Startup Diligence
Diligence report Active cyber insurance, cybersecurity and insurtech Private unicorn / growth-stage active insurance provider

Coalition

Coalition Startup Diligence Report

Proceed only to confirmatory diligence. The attractive thesis is a differentiated active-insurance platform in a growing cyber-insurance market; the gating questions are underwriting profitability, reinsurance/capacity resilience, defensible data/AI efficacy, efficient broker/partner distribution, regulatory/legal hygiene and current valuation/cap-table economics.

Company profile

Coalition Startup Diligence Report

Coalition appears to be a scaled private unicorn operating at the intersection of cyber insurance, cybersecurity, data and AI. Public evidence verifies historical financings, broad product scope, carrier/licensing infrastructure, large policyholder/customer claims and a major Allianz partnership. Core investment diligence remains unresolved because audited financials, loss economics, current valuation, customer concentration, GTM efficiency, contracts, legal/regulatory files and technology validation are private.

Website
www.coalitioninc.com
Sector
Active cyber insurance, cybersecurity and insurtech
Geography
United States headquartered with public global operations and partnerships
Stage
Private unicorn / growth-stage active insurance provider
Known aliases
Coalition, Coalition Inc., Coalition Insurance Solutions, Coalition Insurance Company, Coalition Control, Coalition Security, Wirespeed
Report version
1.0
Timezone
UTC

Executive summary

Strengths

  • Coalition has verified public historical financing milestones, including a more-than-$3.5B Series E valuation and $250M Series F announcement.
  • Coalition publicly markets an active-insurance platform combining insurance, Control, Active Data Graph, CoalitionAI and Wirespeed/security capabilities.
  • Coalition has visible carrier/licensing infrastructure and a public strategic global partnership with Allianz.

Risks

  • Financial quality, loss economics and runway are not publicly verifiable.
  • Cyber-insurance losses can be volatile, severe and correlated.
  • Technology, AI and data-advantage claims are company-published and need independent validation.
  • Carrier/reinsurer/Allianz relationships can create capacity and execution dependency.

Gaps

  • Audited financials, actuarial loss data, reserves, reinsurance economics, cash/debt and forecast model.
  • Current cap table, preferences, strategic rights, option pool, debt and valuation support.
  • Customer/policyholder reconciliation, top accounts, churn, retention, broker/channel concentration and reference calls.
  • GTM efficiency: CAC, payback, quote-to-bind, commissions, quota attainment and S&M budget.
  • Technical diligence: data lineage, model validation, security controls, privacy assessments and IP chain.
  • Legal/regulatory diligence: licenses, appointments, policy forms, material contracts, dockets, regulator correspondence and privacy/GLBA compliance.

Recommended next steps

  • Open confirmatory financial/actuarial diligence before relying on historical unicorn valuation.
  • Run legal/regulatory review of licenses, carrier/reinsurance agreements, Allianz terms, privacy/GLBA and material contracts.
  • Validate data/AI/security product efficacy with technical review, model governance artifacts, claims triangulation and customer references.
  • Reconcile customer/policyholder definitions and test GTM efficiency by channel, broker and geography.

Risk register

critical medium likelihood

R-003: Cyber loss volatility and accumulation risk

Ransomware, BEC/FTF, cloud outages, AI-enabled attacks and systemic cyber events can create correlated losses.

Diligence request: Review underwriting guidelines, accumulation modeling, reinsurance treaties, claims triangles and stress tests.

high high likelihood

R-004: Crowded active cyber insurance and security market

At-Bay, Cowbell, Resilience and incumbents market overlapping cyber-insurance-plus-security propositions.

Diligence request: Request win/loss, renewal, pricing, competitive displacement and broker/customer reference evidence.

high medium likelihood

R-005: Technology, AI and data efficacy is company-published

Active Data Graph, CoalitionAI and Wirespeed metrics are not independently validated in public materials.

Diligence request: Conduct technical diligence on model performance, telemetry, security controls, IP ownership and product reliability.

high medium likelihood

R-007: Carrier, reinsurer and Allianz execution dependency

Strategic carrier relationships can accelerate growth but introduce approval, capacity, exclusivity and counterparty risk.

Diligence request: Review carrier contracts, reinsurance treaties, approval status, termination rights and concentration limits.

high medium likelihood

R-009: Regulatory, privacy and data-governance complexity

Coalition operates across insurance licensing, privacy/GLBA, scanning, claims data and AI workflows.

Diligence request: Counsel should verify licensing, regulator correspondence, privacy controls, data-rights inventory and AI governance.

high unknown likelihood

R-001: Private financial quality is not publicly verifiable

Audited financials, cash/debt, loss ratio, gross margin, ARR, budget-to-actuals and projections were not public.

Diligence request: Require complete finance data room, actuarial pack and QoE review.

high unknown likelihood

R-006: Customer/revenue concentration and churn unknown

Aggregate policyholder counts are public, but top accounts, broker concentrations, churn, retention and revenue by customer are private.

