A Danish Lead Co. company 110+ B2B companies served across the group
DealSurce Systems

Proprietary deal flow, before the auction.

The best deals are won before a banker is engaged. We map your full thesis, detect the owners moving toward a sale, and put your firm in direct founder conversations across platforms and add-ons, every week. Full coverage of your thesis, without adding a sourcing team. It is one of three deal origination services we run on the same engine.

Book a call See how the engine works

By the time the book arrives, the deal is already a competition

Sourcing that depends on brokers, intermediaries, and auctions hands the timing, the price, and the field of bidders to someone else. The firms winning proprietary deals are the ones already in conversation with owners who have not yet decided to sell.

  • The problem

    Priced before you arrive

    Auctions and broad processes are designed to maximise competition. By the time a teaser lands in your inbox, the asset is positioned, the multiple is set, and every other sponsor in the sector has seen the same book.

  • The problem

    Coverage you cannot staff

    A full thesis spans hundreds or thousands of companies. One or two business development hires can work a fraction of it, and the relationships leave when they do. Headcount does not scale to the size of the map.

  • The problem

    Blind to the ready owner

    The owner who will sell next quarter is rarely on anyone's radar yet. Without continuous monitoring of the whole universe, the firm only learns they were ready when the deal shows up in a process it did not start.

Your thesis, run as standing infrastructure

The same origination engine behind every mandate is pointed at your investment criteria and run continuously, not as a campaign you switch on. AI does the work that scales. Operators do the work that matters.

Here is how the five layers turn a thesis into founder conversations on your calendar.

Read the full engine breakdown, layer by layer

  1. 01 Map AI

    The full universe that fits your thesis

    We translate your investment criteria, sector, sub-sector, size, geography, and ownership profile, into a market map built from 16+ databases plus our own web scraping, with verified owner and decision-maker data attached. Not a fraction an associate can reach, the whole addressable market.

  2. 02 Score AI

    Thesis-fit scoring, 0 to 100

    A proprietary model scores every company against 50+ signals, so your thesis becomes machine-readable targeting rather than a paragraph in a deck. Scoring decides where attention goes first and lets you test segments and angles against each other across a platform or an add-on map.

  3. 03 Detect AI

    Triggers that mean an owner is ready

    Continuous monitoring for ownership change, succession, leadership hiring, funding, and growth inflections, the events that move an owner toward a sale. You enter the conversation before a banker does, and before the company becomes a competitive process.

  4. 04 Engage Operator-led

    Outreach an operator stands behind

    Our system drafts and personalises at scale, then an operator with deal experience reviews every founder-facing message before it sends and handles the replies. The outreach reads like an investor writing to a founder, not a broker blast. This is the guardrail an autonomous AI tool does not have.

  5. 05 Deliver Infrastructure

    Deliverability and visibility underneath

    Dedicated domains, warmed inboxes, and deliverability monitoring make sure messages actually arrive, the invisible layer a thin tool never builds. Client portals show the mapped market, the live pipeline, and every conversation, so the firm owns the asset rather than renting a black box.

Coverage, an owned data asset, and conversations every week

  • Coverage

    Your whole thesis, worked continuously

    Platform and add-on theses run in parallel as separate targeting logic against the same engine. The full map is covered every week, not the slice one or two hires can reach, and without adding the headcount to do it.

  • Owned asset

    The mapped market, documented and yours

    You receive the full universe that fits your thesis as an owned asset, with verified owner and decision-maker data and live portals into the pipeline. The relationships are the firm's, not rented from a vendor.

  • Conversations

    Direct founder conversations, weekly

    A steady cadence of off-market conversations with owners, before brokers and auctions, feeding long-term deal flow rather than one-off wins. You keep the thesis and the relationships; we run the machinery underneath.

Operating results, not projections

What thesis-driven origination looks like for a buy-side firm in its first weeks of running.

Boutique private equity firm

Off-market origination

34 thesis-fit opportunities surfaced in the first month
25 direct replies from founders open to discussing a sale

For a boutique private equity firm, thesis-driven sourcing translated the firm's acquisition criteria into targeting logic and put it in front of owners directly. The first month produced 34 opportunities fitting the mandate, including 25 direct replies from founders open to discussing a sale, conversations the firm owns, sourced before any of those companies entered a process.

Healthcare investment bank

Healthcare investment banking

14 qualified founder conversations in the first 3 weeks
133 qualified founder conversations within 90 days
~13 new conversations per week, ongoing after doubling volume

Supporting proof from the same engine on the M&A advisory side: a healthcare investment bank produced 14 meaningful founder conversations in the first three weeks and 133 within 90 days, with multiple deals advancing. After doubling outreach volume, the system now generates around 13 new qualified founder conversations per week. The same machinery serves a buy-side thesis at the same cadence.

Questions from private equity firms

How do private equity firms generate proprietary deal flow?

The most reliable way is direct, thesis-driven outreach to owners before their companies enter a process. That means mapping the full universe of companies that fit the thesis, scoring each for fit, monitoring for the signals that mean an owner is ready, and reaching out with messaging that reads like an investor writing to a founder rather than a broker blast. Done as standing infrastructure rather than a campaign, this produces a steady stream of off-market founder conversations that auctions and intermediaries never surface.

How is this different from hiring a business development associate?

An associate gives you effort against a fraction of the market and leaves when they move on. The infrastructure gives you full thesis coverage that compounds and stays. We run the data layer, the thesis-fit scoring, the trigger detection, the operator-checked outreach, and the deliverability stack underneath it, so the firm gets the coverage of a sourcing team without adding the headcount, and keeps the relationships and the mapped market as an owned asset.

Can the system source both platform and add-on acquisitions?

Yes. A platform thesis and an add-on thesis are two sets of targeting logic the engine can run in parallel. For platforms we map and score the full universe that fits the investment criteria. For add-ons we point the same engine at the buy-and-build map around an existing portfolio company, surfacing tuck-in targets in its sector and geography. The same logic applies to carve-out sourcing, where the target is a division or unit a larger company is divesting rather than a standalone business. Both feed the same weekly cadence of direct founder conversations.

Will this reach owners before they go to auction?

That is the point of it. Trigger detection watches continuously for ownership, succession, hiring, funding, and growth signals, the events that move an owner toward a sale, so the firm is in conversation before a banker is engaged. Because you cannot find every signal online, the engine also runs genuine volume and relationship-building across the whole map, so when an owner does decide to move, you are already the name they know rather than one more bidder in a process.

Do we own the data and the relationships?

Yes. You receive the full mapped market as an owned asset: your universe, documented, with verified owner and decision-maker data, not a list rented from one vendor. Client portals and dashboards give live visibility into the mapped market, the pipeline, and every conversation. The founder relationships are the firm's, and they stay the firm's.

Discuss your acquisition thesis

Thirty minutes on your platform and add-on theses, your current origination coverage, and what this system would map for your market. If we are not confident it fits, we will say so.

Book a call

Confidential, and handled by the team that would run your mandate. Or read the client results, the detail on off-market deal sourcing, or what it costs first.

Related: sell-side origination for M&A advisors, pipeline for portfolio companies, and sourcing cybersecurity acquisitions.