For portfolio companies
The same engine, pointed at a portfolio company's pipeline.
The infrastructure that finds your acquisition targets does the same work for the companies you already own. We map a portfolio company's addressable market, score the buyers that fit, and open qualified conversations with decision-makers, run by the team behind 110+ B2B companies. Customer pipeline as a value-creation lever, without building a sales team from scratch.
One origination engine, two jobs
Sourcing a deal and building a portfolio company's pipeline are the same problem in different clothes. You define who fits, you find the full universe, you reach the right person before a competitor does. The engine does not care whether the target is an owner considering a sale or a buyer considering a purchase.
Find owners ready to move
Pointed at an investment thesis to surface acquisition targets before they reach a broker.
- Target: owners and founders fitting the thesis
- Signal: ownership, succession, growth triggers
- Outcome: direct founder conversations, off-market
Find buyers ready to act
Pointed at an ideal customer profile to surface qualified demand for a company you already own.
- Target: decision-makers fitting the customer profile
- Signal: hiring, funding, tooling, growth triggers
- Outcome: qualified sales conversations, on cadence
Same data layer, same fit scoring, same trigger detection, same operator-checked outreach, same deliverability stack. Only the targeting criteria change. That is why a fund that already trusts the engine for sourcing can extend it across the portfolio without onboarding a new vendor.
The five layers, retargeted to revenue
The structure is identical to the deal-sourcing engine. Here is what each layer does when the target is a portfolio company's customer rather than an acquisition. AI does the work that scales. Operators do the work that matters.
Read the full engine breakdown, layer by layer
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01 Map AI
The full universe of buyers that fit
We translate the company's ideal customer profile, industry, size, geography, and buying role, into a market map built from 16+ databases plus our own web scraping, with verified decision-maker data attached. Not the slice a small sales team can work, the whole addressable market.
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02 Score AI
Fit scoring, 0 to 100
A proprietary model scores every account against 50+ signals, so the company's best-customer pattern becomes machine-readable targeting rather than a hunch. Scoring decides where attention goes first and lets you test segments and messaging against each other.
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03 Detect AI
Triggers that mean a buyer is in-market
Continuous monitoring for hiring, funding, leadership change, tooling shifts, and growth inflections, the events that move an account toward a purchase. You reach the buyer while the need is live, not on a generic quarterly blast.
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04 Engage Operator-led
Outreach an operator stands behind
Our system drafts and personalises at scale, then an operator reviews every buyer-facing message before it sends and handles the replies. The outreach reads like a person who understands the company's market, not a generic AI SDR. This is the guardrail an autonomous tool does not have.
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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 company and the fund own the asset rather than renting a black box.
The track record behind it
Proven across the industries private equity owns
The engine was built and refined inside Danish Lead Co, the group behind DealSource Systems, running B2B origination for 110+ companies before it was ever pointed at deal flow. That operating-company volume is the proof that it works on a portfolio company's pipeline.
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Manufacturing and industrials
Long sales cycles, named accounts
Mapping a finite universe of qualified buyers and reaching the right plant, procurement, or operations decision-maker directly, where a thin list and a generic blast get nowhere.
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B2B software and SaaS
High-velocity, signal-rich pipeline
Trigger detection earns its keep when buying intent moves fast. Hiring, funding, and tooling signals point outreach at accounts while the need is live rather than after the budget closes.
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Healthcare services
Specialised, relationship-led markets
The same engine that produced 133 founder conversations for Merritt Healthcare Advisors works the buyer side of a healthcare services company with the same discipline and the same operator judgment.
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Agencies and professional services
Reputation-sensitive outreach at volume
Where a careless AI SDR would damage a brand, operator-checked messaging lets a services business reach its market at volume without sounding like one. Coverage and credibility at the same time.
A value-creation lever, ready in weeks
Organic growth is one of the cleanest ways to create value in a hold period, and pipeline is usually the slowest part of it to staff. Standing infrastructure starts commercial momentum without the year it takes to build a sales team.
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Speed
Momentum from the first weeks
Full coverage of the addressable market without hiring, ramping, and managing a team first. Conversations begin while the value-creation plan is still being written, not a year into ownership.
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Scale
One relationship across the portfolio
Operating partners can roll the same infrastructure across multiple portfolio companies, with consistent reporting and one point of contact, instead of negotiating a separate vendor for each business.
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Owned asset
Pipeline that carries into the exit
The company keeps the mapped market, the verified buyer data, and the relationships as an owned asset. A documented, working pipeline is worth more at exit than a backlog that walks out with one rep.
Questions from funds and operating partners
How is this different from the deal sourcing service?
It is the same engine pointed at a different target. For deal sourcing we map the universe of companies that fit an investment thesis and open conversations with owners. For a portfolio company we map the universe of buyers that fit its ideal customer profile and open conversations with decision-makers. The data layer, the fit scoring, the trigger detection, the operator-checked outreach, and the deliverability stack are identical. Only the targeting criteria change.
Does this only work for B2B portfolio companies?
It is built for B2B revenue, where buyers can be identified, scored, and reached directly. That covers most of what private equity owns: manufacturing and industrials, B2B software, healthcare services, professional and marketing services, and similar models. Danish Lead Co, the parent company, has run this across all of those categories for 110+ companies. It is not built for consumer or transactional retail demand generation.
Who runs it, the fund or the portfolio company?
Either. Operating partners and value-creation teams engage us at the fund level to roll the same infrastructure across multiple portfolio companies, with one relationship and consistent reporting. A single portfolio company can also engage us directly. In both cases the company keeps the mapped market, the verified buyer data, and the relationships as an owned asset, with live portal visibility into the pipeline.
How does this fit a value-creation plan?
Pipeline is one of the clearest organic-growth levers in a hold period, and it is usually the slowest to staff. Standing origination infrastructure gives a portfolio company full coverage of its addressable market without the time and cost of building a sales team from scratch, so commercial momentum starts in the first weeks of ownership rather than after a year of hiring. The mapped market and the relationships also carry value into an exit.
What track record backs this for operating companies?
Danish Lead Co, the group behind DealSource Systems, has run B2B origination for 110+ companies across manufacturing, SaaS, healthcare, and agencies, generating more than 10,000 qualified conversations and over 30 million dollars in attributed pipeline. The deal-sourcing engine on this site is the same infrastructure, refined on that operating-company volume and then pointed at acquisition targets.
Put the engine on a portfolio company
Thirty minutes on one portfolio company's market, its ideal customer profile, and what the engine would map and reach. Bring a single business or the whole portfolio. If we are not confident it fits, we will say so.
Confidential, and handled by the team that would run the work. Or read the client results first.
Related: deal sourcing for private equity and sell-side origination for M&A advisors.