Diligence request: Request customer cohort file, top 50 accounts, broker/channel production, churn and NRR/renewal data.

medium medium likelihood

R-002: Historical unicorn valuation may not equal current value

Public valuation anchors date to 2021/2022; current valuation, preferences and dilution are unknown.

Diligence request: Review financing documents, current cap table, preferences, debt, option pool and recent secondary/409A data.

Chapter 01

01Financial Information

Public evidence verifies major historical financings and a unicorn valuation anchor, but audited financials, current valuation, loss economics, cash/debt and projections remain private.

I.A Annual and quarterly financial information for the past three years

not publicly verifiable confidence: high

No audited annual or quarterly financial statements, management accounts, backlog, AR aging, product/geography gross profit, cash/debt or loss ratio data were public.

Evidence gaps

  • Audited financial statements, monthly management accounts, ARR/revenue/premium bridge, loss triangles, cash/debt and budget-to-actuals.

Hidden risks

  • Insurance premium growth can mask loss-ratio or reinsurance-cost deterioration.
  • Cash burn, solvency and debt obligations cannot be assessed publicly.

Follow-up questions

  • Provide audited financials, monthly KPI pack, cash/debt schedule, loss ratio, reinsurance economics and QoE support.
Financial diligence matrix
Diligence itemPublic statusRiskRequest
Audited financials and quarterly accountsNot publicCannot assess revenue quality, gross margin, cash burn or solvency.Audited financials, monthly management accounts and QoE.
Premium, revenue and loss economicsSeries E disclosed $325M run-rate premium; current loss ratio private.Premium growth may not translate to underwriting profit.Premium/revenue bridge, loss triangles, reserves and reinsurance economics.
Capital structureMajor rounds public; cap table private.Preferences, option pool, debt or strategic rights could affect returns.Cap table, charter, financing docs and 409A history.

Financial conclusions are intentionally conservative because no private accounting materials were available.

I.B Financial Projections

not publicly verifiable confidence: high

No public forecast, budget, plan-vs-actual, valuation bridge or sensitivity model was located.

Evidence gaps

  • Board-approved model, actuarial plan, budget-to-actuals, growth assumptions and downside cases.

Hidden risks

  • Headline financing could obscure future dilution or valuation reset risk.

Follow-up questions

  • Provide three-year forecast, unit economics, loss-ratio sensitivity, reinsurance assumptions and valuation bridge.
Funding and valuation chronology
DateEventPublic metricsDiligence implication
2021-03-17Series D$175M; $1.75B valuation; 42,000+ customersVerify security rights, preferences and dilution from Series D.
2021-09-28Series E$205M; valuation more than $3.5B; 52,000+ customers; $325M run-rate premiumReconcile valuation, premium run-rate and customer definition.
2022-07-11Series F$250M investment; 160,000+ SMBs in North AmericaReview post-money, preferences, strategic rights and current ownership.

Current valuation beyond the verified historical $3.5B+ anchor was not independently verified in accessible public sources.

Coalition financing and strategic timeline Timeline of public financing, customer-scale and strategic milestones.
Public valuation and customer-scale milestones Mixed milestone chart showing public valuation and customer/policyholder figures from financing and claims materials.

This chart is illustrative; do not interpret as continuous customer trend.

I.C Capital structure

partially verified confidence: medium

Public sources identify major rounds and investors but not cap table, preferences, warrants, debt, option pool, pro forma ownership or current 409A.

Evidence gaps

  • Current cap table, charter, investor rights, option pool, debt/warrants and strategic investor rights.

Hidden risks

  • Liquidation preferences, participating preferred, side letters or strategic rights could materially affect common/equity economics.

Follow-up questions

  • Provide full cap table, charter, stock purchase agreements, side letters, debt instruments and option ledger.

I.D Other financial information

not publicly verifiable confidence: medium

Tax, insurance reserves, reinsurance recoverables, regulatory capital, solvency filings, payables and related-party transactions were not public.

Evidence gaps

  • Tax returns, regulatory filings, actuarial opinions, reserve triangles, reinsurance recoverable schedule and related-party disclosures.

Hidden risks

  • Reserve adequacy, adverse development, capital requirements or reinsurance recoverability could create hidden liabilities.

Follow-up questions

  • Provide statutory/GAAP reconciliations, reserve analysis, tax materials and related-party transaction schedule.
Chapter 02

02Products

Coalition publicly markets an integrated active-insurance platform combining insurance products, Control, incident response, security training, Active Data Graph, CoalitionAI and Wirespeed ADR.

II.A Product descriptions

partially verified confidence: medium

Public pages verify a broad product suite and claims of risk reduction; diligence should verify attach, revenue mix, loss-ratio impact and technology efficacy.

Evidence gaps

  • Product-level revenue, attach, usage, NPS, retention, gross margin, loss-ratio impact and roadmap.

Hidden risks

  • If security products do not materially reduce claims, underwriting margins and differentiation may compress.
  • AI/security features can introduce model, privacy, support and incident-response liabilities.

