S

Sourcescrub

Private Markets Intelligence & Deal Sourcing

AI InfrastructureDeal SourcingAIPrivate EquityM&A
Function:Deal Sourcing & Market Intelligence
Subfunction:AI-Powered Company Discovery & Due Diligence
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Founded
2015
Employees
~526 (LinkedIn), ~800 (reported)
Funding
3 funding rounds (specific amounts undisclosed)
Stage
$168 million revenue, Private (Acquired by Datasite August 2025\)
Report version: Oct 21, 2025

1. Products/Services & Features

  • Main Offerings:

    • AI-powered deal sourcing platform with access to 17M+ companies
    • SourcingGPT - Generative AI copilot for deal discovery
    • Market mapping, revenue estimation, and similar company matching
  • Feature Breakdown: Expert-in-the-loop ML, real-time company profiling, CRM integrations, browser extensions, API access, workflow automation, outreach tools, 290K+ data sources (Departments: Sales, Product, Engineering, Customer Success, Operations, Finance)

  • Business Industry Gearing: Highly geared toward private equity, M&A advisory, corporate development, investment banking

2. Security & Compliance

  • Certifications: Not publicly disclosed, No public ISO 27001 or GDPR certifications disclosed

  • Vendors/Tools: Not specified

  • Risk Profile:

    • Breaches: No public security breaches reported
    • Features: Data privacy agreements, technical and organizational safeguards referenced but lacking detailed public disclosure

3. User Feedback & Adoption

  • Aggregated Reviews: Highly rated on G2 and industry platforms

    • Pros: Accurate real-time data from niche sources, improved deal sourcing efficiency, strong customer support, unique and reliable dataset
    • Cons: High cost for smaller firms, steep learning curve, variable data accuracy across industries, complex search functionality
  • Adoption Insights:

    • Adoption Ease: Moderate - requires training due to complex interface but strong onboarding support
    • Adoption Cultural Fit: High - designed specifically for deal-making workflows in PE/M&A teams
  • Metrics: Strong retention among enterprise customers, high NPS in private equity segment

  • Barriers: Cost, learning curve, data accuracy variability, integration complexity

4. Monetization & Business Model

  • Revenue Model: SaaS subscription with tiered pricing based on usage and features

  • Pricing: Enterprise-focused pricing (specific tiers not publicly disclosed) (Sources: Direct sales model, custom enterprise pricing)

  • Market Context:

    • TAM: Global private markets intelligence market, estimated multi-billion dollar TAM
    • Growth Stage: Growth stage - consolidating market leadership

5. Leadership & Recent Developments

Name Description LinkedIn X Account
Prescott Nasser CEO and Co-Founder (2015-present, returned to CEO role in 2024 after Jim Obsitnik's tenure) https://www.linkedin.com/in/prescott-nasser/ https://twitter.com/prescottnasser
Tyler Fair Co-Founder and Board Member, former CEO (2015-2023), instrumental in company vision and development https://www.linkedin.com/in/tyler-fair/ https://twitter.com/tylerfair
Joshua Yulish Chief Revenue Officer (CRO), leads sales and revenue strategy https://www.linkedin.com/in/joshua-yulish/
  • Key Metrics Update:

    • Funding: Acquired by Datasite in August 2025 for integration with Grata
    • Employee Growth: Significant growth trajectory, expanded from startup to 800+ employees
  • News/Trends:

    • News Launch: Founded 2015, continuous product innovation including SourcingGPT launch
    • News Partnerships: Acquired by Datasite (August 2025), integration with Grata platform
    • News Funding: Mainsail Partners (2019), Francisco Partners (2021), Datasite acquisition (2025)
    • News Challenges: Integration with Datasite/Grata, market consolidation, maintaining product differentiation

6. Target Audience & Use Cases

  • Target Market: Private equity firms, M&A advisory firms, corporate development teams, investment banks

  • Target Users & Personas: Deal sourcing professionals, investment professionals, M&A specialists, corporate development executives

  • User Experience Level: Intermediate to Advanced - requires deal-making expertise

  • Key Use Cases:

    • Identifying acquisition targets for PE firms through AI-powered company discovery
    • Market mapping and competitive analysis for M&A advisory
    • Due diligence support and outreach automation for corporate development

7. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: Streamlines deal sourcing from weeks to days, automates company research, improves deal pipeline quality
    • ROI Examples: Reduced time-to-identify targets by 60-70%, improved deal quality, higher close rates on sourced deals
  • Fit Assessment: Excellent fit for enterprise PE/M&A teams; less suitable for smaller firms due to cost

  • Custom Rec Flags:

    • Priority ICP: Mid-market to large PE firms ($500M+ AUM), top-tier M&A advisory firms, corporate development at Fortune 500 companies
    • Short Term Goals: Integrate with Grata under Datasite umbrella, expand AI capabilities, maintain market leadership

8. Data Sourcing Notes

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