Your deal flow
has a ceiling.
We remove it.

Institutional Knowledge & Messaging

We start by transforming your platform’s past experience into an institutional playbook. Investment thesis refinement, historical deal analysis, and full review of every operator who previously had contact with your platform — declined deals included.

We interview founders who have already partnered with you to build precision sourcing assets: testimonials, transition stories, and day-one access inventories. These are not marketing collateral. They are instruments for neutralizing the specific fears that kill deals before they start.

Ruthless Prioritization

Deep market categorization by geography, tier, and strategic fit. We map every relevant broker, banker, vendor, and advisor relationship in your target markets and concentrate resources on the highest-compounding opportunities.

AI-Driven Sourcing Intelligence

Our proprietary operator database is enriched through AI-assisted research scanning continuously for predictive seller signals: aging ownership, leadership transitions, stalled hiring, portfolio stagnation, declining online presence. Targeting shifts from identifying who is for sale to identifying who will be for sale.

Reed’s Own Infrastructure — Deployed From Day One

We don’t ask the client to risk their brand while we figure out what works. We deploy Reed’s own battle-tested assets immediately: 9-email outreach sequences, 4 warmed LinkedIn profiles with established credibility, and a content library built around founder success stories from operators who have already sold. The client sees results before they put anything of their own on the line.

Ops Team Content as a Sourcing Weapon

Most firms lock their ops team assets until after the close. We deploy them at the front of the funnel. We work with your ops team to develop and deploy founder success content — testimonials, portfolio performance benchmarks, expert network access — as front-of-funnel trust signals that no sourcing firm can replicate. Prospects don’t just evaluate your thesis. They evaluate what life looks like on the other side of the close. Your ops team is the answer to that question.

Direct Outreach & In-Person Acceleration

Multi-channel sequences run simultaneously: direct calling, roadshows, and targeted conference deployment. Market visits stack 10–15 meetings across 48 hours. Conferences yield 30–50 scheduled conversations per event. Calendars are booked before we arrive.

Lean From Day One

Most firms face a choice: hire a dedicated AI engineer or bolt on off-the-shelf tools that don’t know their deal process. I do neither. It’s myself and one dedicated AI support specialist — keeping the infrastructure lean, calibrated to your specific criteria, and focused on what actually moves deals forward. The overhead that has no business being done manually gets automated. The judgment calls stay human.

Agents That Compound Over Time

As the engagement matures and deal flow data accumulates, purpose-built agents are introduced progressively across three squads: sourcing and intelligence, outreach and engagement, and analysis and diligence. Each agent is calibrated to your specific acquisition criteria and market footprint — not generic tooling dropped into a process it doesn’t understand.

Built Inside Your Systems

Every workflow is built within the client’s existing tech stack where possible, documented throughout the engagement, and fully operational before handoff. No black boxes. No dependency on us to keep the lights on.

Expand Across the BD Team

Once the model is working, I replicate it across your existing BD team. New LinkedIn profiles built and warmed. New email infrastructure created and sequenced. Content systems replicated across every rep. Each BD steps into a running operation that books appointments for them.

Ongoing AI Refinement

The agents built in Step 3 get smarter as deal flow data accumulates. The system at month nine is materially more capable than month one. New tools are evaluated and integrated as the infrastructure landscape evolves — so the client never inherits a static system that ages out.

Market Expansion & Continuity

Once the model is working in one geography or operator profile, it replicates into new targets systematically. During slower capital cycles, the engagement shifts to relationship maintenance — keeping the pipeline warm so when capital is ready to deploy again, qualified conversations are already in motion.