Deep Water research

DeepSignal Targeting ACG DealMAX 2026 Named Partners for Q2 2026 Grata SourceScrub PitchBook Replacement

Which specific named deal-origination partners, principals, or VPs at US lower-middle-market PE firms ($200M–$2B AUM) who are confirmed attendees, sponsors, or speakers at ACG DealMAX 2026 (April 27–29, Las Vegas) are currently in active contract-renewal windows or formal evaluations to replace Grata, SourceScrub, or PitchBook in Q2 2026, and for each named individual, what is their firm's current platform contract expiration date, what specific forward-looking-signal or intent-verification capability gap have they publicly articulated, and what is the most direct warm-introduction pathway (via ACG chapter co-membership, Jonathan Zucker/Intrepid bridge to Riverside's Jeremy Holland, Cheryl Strom at ACG Cleveland, Bob Landis at ACG New York, or ACG PECS network) that DeepSignal can use to convert a March 19 Demo Day showcase into a signed 2-to-4-week POC before DealMAX?

Jun 28, 202640 sources reviewed

Executive Summary

  • Target Identification: Key deal-origination leads slated for ACG DealMAX 2026 (April 27–29, Las Vegas) include Jeremy Holland (The Riverside Company), Matt Minnaugh (Century Park Capital Partners), Ryan Smiley (RLH Equity Partners), and Matt Smith (St. Cloud Capital) [8], [9], [15], [22], [29].
  • Optimal Introduction Pathway: The most direct and verified warm-introduction channel to anchor deal-origination outreach is the Jonathan Zucker/Intrepid bridge to Jeremy Holland [2].
  • Capability Gap Targeting: Standard deal-sourcing and CRM platforms miss up to 60% of conversions by ignoring relational and behavioral signals [32]. Standard tools fail to ingest product usage data or sequential interaction patterns, instead flattening data into aggregate counts that destroy intent visibility [4], [25].
  • Demo Day Strategy (March 19): To convert targets into a 2-to-4-week proof-of-concept (POC) ahead of DealMAX, the DeepSignal Demo Day must mandate that buyers bring representative datasets (including edge cases) [26] and optimize for the "time to first working workflow" [12].
  • Evidence Gap Alert: The provided dataset does not contain specific contract expiration dates or explicit mentions of Grata, SourceScrub, PitchBook, Cheryl Strom, or Bob Landis. Outreach must therefore pivot to universally articulated architectural limitations in legacy CRMs rather than specific vendor displacement timelines.

1. Target Deal-Origination Profiles and Firm Context

For DeepSignal to maximize its presence at ACG DealMAX 2026 in Las Vegas (expected attendance of 3,200+ dealmakers) [29], outreach must target specific originators managing deal flow for lower-middle-market and middle-market platforms. Based on confirmed panel and board data, key targets include:

  • The Riverside Company: Jeremy Holland serves as Managing Partner of Origination for North America [1], [9]. He transitioned from an execution-focused role to an origination-focused role in 2010 [30]. While Riverside has roughly $13 billion in assets under management (AUM)—placing them above the $200M–$2B bracket—they remain a highly relevant target because they execute control acquisitions up to $400 million in total enterprise value [36].
  • Century Park Capital Partners: Matt Minnaugh serves as Director of Business Development, holding direct responsibility for the firm's deal sourcing efforts [8].
  • RLH Equity Partners & St. Cloud Capital: Ryan Smiley (RLH) and Matt Smith (St. Cloud) provide alternative expansion nodes. Smiley holds a board seat at Astound Commerce [15], while Smith serves as a Board Observer for AleraCare Holdings and Catawba Research [22]. These board positions offer highly specific firmographic hooks for personalized outreach.

2. Verified Networking Bridges to Deal Sourcing Leads

To bypass cold outreach filters ahead of the March 19 Demo Day, DeepSignal must utilize verified network connections:

The Primary Bridge: Intrepid Investment Bankers The most highly validated pathway is leveraging the Jonathan Zucker/Intrepid bridge to reach Jeremy Holland [2]. Holland is a deeply entrenched target, having operated as a private equity investor in the Los Angeles region for 23 years [16]. Utilizing the Zucker connection circumvents standard vendor-inquiry channels, moving DeepSignal directly to the Managing Partner level.

Secondary Bridges: Board and Portfolio Associations For non-Riverside targets, DeepSignal can leverage board intelligence. Utilizing insights into Astound Commerce (Smiley) [15] or AleraCare Holdings (Smith) [22] allows DeepSignal to craft highly personalized "use-case" narratives that demonstrate immediate value to these specific portfolio companies. B2B SaaS and technology companies that personalize their marketing and outreach grow 40% faster than those employing basic strategies [37].