Follow-up questions

  • Provide product P&L, attach/usage cohorts, loss-reduction methodology, product roadmap and technical diligence materials.
Public product and coverage portfolio
Product familyPublic evidencePrimary diligence question
InsuranceCyber insurance, technology E&O, AI coverage, executive risks and MPL appear in public navigation/products.Revenue/premium mix, policy wording, loss ratio and attachment by product.
Risk platformCoalition Control includes cyber health rating, attack surface monitoring, third-party risk and zero-day alerts.Usage, engagement, attach, churn impact and claim-reduction causality.
Security/responseWirespeed ADR, incident response and security awareness training are marketed in public navigation.Revenue model, MDR/ADR performance, incident-response quality and integration costs.
Product validation and claims matrix
ClaimPublic supportValidation gap
Reduced claims frequency73% fewer claims than industry average.Industry benchmark, denominator, time period and causality.
Claims outcomes64% of closed claims with no out-of-pocket loss; $21.8M recovered in 2026 report.Closed-claim definition, claims severity mix and recovery methodology.
Control/data advantageControl powered by claims data from 100,000+ policyholders.Usage rates, alert efficacy and model performance.

Company-published efficacy claims should be tested with actuarial and customer-reference diligence.

Cyber claims and loss-environment metrics
MetricPublic valueDiligence implication
BEC/FTF share58% of claimsDemand driver but also frequency risk.
Ransom demand trend+47% to average >$1MSeverity and accumulation stress.
Ransom refusal and recovery86% refused to pay; $21.8M recovered; 65% negotiation reductionClaims capability value proposition; verify methodology.

Company report metrics should be tested against raw claims data and actuarial analysis.

Active insurance product architecture Conceptual public product architecture connecting insurance, Control, data graph, AI and response services.

Architecture is inferred from public product pages, not internal architecture documents.

Chapter 03

03Customer Information

Coalition publishes large policyholder/customer counts and claims outcomes, but top customers, revenue concentration, churn, severed relationships and supplier economics are not public.

III.A Top customers and policyholder base

partially verified confidence: medium

Aggregate policyholder counts are public but customer names, revenue, industry/geography mix and concentration are not.

Evidence gaps

  • Top customer list, premium/revenue by account, industry/geography segmentation and concentration.

Hidden risks

  • Definition changes could overstate comparable growth; policyholder count may not equal revenue diversification.

Follow-up questions

  • Reconcile public customer/policyholder definitions to billed customers, active policies and revenue.
Customer, policyholder and claims scale signals
SignalSource/dateInterpretation
CustomersSeries D, 2021-03-17Historical customer-scale anchor.
CustomersSeries E, 2021-09-28Growth signal; reconcile with premium run-rate.
SMBs/policyholdersSeries F and 2026 claims reportLarge-scale claim but definitions/timing differ.

Do not calculate precise growth without reconciling definitions.

Selected Coalition claims-report metrics Bar chart of selected public claims-report metrics.

All values are company-reported.

III.B Strategic relationships

verified confidence: medium

Allianz partnership and carrier relationships are material public signals.

Evidence gaps

  • Partner economics, exclusivity, approvals, SLAs, termination rights and capacity commitments.

Hidden risks

  • Strategic dependence on one or several capacity/channel partners could affect growth, pricing and product breadth.

Follow-up questions

  • Provide Allianz and carrier contracts, approval status and concentration analysis.
Strategic partners, carriers and suppliers
Counterparty typePublic examplesDependency question
Strategic carrier/global partnerAllianz Commercial / Allianz XApproval status, exclusivity, economics, capacity and governance rights.
Carriers/capacityAllianz, Arch, Ascot, Aspen, Chaucer, CIC, Lloyd’s, Fortegra, ZurichAppointments, reinsurance, product approvals, termination rights and concentration.
Technology/data/security suppliersNot fully disclosed publiclyCloud, telemetry, data rights, security vendors and business-continuity risks.

Carrier and reinsurer economics can be more material than traditional supplier spend.

Coalition public GTM funnel Publicly inferred go-to-market funnel from broker/partner awareness to policyholder risk engagement.

Only the policyholder count is public; other stages require private funnel data.

III.C Revenue by customer

not publicly verifiable confidence: high

Revenue by customer, premium by customer and customer cohort economics are not public.

Evidence gaps

  • Top 50 customers/policies, revenue, premium, broker source, contract term and renewals.

Hidden risks

  • Broker/channel concentration may be more important than individual insured concentration.

Follow-up questions

  • Provide anonymized customer concentration, churn and renewal cohort file.

III.D Severed customer relationships

not publicly verifiable confidence: medium

Public research did not identify severed customer or partner relationships.

Evidence gaps

  • Lost customers, non-renewals, complaints, claims disputes and broker departures.

Hidden risks

  • Material cancellations, broker disputes or carrier exits may not be public.

Follow-up questions

  • Provide lost-account list, churn reasons, claims disputes and broker termination history.

