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Forreast Intelligence Report

Portfolio Intelligence Brief: Larkspur Venture Fund II

Generated August 9, 2026· Confidence: Medium-High· Type: portfolio_assessment· Forreast Score: 60

Executive Summary

Portfolio Intelligence Brief for Larkspur Venture Fund II (venture capital, $60M AUM). Forreast risk score: 60/100. Assessment covers portfolio composition, concentration analysis, risk factors, vulnerabilities, and 3-5 specific recommendations.

PORTFOLIO INTELLIGENCE BRIEF

Larkspur Venture Fund II

Classification: CONFIDENTIAL — Forreast Intelligence
Report ID: PIB-LARKSPURVENTUREFUNDII
Date: August 09, 2026
Prepared by: Forreast Intelligence — Portfolio Assessment Division

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I. EXECUTIVE SUMMARY

Entity: Larkspur Venture Fund II
Type: Venture Capital
AUM: $60M
Jurisdiction: Canada
Sector: Venture Capital
Forreast Risk Score: 60/100 (Moderate)
Assessment Trigger: Stalled follow-on reserves; partner departures.

This Portfolio Intelligence Brief presents an independent assessment of Larkspur Venture Fund II based on available intelligence signals, sector analysis, and portfolio risk modeling. The assessment identifies portfolio composition, concentration risks, key vulnerabilities, and actionable recommendations for portfolio improvement.

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II. PORTFOLIO COMPOSITION

Investment Strategy & Holdings

Series A-B venture capital fund with $60M AUM focused on North American technology investments. Fund II likely follows a successful Fund I, investing in 15-25 companies across enterprise software, marketplaces, and deep tech sectors. Strategy targets companies with product-market fit seeking growth capital.

Assets Under Management

At $60M in AUM, Larkspur Venture Fund II operates within the sub-$1B fund tier that is particularly sensitive to operational disruptions, talent transitions, and concentrated risk events. Funds in this AUM range typically lack the infrastructure depth of larger managers, making them more vulnerable to single-point failures and less able to absorb sustained drawdowns without triggering redemption cascades.

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III. PORTFOLIO CONCENTRATION ANALYSIS

Stalled follow-on reserves and partner departures indicate the fund is unable to participate in subsequent rounds for its portfolio companies. Partner departures reduce deal flow and portfolio management bandwidth. The fund may be too small ($60M) to maintain meaningful reserves while also making new investments.

Concentration Risk Assessment

DimensionRisk LevelNotes
GeographicHIGHCanada-based operations
SectorMODERATEVenture Capital concentration
PositionELEVATEDSignal-driven assessment
LiquidityELEVATEDFund-specific liquidity constraints

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IV. RISK FACTORS

The following risk factors have been identified through signal analysis and sector assessment:

1. Reserve inadequacy risk: Stalled follow-on reserves mean the fund cannot protect its pro-rata in winning companies, significantly reducing potential returns

2. Talent retention risk: Partner departures signal internal conflict or lack of confidence in the fund's trajectory

3. Fund size risk: $60M is small for Series A-B investing, creating tension between new investments and follow-on reserves

4. LP confidence risk: Partner departures combined with stalled reserves create a negative narrative that makes Fund III fundraising difficult

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V. POTENTIAL VULNERABILITIES

The partner departures are the most immediate vulnerability. In VC, partners are the product — they source deals, make investment decisions, and support portfolio companies. When partners leave, the remaining team must absorb their portfolio companies, board seats, and LP relationships. This is nearly impossible without a drop in quality. The stalled follow-on reserves compound this — the fund's best companies will seek capital elsewhere, and the fund will lose its ownership stake in its winners.

Vulnerability Summary

The primary vulnerability vectors identified for Larkspur Venture Fund II center on the intersection of operational transitions, concentration risk, and market stress. The fund's current signal profile — "Stalled follow-on reserves; partner departures." — indicates that multiple risk dimensions are converging simultaneously, which historically creates a higher probability of cascading failure than any single risk factor alone would suggest.

Confidence Level: Medium-High
Signal Sources: Intelligence pipeline, sector analysis, ICP distress detection
Assessment Date: 2026-08-09

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VI. RECOMMENDATIONS FOR IMPROVEMENT

The following recommendations are prioritized by urgency and impact:

Recommendation 1

Conduct an immediate portfolio company review with focus on: which companies are raising rounds, what pro-rata the fund holds, and which departures most impact which portfolio companies

Recommendation 2

Develop a partner departure transition plan covering board seat reassignment, LP relationship transfer, and deal pipeline continuity

Recommendation 3

Create a follow-on reserve strategy that identifies the top 5 portfolio companies requiring follow-on and models the dilution impact of non-participation

Recommendation 4

Implement a real-time portfolio company signal monitoring system tracking ARR growth, burn rate, runway, key personnel changes, and competitive positioning

Recommendation 5

Engage an external intelligence platform to provide continuous monitoring of portfolio company health, sector financing trends, and comparable company performance for portfolio benchmarking

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VII. INTELLIGENCE ENGAGEMENT OPPORTUNITY

Forreast Intelligence offers a comprehensive Portfolio Intelligence Engagement that provides:

  • Continuous Signal Monitoring: Real-time tracking of portfolio-relevant signals across 12 signal types and 21 intelligence disciplines
  • Portfolio Risk Dashboards: Dynamic risk visualization with concentration, liquidity, and drawdown metrics
  • Sector & Market Intelligence: Deep sector analysis with forward-looking risk indicators
  • Peer Benchmarking: Anonymous peer comparison across strategy and AUM tier
  • Catalyst Tracking: Monitoring of upcoming events, regulatory deadlines, and market triggers relevant to portfolio positions
  • Engagement Structure

    TierScopeDeliverables
    AssessmentOne-timeThis brief + custom deep-dive on top 3 risks
    MonitoringQuarterlySignal updates, risk re-scoring, peer benchmarking
    Intelligence PartnershipContinuousFull platform access, dedicated analyst, custom research

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    VIII. METHODOLOGY & SOURCES

    This assessment was produced using the Forreast Intelligence Platform v7.0, incorporating:

  • 12 Signal Types: Financial distress, algorithmic regime, political-geographic, operational disruption, cyber incident, ownership change, lifecycle change, legal-regulatory, social narrative, news media, court records, and market data signals
  • 21 Intelligence Disciplines: SIGINT, OSINT, FININT, GEOINT, and related intelligence collection frameworks
  • 50+ Signal Assessment Tools (SATs): Automated detection and scoring algorithms
  • 12-Layer Architecture: Signal collection through intelligence fusion to actionable assessment
  • Data Limitations: This brief was produced from available intelligence signals and sector-level analysis. Fund-specific holdings data, performance attribution, and internal risk metrics were not available. A full intelligence engagement would incorporate direct portfolio data for higher-confidence assessment.

    Falsification Conditions: This assessment would be proven wrong if: (1) the fund has already addressed the identified risks through internal measures, (2) the identified signals have been resolved since detection, or (3) additional data shows the fund's risk profile is materially different from signal-based inference. Re-assessment recommended within 90 days.

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    This Portfolio Intelligence Brief is a confidential deliverable of Forreast Intelligence. It is based on publicly available signals, sector analysis, and intelligence pipeline data. It does not constitute investment advice or a solicitation. All assessments are probabilistic and subject to revision as new signals emerge.

    © Forreast Intelligence — 2026

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