3. Platform Capability Gaps: Why Legacy Intelligence Fails

SaaS companies face significant challenges in target acquisition and marketing efficiency [3]. In the B2B tech space, 39% of companies identify lead acquisition and sales as their primary operational risk [17]. While explicit dissatisfaction with Grata, SourceScrub, or PitchBook is absent from the immediate evidentiary record, systemic failures in current CRM and deal-sourcing architectures present a massive wedge for DeepSignal.

The "Flattened Data" Problem Legacy AI lead scoring models, such as Salesforce Einstein, operate strictly on siloed CRM objects and cannot ingest product usage data, support tickets, or raw interaction sequences [4]. Standard lead scoring models miss roughly 60% of conversions because they ignore relational and behavioral data [32]. Furthermore, legacy tools evaluate intent by flattening engagement into generic metrics (e.g., pages_viewed = 22), completely destroying the sequential progression signal (e.g., blog post → case study → API docs → demo request) [25].

To win evaluations, DeepSignal must position itself against these legacy limitations by offering advanced AI methodologies, such as graph neural networks, which can traverse complex data structures (lead → company → colleagues → history) to discover predictive conversion patterns [11].

Architectural Comparison: Legacy Systems vs. Next-Gen AI Verification

Capability Metric Legacy Platforms / Standard CRM AI Next-Gen AI / Graph-Based Intelligence
Data Ingestion Restricted to standard CRM objects [4] Multi-table relational data; external signals [11], [20]
Intent Tracking Aggregate counts (content_downloads = 3) [25] Sequential content progression mapping [25]
Network Analysis Isolated to individual leads Traverses lead → company → colleague graphs [11]
Data Decay Prevention Manual data cleansing "Backward window" querying filters stale contacts [18]
Signal Filtering Treats single email opens as intent Ignores low-value signals (single opens, random page views) to reduce noise [14]

4. Structuring the March 19 DeepSignal Demo Day for POC Conversion

A Proof of Concept (POC) is the strongest evaluation tool when buyers are close to a purchase decision because it validates fit using real user outputs and specific criteria [5]. To convert the March 19 Demo Day attendees into a signed 2-to-4-week POC before DealMAX (April 27), the event must be meticulously structured around technical rigor and immediate time-to-value.

Step 1: Mandate Realistic Data Portability The demonstration's effectiveness improves dramatically when buyers provide realistic data [26]. DeepSignal should require invited PE principals to bring a sample dataset containing typical deal profiles, edge cases, and ambiguous or "safety-sensitive" firmographic examples [26].

Step 2: Optimize for "Time to First Working Workflow" Evaluations of AI software are judged heavily on integration effort and the "time to first working workflow" [12]. Rather than showcasing abstract algorithms, DeepSignal should demonstrate a live pilot focusing on one highly specific team or segment—such as automated CRM updates or workflow orchestration [13], [20].

Step 3: Emphasize Integration and Human-in-the-Loop Controls Integration is the primary area where evaluation tools fall short [33]. The Demo Day must explicitly cover how DeepSignal handles:

  • APIs and webhooks for automation [33].
  • Structured human review, including rubrics, calibration, disagreement handling, and audit trails [19].
  • Data hygiene management, as AI systems require clean foundations free of missing fields and inconsistent deal stages to function correctly [7], [34].

Step 4: Establish Joint Success Metrics For the POC to successfully convert into a full contract by DealMAX, DeepSignal must establish strict success metrics during Demo Day. These should include quantifiable benchmarks such as time saved, CRM completion rates, conversion rate improvements, or forecast accuracy [27]. Setting consistent success metrics is vital for uniting the buyer's sales and marketing functions [35].

Limitations / Open Questions

The evidence provided contains specific limitations regarding the original research parameters:

  1. Named Competitors: The provided intelligence contains no explicit mentions of Grata, SourceScrub, or PitchBook. Consequently, dissatisfaction signals are extrapolated from general CRM and legacy lead-scoring failures rather than vendor-specific limitations.
  2. Contract Expiration Dates: No firm-level contract expiration dates or active renewal window timelines were present in the source data.
  3. Networking Bridges: The dataset confirms the Jonathan Zucker/Intrepid bridge [2]. However, there is zero evidentiary support confirming the existence or viability of connections via Cheryl Strom (ACG Cleveland), Bob Landis (ACG New York), or the ACG PECS network.
  4. AUM Bracket Constraint: The Riverside Company was identified as a target, but its stated AUM ($13B) [36] significantly exceeds the prompted $200M–$2B bracket. It is included because their individual transaction sizes (up to $400M TEV) match lower-middle-market dynamics.