III.E Top suppliers

partially verified confidence: medium

Carriers/reinsurers, broker channels, cloud/security vendors and data providers are likely critical suppliers, but supplier spend and contracts are private.

Evidence gaps

  • Top suppliers by spend and dependency, carrier/reinsurance terms, cloud/security vendor contracts and data licenses.

Hidden risks

  • A carrier, reinsurer, cloud or security-data provider outage/termination could disrupt underwriting or claims operations.

Follow-up questions

  • Provide supplier spend, critical-vendor assessment, carrier/reinsurance schedule and business-continuity plan.
Chapter 04

04Competition

Coalition operates in a growing cyber-insurance market with direct venture-backed competitors and incumbent insurer/reinsurer competition.

IV.A Competitive landscape

verified confidence: high

Munich Re estimates strong market growth, while competitor sites show active-insurance/security convergence among At-Bay, Cowbell and Resilience.

Evidence gaps

  • Win/loss by competitor, pricing, broker preference, claims outcomes, renewal retention and share by segment.

Hidden risks

  • Rate softening, incumbent carrier capacity, security-vendor bundling or reinsurer appetite changes could compress margins.

Follow-up questions

  • Provide competitive pipeline, win/loss, pricing and broker/customer reference data.
Competitive landscape snapshot
Company/groupPublic positioningCompetitive pressure
CoalitionActive insurance and cybersecurity with Control, data graph, AI and ADR.Must prove loss-reduction and integrated product value.
At-BayCyber Insurance & MDR Security Platform; Stance MDR/security offerings.Direct security-plus-insurance competition.
CowbellAdaptive Cyber Insurance with resiliency services, MDR, vendor risk and compliance offerings.SMB/mid-market cyber-insurance competitor with risk services.
ResilienceSecurity posture, real-time threats and claims data with cyber insurance; risk quantification.Enterprise-oriented cyber risk quantification and insurance overlap.

Incumbent carriers and reinsurers also compete but were summarized at market level.

Differentiation and competitive-pressure matrix
DimensionCoalition evidenceRisk if weak
Claims data and preventionControl uses real-world claims data from 100,000+ policyholders; claims outcomes are advertised.Product converges with broker/carrier offerings and pricing pressure rises.
Carrier capacity and reachAllianz global strategic agreement and carrier table.Capacity restrictions or partner conflict could impair growth.
Security operations and AIActive Data Graph, CoalitionAI and Wirespeed ADR.Claims reduction, underwriting advantage and security revenue thesis weaken.
Cyber insurance market context
MetricValueImplication
Global cyber insurance market 2024$15.3BLarge but still small relative to P&C, creating growth runway.
Global cyber insurance market 2025$16.3B expectedNear-term growth but also competitive attention.
North America 2024$10.6B; 69% shareCoalition’s North American footprint aligns with the largest market.

Market size does not indicate Coalition market share or profitability.

Active cyber insurance competitor map Market map positioning cyber insurance/security companies by insurance orientation and security-service depth.

Position values are qualitative and should not be treated as measured scores.

Cyber insurance market premium context Market-premium context from Munich Re estimates.
Chapter 05

05Marketing, Sales and Distribution

Coalition appears to distribute through brokers, carrier partnerships and digital/product-led channels; sales efficiency and budget data are private.

V.A Marketing strategy and distribution

partially verified confidence: medium

Public pages point to broker-facing insurance navigation, carrier relationships and global strategic partnership rollout.

Evidence gaps

  • Channel mix, broker commissions, partner economics, lead sources and marketing budget.

Hidden risks

  • Broker concentration or carrier appetite shifts could affect acquisition economics.

Follow-up questions

  • Provide GTM channel waterfall and broker/partner production analysis.
GTM channels and distribution model
ChannelEvidenceKPI to request
Broker channelHomepage includes broker-facing navigation and insurance product pages.Broker production, commission, conversion, quote-to-bind and retention.
Carrier/strategic partnerAllianz global agreement and listed carriers.Partner-sourced premium/revenue, capacity utilization and termination/exclusivity terms.
Product-led risk engagementControl alerts, data graph, security products and claims experience.Active users, alerts acted upon, attach/upsell and loss impact.

V.B Major customers

partially verified confidence: medium

Major-customer logos and revenue concentration were not public; aggregate policyholder counts are available.

Evidence gaps

  • Top customer/policyholder and broker production schedules.

Hidden risks

  • A small number of brokers, programs or enterprise accounts could drive a disproportionate share of premium/revenue.

Follow-up questions

  • Provide top accounts and broker/channel concentration by revenue and premium.

V.C New business

not publicly verifiable confidence: high

New-business pipeline, conversion, quote-to-bind, renewal uplift and cohort data were not public.

Evidence gaps

  • Pipeline, quote-to-bind, conversion, loss-adjusted CAC and new-business cohorts.

Hidden risks

  • Fast premium growth can be unprofitable if underwriting, rates or commissions are mispriced.

