Startup Diligence
Diligence report Enterprise data infrastructure and AI data platform Private venture-backed unicorn

VAST Data

VAST Data Public-Source Startup Diligence Report

Proceed only with full data-room verification: public sources support the category narrative, but do not prove ARR quality, gross margin, retention, concentration, supplier resilience, compliance, or exit economics.

Company profile

VAST Data Public-Source Startup Diligence Report

VAST Data has public evidence supporting private-unicorn status at $80B and a coherent an AI-era enterprise data platform and AI Operating System positioning. The main diligence blockers are private financial quality, valuation support, customer concentration, product economics, operational dependencies, regulatory/security posture, and governance records.

Website
www.vastdata.com
Sector
Enterprise data infrastructure and AI data platform
Geography
United States; New York, New York
Stage
Private venture-backed unicorn
Known aliases
VAST Data, Inc., VAST
Report version
1.0
Timezone
UTC

Executive summary

Strengths

  • CB Insights lists VAST Data at $80B.
  • VAST says it reimagined data management for the AI era with an enterprise software platform built to power AI factories and agents at hyperscale, and that its AI Operating System connects and understands enterprise data.
  • The VAST platform page lists VAST DataStore, VAST DataBase, VAST DataSpace, and VAST AI Operating System, including all-flash file/object/table storage and low-latency query processing across structured and unstructured data.

Risks

  • Financial quality and unit economics not public
  • Cap table and valuation support opaque
  • Customer concentration and retention unknown
  • Competitive pricing and differentiation pressure
  • Product and roadmap execution risk

Gaps

  • Audited financials, revenue/ARR bridge, margin, burn, runway, debt, and budget-to-actuals are not public.
  • Cap table, preferred terms, secondary/tender documents, investor rights, and option pool are not public.
  • Customer concentration, contract terms, churn, renewal cohorts, backlog, and reference calls are not public.
  • Security/compliance audits, litigation/regulatory schedules, IP assignments, and material supplier/customer contracts require private diligence.

Recommended next steps

  • Request financial, cap-table, customer, legal, security, supplier, and HR data-room materials.
  • Interview management on revenue quality, product differentiation, dependency resilience, and compliance controls.
  • Run customer, partner, supplier, and technical reference checks.

Risk register

high high likelihood

R1: Financial quality and unit economics not public

Audited financials, revenue, gross margin, burn, runway, CAC/payback, and retention are not publicly verifiable.

Diligence request: Request audited financials, management accounts, revenue bridge, gross margin, burn, runway, and debt schedule.

high high likelihood

R3: Customer concentration and retention unknown

Public customer proof does not disclose customer-level revenue, renewal rates, churn, backlog, or contract terms.

Diligence request: Request customer export, top contracts, renewal/churn cohorts, and reference calls.

high medium likelihood

R2: Cap table and valuation support opaque

Public valuation does not reveal preferred terms, investor rights, secondary trades, option pool, or exit waterfall.

Diligence request: Request cap table, financing documents, investor-rights agreements, 409A, and secondary/tender materials.

high medium likelihood

R6: Operational dependency risk

Enterprise storage/AI data deployments may depend on hardware supply, cloud/on-prem environments, partner integrations, and support SLAs.

Diligence request: Request supplier/partner contracts, SLAs, redundancy plans, concentration analysis, and incident history.

high medium likelihood

R7: Privacy, security, or regulatory exposure

VAST handles enterprise customer data environments, so privacy, security, data residency, contractual commitments, and IP ownership require diligence.

Diligence request: Request regulatory matrix, policies, audits, incident logs, legal schedule, and compliance testing.

medium high likelihood

R4: Competitive pricing and differentiation pressure

The enterprise storage, AI data platforms, and high-performance data infrastructure market includes well-capitalized incumbents and specialists.

Diligence request: Request win/loss, pricing benchmarks, churn reasons, and product usage data.

medium medium likelihood

R5: Product and roadmap execution risk

Public product scope is broad, but roadmap delivery, release quality, implementation economics, and support load are private.

Diligence request: Request roadmap, release history, support metrics, implementation economics, and customer adoption cohorts.

medium medium likelihood

R8: Hiring, culture, and key-person risk not public

Public hiring/careers evidence does not disclose function mix, attrition, compensation, retention, or succession planning.