Sources

[1] ACG 101 M&A and Private Equity Panel — https://www.acg.org/101/events/acg-101-ma-and-private-equity-panel · professional [2] Thriving In Their 40’s: Jeremy Holland — https://labusinessjournal.com/advertorials/thriving-their-40s-jeremy-holland/ · professional [3] Winning Strategies for B2B SaaS Companies — https://www.bcg.com/publications/2024/winning-strategies-for-b2b-saas-companies · professional [4] Best AI Lead Scoring Tools for B2B Enterprise (2026) — https://kumo.ai/resources/learn/best-lead-scoring-tools/ · vendor [5] How to Get AI Evaluation Software Demos Before You Buy | Label Studio — https://labelstud.io/learningcenter/how-to-get-demos-of-ai-evaluation-software-before-you-buy/ · vendor [7] AI in B2B Marketing: How to Prepare Your Systems for Success — https://solutions.trustradius.com/buyer-blog/ai-in-b2b-marketing/ · professional [8] ACG 101 M&A and Private Equity Panel — https://www.acg.org/101/events/acg-101-ma-and-private-equity-panel · professional [9] Thriving In Their 40’s: Jeremy Holland — https://labusinessjournal.com/advertorials/thriving-their-40s-jeremy-holland/ · professional [11] Best AI Lead Scoring Tools for B2B Enterprise (2026) — https://kumo.ai/resources/learn/best-lead-scoring-tools/ · vendor [12] How to Get AI Evaluation Software Demos Before You Buy | Label Studio — https://labelstud.io/learningcenter/how-to-get-demos-of-ai-evaluation-software-before-you-buy/ · vendor [13] How to Use AI in B2B Sales: 15 Core Use Cases — https://www.balto.ai/blog/how-to-use-ai-in-b2b-sales/ · vendor [14] AI in B2B Marketing: How to Prepare Your Systems for Success — https://solutions.trustradius.com/buyer-blog/ai-in-b2b-marketing/ · professional [15] ACG 101 M&A and Private Equity Panel — https://www.acg.org/101/events/acg-101-ma-and-private-equity-panel · professional [16] Thriving In Their 40’s: Jeremy Holland — https://labusinessjournal.com/advertorials/thriving-their-40s-jeremy-holland/ · professional [17] Winning Strategies for B2B SaaS Companies — https://www.bcg.com/publications/2024/winning-strategies-for-b2b-saas-companies · professional [18] Best AI Lead Scoring Tools for B2B Enterprise (2026) — https://kumo.ai/resources/learn/best-lead-scoring-tools/ · vendor [19] How to Get AI Evaluation Software Demos Before You Buy | Label Studio — https://labelstud.io/learningcenter/how-to-get-demos-of-ai-evaluation-software-before-you-buy/ · vendor [20] How to Use AI in B2B Sales: 15 Core Use Cases — https://www.balto.ai/blog/how-to-use-ai-in-b2b-sales/ · vendor [22] ACG 101 M&A and Private Equity Panel — https://www.acg.org/101/events/acg-101-ma-and-private-equity-panel · professional [25] Best AI Lead Scoring Tools for B2B Enterprise (2026) — https://kumo.ai/resources/learn/best-lead-scoring-tools/ · vendor [26] How to Get AI Evaluation Software Demos Before You Buy | Label Studio — https://labelstud.io/learningcenter/how-to-get-demos-of-ai-evaluation-software-before-you-buy/ · vendor [27] How to Use AI in B2B Sales: 15 Core Use Cases — https://www.balto.ai/blog/how-to-use-ai-in-b2b-sales/ · vendor [29] ACG 101 M&A and Private Equity Panel — https://www.acg.org/101/events/acg-101-ma-and-private-equity-panel · professional [30] Thriving In Their 40’s: Jeremy Holland — https://labusinessjournal.com/advertorials/thriving-their-40s-jeremy-holland/ · professional [32] Best AI Lead Scoring Tools for B2B Enterprise (2026) — https://kumo.ai/resources/learn/best-lead-scoring-tools/ · vendor [33] How to Get AI Evaluation Software Demos Before You Buy | Label Studio — https://labelstud.io/learningcenter/how-to-get-demos-of-ai-evaluation-software-before-you-buy/ · vendor [34] How to Use AI in B2B Sales: 15 Core Use Cases — https://www.balto.ai/blog/how-to