Follow-up questions

  • Provide new-business funnel by channel, segment and geography.
Sales productivity and budget unknowns
MetricPublic availabilityWhy it matters
CAC and paybackNot publicInsurance distribution can be commission- and partner-intensive.
Quota attainment and broker productivityNot publicDetermines scalable growth and channel concentration.
Marketing budget and channel ROINot publicNeeded to understand contribution margin and growth efficiency.

This table intentionally documents absence of public data rather than inferring performance.

V.D Sales productivity

not publicly verifiable confidence: high

Sales productivity, quota attainment, broker productivity and CAC/payback are not public.

Evidence gaps

  • AE/broker productivity, quota attainment, CAC/payback, commissions and renewal productivity.

Hidden risks

  • Broker-assisted insurance sales may have commission structures and productivity constraints not visible publicly.

Follow-up questions

  • Provide sales productivity dashboard and budget-to-actual.

V.E Sales and marketing budgets

not publicly verifiable confidence: high

Marketing budget, channel spend, broker incentives and brand spend are not public.

Evidence gaps

  • S&M spend by channel, budget-to-actual and ROI attribution.

Hidden risks

  • High acquisition cost or partner incentives could reduce contribution margin.

Follow-up questions

  • Provide S&M budget, actuals, channel ROI and partner-incentive schedule.
Chapter 06

06Research and Development

Coalition’s public R&D thesis centers on Active Data Graph, CoalitionAI and Wirespeed ADR, but R&D spend, architecture, data rights and model validation are private.

VI.A R&D organization and technical assets

partially verified confidence: medium

Public sources describe a data and AI technical stack but not engineering org, budget, architecture controls, data lineage or IP chain.

Evidence gaps

  • Engineering org chart, R&D budget, data-rights inventory, model-validation reports and security reviews.

Hidden risks

  • Data quality, scanning legality, privacy rights, model drift or security incidents could impair the differentiated thesis.

Follow-up questions

  • Provide technical architecture, data lineage, model governance and R&D budget/headcount.
R&D, data and AI capability inventory
AssetPublic evidenceDiligence need
Active Data GraphInternet-wide scans, honeypots, data leaks, AI/ML and claims/security research.Data lineage, legal rights, model performance, false-positive rates and security controls.
CoalitionAILLM/GPT, Active Data Graph, trillions of data points, Security Copilot and Broker Copilot.Model evaluation, privacy, guardrails, hallucination control and workflow ROI.
Control/underwriting integrationControl and incident-response integration with data graph.Architecture, data flows, reliability, product analytics and security testing.
Data, AI and response R&D architecture Publicly inferred R&D system connecting external risk data, models, Control, brokers and response.

This is an analyst abstraction from public pages, not internal documentation.

VI.B Product pipeline

partially verified confidence: medium

CoalitionAI and Wirespeed ADR suggest an AI/security roadmap extending beyond insurance, but roadmap economics and integration status are not public.

Evidence gaps

  • Roadmap, product P&L, Wirespeed integration plan, AI evaluations and reliability/incident history.

Hidden risks

  • Acquired technology integration may fail or distract teams; AI features can create regulatory and support risk.

Follow-up questions

  • Provide roadmap, ship history, integration milestones, incident history and model-safety artifacts.
Product pipeline and security roadmap evidence
InitiativeEvidenceOpen question
Wirespeed ADRAcquisition and metrics around 1,801 ms median time to verdict and 99.99% alert-noise reduction.Deal economics, product integration, metric methodology and revenue model.
AI workflowsCoalitionAI, Security Copilot and Broker Copilot use cases.Adoption, accuracy, privacy controls and compliance reviews.
Control enhancementsAttack-surface, third-party risk, compliance and zero-day alerts.Engagement, conversion and measurable risk reduction.
Chapter 07

07Management and Personnel

Public pages identify founders/leadership and hiring activity, while Dealroom provides directional staff estimates; compensation, attrition and employee relations require private diligence.

VII.A Organization chart

partially verified confidence: medium

A full current org chart was not public; public leadership pages and hiring geography provide partial structure.

Evidence gaps

  • Current org chart, reporting lines, critical roles and vacancy plan.

Hidden risks

  • Unclear spans of control, succession, and integration ownership for insurance/security/AI functions.

Follow-up questions

  • Provide org chart, leadership biographies, succession plan and open-role priorities.
Leadership and governance roster from public sources
Role/personEvidenceDiligence ask
Joshua MottaCo-founder and public leadership bio in company materials.Employment agreement, equity, retention and references.
John HeringCo-founder named in Series E founding statement.Current role/equity and historical IP assignment.
Board/strategic investor rightsAllianz announcement includes increased equity/right to board nominee.Board composition, investor rights, consent rights and conflicts.

A complete roster should be requested because public bios are incomplete for diligence.

Hiring, headcount and geography signals
SignalEvidenceDiligence issue
Open roles18 open roles observed across US, Canada, UK, France and Australia; remote-first messaging.Hiring plan, vacancy criticality and international employment compliance.
Staff estimateDealroom estimated 718 staff, 25 AI talent and 16 countries.Actual headcount, contractors, attrition and functional mix.
Equity/compensationNo public option pool, compensation or attrition data.Retention, dilution, payroll obligations and commission exposure.

