AI DEAL SOURCING PLATFORM
AI-powered deal sourcing for buyers, investors, and acquisition targets
Conceptor is AI deal sourcing software built around Florence, an AI reasoning agent that searches 25M+ companies and investors to find the matches that actually fit. Bankers, investors, brokers, and founders use it to find buyers, find acquisition targets, and find investors without weeks of manual research.
Instead of stitching together lists from databases, CRMs, and spreadsheets, describe your mandate in plain language and Conceptor's AI M&A sourcing engine returns a ranked list with clear reasoning behind every recommendation. Your data stays private: we never train on it or send it to models that do.
Fill the top of your funnel
Turn vague theses into concrete target lists in minutes. Conceptor continuously scans the market so your M&A pipeline is never empty.
Qualify targets in seconds
See what a company does, who it serves, and why it might fit your mandate—before you ever send an email or make a call.
Win proprietary deals
Reach owners before processes go broad. Use AI to uncover lookalike companies and adjacent markets your competitors aren't tracking yet.
How AI deal sourcing works in Conceptor
Conceptor is built specifically for M&A teams. Under the hood, our AI models analyze unstructured data about millions of companies—websites, product descriptions, markets, and more—to understand what each business actually does. On top of that intelligence, we give deal teams simple workflows that feel like the tools they already use.
- Describe your thesis in natural language. Instead of checking boxes in a generic database, you write how an associate would: “B2B SaaS tools that help mid-market manufacturers monitor equipment health and reduce downtime in North America and Western Europe.”
- Let Conceptor map the universe of targets. Our AI turns your thesis into a structured search, scoring companies on strategic fit, business model, ICP, geography, and more.
- Review enriched company profiles. For each company, Conceptor surfaces what they do, why they're a match, and key deal signals—so you can prioritize outreach without opening a dozen tabs.
- Save, tag, and collaborate on lists. Build curated deal lists by theme, sponsor, or client, and keep your team aligned on where the next wave of opportunities is coming from.
Built for real deal teams
Conceptor is purpose-built for professionals who live and breathe deal flow—not generic sales or marketing teams.
Investment banks & M&A advisors
- Originate more mandates with differentiated theses and targets.
- Quickly build long lists and short lists for live processes.
- Show clients you're using AI-native tools to cover the market.
Private equity & growth equity
- Run always-on sourcing against your fund's core themes.
- Generate proprietary add-on targets for portfolio companies.
- Stay ahead of competing sponsors with earlier visibility.
Corporate development teams
- Translate product and strategy roadmaps into concrete target lists.
- Monitor adjacent categories for emerging competitors and acquisition candidates.
- Align leadership on where the next strategic moves might come from.
Search funds & independent sponsors
- Cover more niches with fewer people and less manual research.
- Test new theses quickly before committing months of outbound work.
- Spend more time with owners and operators, not spreadsheets.
Founders & business owners
- Find investors whose thesis fits your company before you start outreach.
- Understand which strategic buyers could be a logical fit as you grow.
- Run fundraising research yourself, no banker retainer required.
Why AI-native deal sourcing beats traditional M&A workflows
Traditional deal sourcing relies on static databases, manual screening, and cold outbound campaigns that all chase the same visible companies. AI-native deal sourcing flips that model: instead of starting from lists, you start from strategy—and let AI explore the full universe of potential targets that match your thesis.
With Conceptor, your team can search using the same language you use in IC memos and strategy docs, then instantly see companies that fit—even if they've never shown up in a generic industry filter before. That's how deal teams uncover off-market, under-the-radar opportunities that create real edge.
For many clients, AI deal sourcing is not about replacing human judgment. It's about removing the hours of low-leverage work between having a thesis and talking to the right founder, CEO, or owner.
Conceptor pricing: significantly cheaper than the competition
Conceptor is significantly cheaper than competing deal sourcing platforms like Sourcescrub, Grata, Inven.ai, and Cyndx, which are typically much more expensive.
Conceptor's Individual plan is $50 per month, self-serve, with no annual commitment. Your first 3 searches are free, so you can compare list quality against any competitor before paying anything.
AI deal sourcing FAQs
How is AI deal sourcing different from using a traditional M&A database?
Traditional databases are built around static taxonomies and SIC codes. AI deal sourcing in Conceptor is built around meaning—what a company actually does, who it serves, and why it might matter to your thesis. That means you can search the way you think about deals, not the way a database schema was designed ten years ago.
Can we use Conceptor alongside our existing data providers?
Yes. Many teams use Conceptor to generate and qualify targets, then enrich financials or ownership details using their existing data providers. Conceptor is designed to complement, not replace, the tools you already rely on for execution.
Which teams get the most value from AI deal sourcing?
Teams that run theme-based sourcing, look for proprietary deal flow, or support many internal stakeholders see the most leverage. That includes investment banks, private equity and growth funds, corporate development teams, search funds, and independent sponsors.
How do we get started with Conceptor for AI deal sourcing?
Sign up and run your first 3 searches free, no sales call required. The Individual plan is $50 per month, self-serve, with no annual contract. Enterprise teams can contact sales for the 25M+ dataset, waterfall enrichment, and collaborative features.
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