Diligence request: Request HRIS census, attrition, compensation, offer acceptance, engagement surveys, and key-person agreements.

Chapter 01

01Financial Information

Audited financials, revenue quality, margin, burn, and runway are not public. CB Insights provides a $80B unicorn-list valuation anchor; cap-table terms are private. Tax positions, incentives, grants, and payroll/indirect tax compliance are not publicly verifiable.

I.A Annual and quarterly financial statements

partially verified confidence: medium

Audited financials, revenue quality, margin, burn, and runway are not public.

E8

Evidence gaps

  • Provide audited statements, management accounts, revenue bridge, margin, burn, runway, and debt schedule.

Hidden risks

  • Financial quality and unit economics not public

Follow-up questions

  • Provide audited statements, management accounts, revenue bridge, margin, burn, runway, and debt schedule.
Revenue, ARR, and unit-economic signal table
metricpublic signalverification statusdiligence request
Revenue / ARRNot disclosednot_publicly_verifiableProvide monthly revenue/ARR bridge and recognition policy.
Gross marginNot disclosednot_publicly_verifiableProvide gross margin by SKU/customer cohort, support and infrastructure costs.
Burn and runwayNot disclosednot_publicly_verifiableProvide cash balance, burn, runway, debt schedule, budget-to-actuals.

I.B Capitalization and financing history

verified confidence: medium

CB Insights provides a $80B unicorn-list valuation anchor; cap-table terms are private.

Evidence gaps

  • Provide cap table, financing documents, investor rights, option pool, 409A, and secondary/tender materials.

Hidden risks

  • Cap table and valuation support opaque

Follow-up questions

  • Provide cap table, financing documents, investor rights, option pool, 409A, and secondary/tender materials.
Public funding-round and valuation history
dateeventamount or valuationsourcediligence request
2020-04-16CB Insights unicorn list entry$80BCB InsightsReconcile to financing documents, 409A, tender/secondary transactions, and current cap table.
not publicly disclosed in reviewed sourcesLatest priced primary/secondary financingnot_publicly_verifiablepublic sources reviewedProvide round documents, share class terms, investor allocation, and use of proceeds.
currentRunway and debt schedulenot_publicly_verifiablepublic sources reviewedProvide cash, burn, runway, credit facilities, warrants, and covenants.
Capital structure and ownership snapshot
stakeholder or instrumentpublic signalstatusdiligence caveat
Norwest Venture Partners, Goldman Sachs, Dell Technologies CapitalListed as select investors by CB Insightspartially_verifiedOwnership percentages, board rights, liquidation preferences, and pro rata rights are private.
Common/option holdersNot publicly disclosednot_publicly_verifiableOption pool, exercises, repurchases, and secondary eligibility require cap-table review.
Debt/project finance/creditNot publicly disclosed in reviewed public sourcesnot_publicly_verifiableDebt instruments, liens, covenants, and repayment priorities require counsel/accounting review.
Funding and valuation timeline Funding and valuation timeline
Public valuation anchor chart Public valuation anchor chart

I.C Taxes and government funding

partially verified confidence: medium

Tax positions, incentives, grants, and payroll/indirect tax compliance are not publicly verifiable.

E8

Evidence gaps

  • Provide tax returns, notices, grants, incentives, transfer-pricing and compliance documentation.

Hidden risks

  • Financial quality and unit economics not public

Follow-up questions

  • Provide tax returns, notices, grants, incentives, transfer-pricing and compliance documentation.
Chapter 02

02Products

VAST publicly describes a broad AI data platform with DataStore, DataBase, DataSpace, and AI Operating System components. VAST architecture appears centered on unified enterprise data infrastructure for structured/unstructured data and AI agents; implementation dependencies require private validation. Public customer or proof-point evidence does not disclose retention, usage cohorts, or customer economics.

II.A Products, pricing, and roadmap

verified confidence: medium

VAST publicly describes a broad AI data platform with DataStore, DataBase, DataSpace, and AI Operating System components.

Evidence gaps

  • Provide roadmap, SKU revenue, pricing, discounting, gross margin, support load, and feature adoption.