Careers data is point-in-time and should be rechecked near transaction close.

Public leadership and personnel evidence org chart Partial public organization chart built from known founder/leadership and public operating functions.

Reporting lines other than public founder/governance context are inferred functional groupings.

VII.B Headcount

partially verified confidence: medium

Careers page and Dealroom estimate scaled staffing, but actual headcount by function/geography is private.

Evidence gaps

  • HRIS export by employee/contractor, function, geography, tenure and vacancies.

Hidden risks

  • Rapid growth or international hiring can create compliance and management complexity.

Follow-up questions

  • Provide HRIS extract, hiring plan and contractor/vendor workforce data.

VII.C Biographies

verified confidence: medium

Founder and leadership biographies are publicly available but should be supplemented with background checks and references.

Evidence gaps

  • Executive employment agreements, references, background checks and board minutes.

Hidden risks

  • Founder/key-person risk and strategic investor governance rights need review.

Follow-up questions

  • Provide executive diligence package and board/governance materials.

VII.D Compensation

not publicly verifiable confidence: high

Executive and employee compensation, bonus plans and commission plans are not public.

Evidence gaps

  • Compensation bands, bonus/commission plans, payroll, benefits and contractor terms.

Hidden risks

  • Underpriced equity refresh, commissions or international payroll issues could create retention/cost risk.

Follow-up questions

  • Provide comp schedules and bonus/commission plans.

VII.E Stock plans

not publicly verifiable confidence: high

Option pool, grant schedule, vesting, refresh policy and equity overhang are not public.

Evidence gaps

  • Equity incentive plan, option ledger, 409A valuations and refresh policy.

Hidden risks

  • Option-pool expansion and preference stack may materially dilute holders or impair hiring.

Follow-up questions

  • Provide option ledger, equity plan and 409A history.

VII.F Employee relations

not publicly verifiable confidence: medium

Public research did not include employee-relations, works council, union, claims or HR disputes.

Evidence gaps

  • Employee-relations claims, contractor classification, works council/union matters and compliance training.

Hidden risks

  • International workforce can create employment-law and classification risk.

Follow-up questions

  • Provide HR claims schedule, employment-law compliance memo and contractor-classification review.

VII.G Turnover

not publicly verifiable confidence: high

Turnover, regretted attrition, offer acceptance, retention and performance-management data are not public.

Evidence gaps

  • Attrition by function/geography, offer acceptance, regretted attrition and engagement survey data.

Hidden risks

  • Attrition in underwriting, claims, security or engineering roles could degrade product and claims outcomes.

Follow-up questions

  • Provide turnover/retention dashboard and critical-role retention plans.
Chapter 08

08Legal

Public legal pages disclose licensing, carrier relationships, privacy policy and disclaimers, but legal diligence needs contracts, dockets, IP chain, regulatory files and policy forms.

VIII.A Lawsuits against the company

not publicly verifiable confidence: medium

No comprehensive public litigation docket review was performed and no litigation schedule was public.

Evidence gaps

  • Litigation schedule, claims disputes, demand letters and docket search results.

Hidden risks

  • Claims disputes, class actions, privacy/security incidents or employment disputes may exist outside public marketing pages.

Follow-up questions

  • Counsel should run federal/state docket searches and request litigation schedule.
Legal, regulatory, privacy, IP and contracts diligence matrix
AreaPublic evidenceGap
Privacy/dataPrivacy policy includes affiliates/subsidiaries and GLBA/global privacy references.Data maps, DPIAs, incidents, vendor DPAs and AI governance.
Litigation/regulatory correspondenceNo comprehensive public legal docket/regulator file in this pass.Docket searches, complaints, regulatory exams and demand letters.
IP/contractsTechnology and Wirespeed claims create material IP/contract questions.IP assignments, OSS review, acquisition documents, material contracts and carrier agreements.
Coalition diligence risk heatmap Heatmap of key diligence risks across financial, market, technical, legal and operational categories.

VIII.B Lawsuits initiated by the company

not publicly verifiable confidence: medium

Company-initiated litigation, recovery actions and IP enforcement activity were not publicly diligenced.

Evidence gaps

  • Litigation initiated by Coalition, recovery actions, settlements and enforcement matters.

Hidden risks

  • Subrogation/recovery disputes or IP enforcement costs could affect legal spend.

Follow-up questions

  • Provide lawsuits-by-company schedule and legal spend.

VIII.C Environmental, safety and regulatory matters

not publicly verifiable confidence: medium

Environmental/safety exposure appears less central for a digital insurer/security company, but workplace, data-center/vendor and insurance-regulatory matters need review.

Evidence gaps

  • Regulatory examinations, complaints, workplace safety, vendor/data-center controls and business-continuity evidence.

Hidden risks

  • Insurance regulatory examinations or privacy/security incidents could be more material than traditional environmental exposure.

