&A advisors (ex-investment bankers) who lead strategy, positioning, and negotiations.
AI buyer sourcing
Proprietary AI scans a database of 9M+ companies to identify hundreds of synergetic and strategic acquirers tailored to each mandate.
Frictionless onboarding
One meeting and a single data upload are positioned as sufficient to become buyer-ready in days.
Market intelligence
AI analyzes similar deals and historical transaction signals to inform valuation and buyer prioritization.
Speed to offers
Processes accelerated by automation, with typical timelines from onboarding to initial competitive offers in under ~6 weeks (often under 2 months).
Aligned fee model
No upfront fees; Eilla charges a success fee only, aligning incentives with sellers.
Scale and trust
Team experience cited as $100bn+ in transaction value executed and partnerships/trust from 40+ funds and banks to automate workflows.
Pricing
Success Fee
No upfront fees; success fee charged on closing (specific percentage or structure not disclosed on page).- No upfront retainer
- Fee payable only on successful transaction
Use Cases
SMB exits ($1M–$50M revenue)
Owners of scaling startups and mid-market firms seeking a sell-side advisor to maximize valuation and accelerate time-to-offer.
Sector-focused M&A
Businesses across Tech & Software, Agencies, Consumer & Hardware, Financial Services, Business Services, and Home Services looking for targeted buyer outreach and sector-specific intel.
Speed-driven processes
Owners who need a faster pathway to competitive offers using AI to rapidly surface buyer demand and create bidding tension.
Integrations
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Benefits
Limitations
Frequently Asked Questions
What is an AI M&A advisory firm?
How big does my business need to be?
How do you find buyers?
How quickly can I expect offers?
How do your fees work?
Is my data secure?
Getting Started
- 1 Book an initial meeting with an Eilla M&A advisor (call-to-action on site).
- 2 Provide/upload deal materials and data once to the platform.
- 3 Eilla’s AI scans the proprietary 9M+ company database to identify target buyers and market intelligence.
- 4 Advisor and AI team contact and prioritize buyers; engage outreach and create competitive tension.
- 5 Receive initial offers (typically around six weeks) and proceed through advisor-led negotiation to close.
Support
Booking / Contact form
Primary call-to-action is 'Book a Meeting' on the website to start an engagement (no direct email published on the provided content).
Privacy Policy
Privacy Policy is available on the site for data handling and legal information.
API
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