Hidden risks

  • Product and roadmap execution risk

Follow-up questions

  • Provide roadmap, SKU revenue, pricing, discounting, gross margin, support load, and feature adoption.
Product and SKU matrix
product areapublic evidencebuyer or userverification status
VAST DataStoreAll-flash file, object and table storage for the exabyte AI era.Enterprise AI/data infrastructure buyersverified
VAST DataBaseLow-latency query processing across structured and unstructured data.Data/AI platform teamsverified
VAST DataSpacePlatform component publicly listed by VAST.Enterprise data teamsverified
VAST AI Operating SystemConnects and understands enterprise data for agents, apps, and humans.AI factory and agent buildersverified
Pricing and packaging diligence matrix
itempublic evidencestatusdiligence request
List pricingNot disclosed in reviewed public sourcesnot_publicly_verifiableProvide list pricing, discounting, net revenue retention, and gross margin by package.
Implementation/professional servicesNot disclosednot_publicly_verifiableProvide implementation timelines, cost-to-serve, support load, and customer success staffing.
Roadmap / packaging changesPublic product positioning onlypartially_verifiedProvide 24-month roadmap, release history, and SKU attach rates.

II.B Technology architecture and security

verified confidence: medium

VAST architecture appears centered on unified enterprise data infrastructure for structured/unstructured data and AI agents; implementation dependencies require private validation.

Evidence gaps

  • Provide architecture, security reports, uptime, incident history, vendor SLAs, and scalability tests.

Hidden risks

  • Product and roadmap execution risk
  • Operational dependency risk

Follow-up questions

  • Provide architecture, security reports, uptime, incident history, vendor SLAs, and scalability tests.
Technology architecture and dependency matrix
componentpublic signaldependency or gaprisk
Enterprise data platformUnified platform for structured/unstructured enterprise dataDeployment architecture and SLAs privateImplementation/support complexity
AI workloadsPlatform built to power AI factories and agentsCustomer workload mix and performance benchmarks privatePerformance and scale risk
Partner/ecosystemPlatform page links partner/product ecosystem signalsContractual dependencies privateConcentration and support risk
Product/dependency architecture Product/dependency architecture

II.C Product-market fit and usage

partially verified confidence: medium

Public customer or proof-point evidence does not disclose retention, usage cohorts, or customer economics.

Evidence gaps

  • Provide usage cohorts, adoption, expansion, NPS, churn, and customer references.

Hidden risks

  • Customer concentration and retention unknown

Follow-up questions

  • Provide usage cohorts, adoption, expansion, NPS, churn, and customer references.
Chapter 03

03Customer Information

VAST publishes customer proof-point pages but customer concentration, renewal, and deployment economics are private. Public relationship evidence is insufficient to verify pipeline conversion or contract quality. Enterprise data infrastructure deployments create dependency risk around hardware, cloud/on-prem environments, partners, and support commitments.

III.A Customer base and concentration

partially verified confidence: medium

VAST publishes customer proof-point pages but customer concentration, renewal, and deployment economics are private.

Evidence gaps

  • Provide top-customer ARR, contracts, renewals, churn, backlog, and reference calls.

Hidden risks

  • Customer concentration and retention unknown

Follow-up questions

  • Provide top-customer ARR, contracts, renewals, churn, backlog, and reference calls.
Public customer and proof-point table
customer or signalpublic evidenceverification statusgap
Customer/case-study pageVAST says customers are revolutionizing the AI landscape with VAST Datapartially_verifiedNeed customer list, ARR, references, deployment status, and churn.
AI landscape positioningCustomer page frames AI customer outcomespartially_verifiedNeed ROI methodology and independent references.
Top-account concentrationNot disclosednot_publicly_verifiableNeed top-20 customer revenue and renewal schedule.
Customer and proof-point visibility chart Customer and proof-point visibility chart

III.B Contracts, pipeline, and channel partners

verified confidence: medium

Public relationship evidence is insufficient to verify pipeline conversion or contract quality.

Evidence gaps

  • Provide partner/customer contracts, pipeline, conversion, and termination rights.