Follow-up questions

  • Provide regulatory correspondence and environmental/safety/compliance schedules.
Licenses, carriers and insurance legal infrastructure
TopicPublic evidencePrivate verification
Producer licensingCoalition Insurance Solutions licensed in all 50 states and DC.Regulator database checks, appointments, lapses and complaints.
Carrier relationshipsLegal page lists Allianz, Arch, Ascot, Aspen, Chaucer, Coalition Insurance Company, Lloyd’s, Fortegra, Zurich and others.Carrier contracts, capacity, reinsurance and product approvals.
Geographic product variationCompany disclaimer says policies/products may differ by geography and contracts control.Policy forms, approvals, exclusions, claims authority and jurisdiction-specific terms.

VIII.D Intellectual property

not publicly verifiable confidence: high

No patent/trademark/source-code/IP assignment diligence was completed in the public pass.

Evidence gaps

  • Patent/trademark search, source-code review, IP assignments, OSS inventory and Wirespeed acquisition documents.

Hidden risks

  • Acquired or internally developed AI/security IP may have ownership, open-source, data-rights or infringement issues.

Follow-up questions

  • Provide IP schedule, assignment chain, OSS report and Wirespeed acquisition/IP documents.

VIII.E Insurance coverage and licenses

partially verified confidence: medium

Coalition discloses licensing and carrier relationships, but policy terms, producer appointments, E&O coverage and reinsurance remain private.

Evidence gaps

  • Producer licenses, appointments, carrier contracts, policy forms, E&O insurance and reinsurance treaties.

Hidden risks

  • License lapses, carrier appointment restrictions or policy wording gaps could affect operations and claims.

Follow-up questions

  • Have counsel verify licenses/appointments and request insurance/reinsurance coverage schedules.

VIII.F Material contracts

not publicly verifiable confidence: high

Carrier, reinsurance, broker, customer, cloud/security, Wirespeed acquisition and Allianz contracts are not public.

Evidence gaps

  • Material contracts, amendments, SLAs, data-processing agreements and termination/assignment rights.

Hidden risks

  • Termination rights, exclusivity, data use, indemnities or capacity limits can materially affect value.

Follow-up questions

  • Provide material contract schedule and copies of top agreements.

VIII.G Regulatory agency correspondence

partially verified confidence: medium

Insurance licensing, privacy/GLBA, data scanning and AI features create regulatory diligence needs; correspondence was not public.

Evidence gaps

  • Regulatory correspondence, examination reports, privacy assessments, complaints and AI governance materials.

Hidden risks

  • Regulatory inquiries, complaints or privacy incidents could affect licenses, operations or reputation.

Follow-up questions

  • Request regulator correspondence, complaints, privacy/DPIA records and AI governance documentation.

Evidence

Evidence claims
IDClaimStatusSources
EC-001 Coalition is an active cyber insurance and cybersecurity company founded in 2017 by Joshua Motta and John Hering. verified high SRC-003SRC-005
EC-002 Coalition publicly announced major private financings: $175M Series D in 2021, $205M Series E in 2021 at more than $3.5B valuation, and $250M Series F in 2022. verified high SRC-002SRC-003SRC-004SRC-017
EC-003 Public research did not locate audited financial statements, quarterly accounts, cash/debt, loss ratio, reinsurance economics, ARR, gross margin or budget-to-actual data. not publicly verifiable high SRC-001SRC-002SRC-003SRC-016
EC-004 Coalition publicly offers a broad active-insurance and cybersecurity product suite across cyber insurance, technology E&O, AI coverage, executive risks, MPL, Control, Wirespeed ADR, incident response, security awareness training, Active Data Graph and CoalitionAI. verified high SRC-001SRC-006SRC-007SRC-009SRC-012
EC-005 Coalition claims differentiated cyber-insurance outcomes, including 73% fewer claims than industry average and 64% of closed claims with no out-of-pocket loss. partially verified medium SRC-006SRC-008
EC-006 Coalition Control is marketed as a cyber risk platform powered by real-world claims data from 100,000+ policyholders. verified medium SRC-007
EC-007 Coalition’s 2026 claims report cites material cyber-loss dynamics: BEC/FTF 58% of claims, average ransom demand over $1M after a 47% increase, 86% refused to pay and $21.8M recovered. verified medium SRC-008
EC-008 Coalition has publicly claimed large policyholder/customer scale, including 42,000 customers in Series D, 52,000+ customers in Series E, 160,000+ SMBs in Series F and 100K+ global policyholders in current claims materials. partially verified medium SRC-002SRC-003SRC-004SRC-008
EC-009 Allianz and Coalition announced a strategic global cyber-insurance partnership expansion, with Allianz transitioning commercial cyber insurance to Coalition and a minimum ten-year alignment, subject to approvals. verified high SRC-011
EC-010 Coalition Insurance Solutions discloses licensing in all 50 U.S. states and DC and lists carriers including Allianz, Arch, Ascot, Aspen, Chaucer, Coalition Insurance Company, Lloyd’s, Fortegra and Zurich. verified medium SRC-013
EC-011 Munich Re estimates the global cyber insurance market at $15.3B in 2024, $16.3B in 2025, North America at $10.6B and 69% share in 2024, with global premium volume expected to more than double by 2030. verified high SRC-018
EC-012 At-Bay, Cowbell and Resilience publicly market overlapping cyber-insurance plus security/risk-management propositions. verified medium SRC-019SRC-020SRC-021
EC-013 Coalition’s go-to-market appears broker- and partner-led with digital self-service and major carrier/channel relationships. partially verified medium SRC-001SRC-011SRC-013
EC-014 Public sources do not disclose Coalition sales productivity, marketing budget, broker commission economics, pipeline, CAC, payback, quota attainment or new-business cohort data. not publicly verifiable high SRC-001SRC-011
EC-015 Coalition’s Active Data Graph is described as an internet-scale data collection and analysis engine using scans, honeypots, data leaks, AI/ML and claims/security research. verified medium SRC-009
EC-016 CoalitionAI is marketed as using proprietary technology, LLM/GPT capabilities, the Active Data Graph and trillions of data points to generate AI alerts, Security Copilot and Broker Copilot use cases. partially verified medium SRC-012
EC-017 Coalition announced Wirespeed acquisition and advertised automated detection and response with a 1,801 ms median time to verdict and 99.99% alert-noise reduction. partially verified medium SRC-010SRC-001
EC-018 Coalition shows ongoing hiring and global remote-first operations, while Dealroom estimates 718 staff, 25 AI talent, 16 countries and 17 cap-table investors. partially verified medium SRC-015SRC-016
EC-019 Coalition’s privacy notice covers subsidiaries/affiliates, GLBA-related processing and global privacy jurisdiction disclosures. verified medium SRC-014
EC-020 Coalition legal disclaimers state products are offered through Coalition Insurance Solutions, coverages/products can vary by geography, and obligations are carrier-dependent with exclusions/limitations. verified medium SRC-001SRC-013
EC-021 Dealroom identifies Coalition as a San Francisco fintech/cyber-insurance unicorn founded in 2017 with directional estimates for staff, AI talent, countries and monthly visits. partially verified medium SRC-016
EC-022 The public unicorn-list record cites a Reuters-supported $3.5B Coalition valuation in September 2021, consistent with the Series E announcement. verified medium SRC-017SRC-003
EC-023 Top customers, revenue by customer, customer churn, severed relationships and supplier economics were not publicly disclosed. not publicly verifiable high SRC-001SRC-006SRC-008
EC-024 Public research did not identify litigation against/by Coalition, environmental or safety matters, IP assignments, material contracts, complaints or regulatory-agency correspondence sufficient for legal diligence. not publicly verifiable medium SRC-013SRC-014
Sources
IDPublisherTitleAccessed
SRC-001 Coalition Cyber Insurance | Active Insurance & Cybersecurity | Coalition 2026-05-20
SRC-002 Coalition Coalition announces $250 million investment to accelerate growth and global expansion 2026-05-20
SRC-003 Coalition Coalition announces $205 million Series E financing 2026-05-20
SRC-004 Coalition Coalition raises $175 million Series D financing 2026-05-20
SRC-005 Coalition About Us | Coalition 2026-05-20
SRC-006 Coalition Prevent Digital Risk With Active Cyber Insurance & Coverage | Coalition 2026-05-20
SRC-007 Coalition Control from Coalition | Coalition 2026-05-20
SRC-008 Coalition 2026 Cyber Claims Report | Coalition 2026-05-20
SRC-009 Coalition Coalition Data Advantage | Active Cyber Insurance 2026-05-20
SRC-010 Coalition Coalition acquisition announcement for Wirespeed 2026-05-20
SRC-011 Coalition Coalition & Allianz Commercial Expand Strategic Global Cyber Insurance Partnership 2026-05-20
SRC-012 Coalition CoalitionAI | Artificial Intelligence 2026-05-20
SRC-013 Coalition Licenses and Carriers | Coalition 2026-05-20
SRC-014 Coalition Privacy Policy | Coalition 2026-05-20
SRC-015 Coalition Coalition Inc. Careers | Help us bring security to all 2026-05-20
SRC-016 Dealroom Coalition company profile 2026-05-20
SRC-017 Wikipedia List of unicorn startup companies 2026-05-20
SRC-018 Munich Re Cyber Insurance: Risks and Trends 2025 2026-05-20
SRC-019 At-Bay At-Bay: Cyber Insurance & MDR Security Platform 2026-05-20
SRC-020 Cowbell Cowbell - Adaptive Cyber Insurance 2026-05-20
SRC-021 Resilience Resilience homepage 2026-05-20

Disclaimer

This report is a public-evidence diligence snapshot, not investment advice. Important financial, legal, technical, and contractual facts remain non-public and should be verified directly with management and primary documents before any investment decision.