Hidden risks

  • Customer concentration and retention unknown
  • Operational dependency risk

Follow-up questions

  • Provide partner/customer contracts, pipeline, conversion, and termination rights.
Strategic relationships and partnerships
partner typepublic signalvalue or riskdiligence request
Technology partnersPlatform ecosystem referencesCan accelerate adoption but create dependencyProvide partner contracts and sourced revenue.
Resellers/integratorsNot fully public in reviewed sourcesChannel concentration riskProvide channel mix and reseller terms.
Strategic customersCustomer page proof pointsReference value but potential concentrationProvide customer contracts and references.

III.C Suppliers and operational dependencies

verified confidence: medium

Enterprise data infrastructure deployments create dependency risk around hardware, cloud/on-prem environments, partners, and support commitments.

E9

Evidence gaps

  • Provide supplier contracts, SLAs, concentration, contingency plans, and incident history.

Hidden risks

  • Operational dependency risk

Follow-up questions

  • Provide supplier contracts, SLAs, concentration, contingency plans, and incident history.
Supplier and operational dependency diligence table
dependencyrolepublic evidencediligence request
Hardware/storage supply chainCustomer deployments and supportInferred from storage/data-platform product scopeProvide BOM, supplier concentration, lead times, and warranty/returns.
Cloud/on-prem environmentsDeployment targetEnterprise data platform positioningProvide deployment mix, SLAs, uptime, and support metrics.
AI infrastructure ecosystemWorkload and partner adjacencyAI factory/agent platform positioningProvide partner contracts, benchmark results, and customer architecture.
Chapter 04

04Competition

VAST Data operates in enterprise storage, AI data platforms, and high-performance data infrastructure; public sources do not quantify TAM/SAM/SOM or share. The public product category implies competition from incumbents and specialists. Public differentiation claims require private proof through retention, usage, margins, and switching costs.

IV.A Market definition and market size

verified confidence: medium

VAST Data operates in enterprise storage, AI data platforms, and high-performance data infrastructure; public sources do not quantify TAM/SAM/SOM or share.

Evidence gaps

  • Provide market model, segment revenue, share estimates, and budget-owner research.

Hidden risks

  • Competitive pricing and differentiation pressure

Follow-up questions

  • Provide market model, segment revenue, share estimates, and budget-owner research.

IV.B Competitive landscape

verified confidence: medium

The public product category implies competition from incumbents and specialists.

E7

Evidence gaps

  • Provide win/loss, pricing benchmarks, churn reasons, and competitor displacement data.

Hidden risks

  • Competitive pricing and differentiation pressure

Follow-up questions

  • Provide win/loss, pricing benchmarks, churn reasons, and competitor displacement data.
Competitor comparison matrix
competitorsegmentoverlappressure
Pure StorageEnterprise storageFlash storage and data servicesIncumbent scale and enterprise relationships
NetAppEnterprise storage/data managementHybrid cloud storage and data managementLarge installed base and procurement leverage
Dell TechnologiesInfrastructure incumbentStorage/server/channel overlapBundled infrastructure pricing pressure
Weka/DDNAI/HPC storage specialistsHigh-performance AI data infrastructureSpecialized AI workload competition
Snowflake/DatabricksData platformAnalytics/data platform adjacencyPlatform budget competition
Competitive market map Competitive market map

IV.C Differentiation and defensibility

verified confidence: medium

Public differentiation claims require private proof through retention, usage, margins, and switching costs.

Evidence gaps

  • Provide retention, product usage, IP, benchmark, customer ROI, and switching-cost evidence.

Hidden risks

  • Competitive pricing and differentiation pressure
  • Product and roadmap execution risk

Follow-up questions

  • Provide retention, product usage, IP, benchmark, customer ROI, and switching-cost evidence.
Basis of competition scoring
axispublic positionprivate validation neededevidence strength
AI data platform breadthDataStore/DataBase/DataSpace/AI OS public product breadthUsage, attach, and renewal by componentmedium
Performance/scalabilityAI factory and hyperscale positioningIndependent benchmarks and customer workload evidencemedium
Enterprise trustCustomer proof-point pagesSecurity certifications, support SLAs, and renewal datamedium
Chapter 05

05Marketing, Sales, and Distribution

Public pages show category and proof points but do not disclose channel mix or CAC. Pipeline, bookings, discounts, and revenue operations controls are not publicly verifiable. Public product and customer/career pages support brand presence but not demand efficiency.

V.A Go-to-market model

verified confidence: medium

Public pages show category and proof points but do not disclose channel mix or CAC.

Evidence gaps

  • Provide CAC by channel, sales productivity, payback, funnel conversion, and partner/channel economics.

Hidden risks

  • Customer concentration and retention unknown
  • Competitive pricing and differentiation pressure

Follow-up questions

  • Provide CAC by channel, sales productivity, payback, funnel conversion, and partner/channel economics.
Distribution channels and GTM motions
channelpublic evidencelikely motiongap
Direct enterprise salesEnterprise platform positioningEnterprise field salesCAC/payback and sales productivity not public.
Customer referencesCustomer page/case-study linksReference-led enterprise salesReference conversion and concentration not public.
Partner ecosystemProduct/platform ecosystem signalsTechnology/channel partnershipsPartner-sourced revenue not public.
GTM channel evidence chart GTM channel evidence chart

V.B Pipeline, bookings, and revenue operations

partially verified confidence: medium

Pipeline, bookings, discounts, and revenue operations controls are not publicly verifiable.

E8

Evidence gaps

  • Provide bookings bridge, pipeline aging, win rates, discount approvals, and RevOps controls.

Hidden risks

  • Financial quality and unit economics not public

Follow-up questions

  • Provide bookings bridge, pipeline aging, win rates, discount approvals, and RevOps controls.

V.C Brand, communications, and demand generation

verified confidence: medium

Public product and customer/career pages support brand presence but not demand efficiency.

Evidence gaps

  • Provide web funnel, paid/organic mix, PR calendar, analyst relations, and demand-generation ROI.

Hidden risks

  • Competitive pricing and differentiation pressure

Follow-up questions

  • Provide web funnel, paid/organic mix, PR calendar, analyst relations, and demand-generation ROI.
Marketing and public-signal summary
signalpublic evidencediligence interpretationrequest
AI-era platform positioningVAST platform pageClear thematic positioningValidate pipeline by segment and campaign ROI.
Customer stories pageVAST customer pageSupports proof points but curatedObtain independent references.
Careers pagePublic careers pageSupports hiring signalObtain headcount/hiring plan.
Chapter 06

06Research and Development

Public product breadth implies R&D scale, but process, staffing, and quality metrics are private. IP ownership, patent/trademark coverage, OSS use, and roadmap are not fully publicly verified. Scalability and reliability claims require logs, benchmarks, incidents, and customer deployments.

VI.A R&D organization and process

verified confidence: medium

Public product breadth implies R&D scale, but process, staffing, and quality metrics are private.

Evidence gaps

  • Provide engineering org, roadmap governance, release metrics, QA, and technical debt register.

Hidden risks

  • Product and roadmap execution risk
  • Hiring, culture, and key-person risk not public

Follow-up questions

  • Provide engineering org, roadmap governance, release metrics, QA, and technical debt register.
R&D personnel and pipeline evidence
areapublic signalstatusdiligence request
AI Operating SystemPlatform component for enterprise context and agentspublic product areaProvide roadmap, architecture, benchmarks, and customer adoption.
DataStore/DataBase/DataSpacePublic platform componentspublic product areasProvide SKU revenue, roadmap, and reliability metrics.
Engineering/hiringCareers pagepublic hiring signalProvide R&D headcount, attrition, and productivity.
R&D portfolio map R&D portfolio map

VI.B IP creation, patents, and technical roadmap

partially verified confidence: medium

IP ownership, patent/trademark coverage, OSS use, and roadmap are not fully publicly verified.

Evidence gaps

  • Provide IP schedule, assignments, OSS/SBOM, roadmap, and technical diligence materials.

Hidden risks

  • Product and roadmap execution risk

Follow-up questions

  • Provide IP schedule, assignments, OSS/SBOM, roadmap, and technical diligence materials.
IP and technical roadmap diligence matrix
asset or processpublic signalverification statusdiligence request
Patents/trademarksNot comprehensively verified in this public-source passnot_publicly_verifiableProvide IP schedule, assignments, prosecution history, and licenses.
Open-source/software dependenciesNot disclosednot_publicly_verifiableProvide OSS inventory, SBOM, license policy, and vulnerability remediation history.
Technical roadmapPublic product positioning onlypartially_verifiedProvide roadmap, milestones, release quality metrics, and technical debt register.

VI.C Technical debt and scalability

verified confidence: medium

Scalability and reliability claims require logs, benchmarks, incidents, and customer deployments.

Evidence gaps

  • Provide uptime, incident logs, scalability tests, cloud/supplier capacity, and remediation history.

Hidden risks

  • Product and roadmap execution risk
  • Operational dependency risk

Follow-up questions

  • Provide uptime, incident logs, scalability tests, cloud/supplier capacity, and remediation history.
Chapter 07

07Management and Personnel

Board, governance, investor rights, and executive agreements are not public. Careers evidence supports hiring activity; headcount, function mix, attrition, and compensation are private. Culture/conduct records and retention signals are not publicly verifiable.

VII.A Leadership, board, and governance

partially verified confidence: medium

Board, governance, investor rights, and executive agreements are not public.

Evidence gaps

  • Provide leadership roster, board composition, minutes, investor rights, and executive agreements.

Hidden risks

  • Cap table and valuation support opaque
  • Hiring, culture, and key-person risk not public

Follow-up questions

  • Provide leadership roster, board composition, minutes, investor rights, and executive agreements.
Management, governance, and headcount signals
itempublic signalverification statusdiligence request
Senior leadership / boardNot fully verified from reviewed sourcesnot_publicly_verifiableProvide leadership roster, board minutes, committee charters, investor rights, and succession plans.
Hiring signalsVAST maintains a public careers page, indicating ongoing hiring and organizational scale signals, but role counts and attrition are not public.partially_verifiedProvide HRIS census, attrition, hiring plan, compensation, and option grants.
Key-person riskNot publicly verifiablenot_publicly_verifiableProvide executive agreements, retention packages, founder vesting, and succession plan.

VII.B Employees, compensation, and hiring

partially verified confidence: medium

Careers evidence supports hiring activity; headcount, function mix, attrition, and compensation are private.

Evidence gaps

  • Provide HRIS census, attrition, compensation, option grants, hiring plan, and contractor count.

Hidden risks

  • Hiring, culture, and key-person risk not public

Follow-up questions

  • Provide HRIS census, attrition, compensation, option grants, hiring plan, and contractor count.
Hiring and public organization signal chart Hiring and public organization signal chart

VII.C Culture, conduct, and retention

partially verified confidence: medium

Culture/conduct records and retention signals are not publicly verifiable.

Evidence gaps

  • Provide engagement surveys, investigations, complaints, attrition by manager, and retention plans.

Hidden risks

  • Hiring, culture, and key-person risk not public

Follow-up questions

  • Provide engagement surveys, investigations, complaints, attrition by manager, and retention plans.
Departures and turnover signals
signalpublic resultstatusrequest
Executive departuresNot comprehensively verified in reviewed public sourcesnot_publicly_verifiableProvide last-24-month executive departures and reasons.
Employee attritionNot disclosednot_publicly_verifiableProvide attrition by function, manager, location, and regretted/non-regretted status.
Culture/conduct mattersNot disclosednot_publicly_verifiableProvide employee relations log, investigations, claims, and survey results.
Chapter 08

08Legal and Related Matters

Material contracts, corporate records, credit agreements, and board materials are private. Privacy, data rights, security, contractual commitments, and potential IP issues require private legal/security diligence. Privacy/IP/data-rights diligence requires private schedules and security/compliance evidence.

VIII.A Corporate records and material contracts

partially verified confidence: medium

Material contracts, corporate records, credit agreements, and board materials are private.

Evidence gaps

  • Provide charter/bylaws, board minutes, investor rights, credit agreements, material customer/supplier contracts, and insurance.

Hidden risks

  • Cap table and valuation support opaque
  • Operational dependency risk

Follow-up questions

  • Provide charter/bylaws, board minutes, investor rights, credit agreements, material customer/supplier contracts, and insurance.

VIII.B Litigation, disputes, and regulatory compliance

partially verified confidence: medium

Privacy, data rights, security, contractual commitments, and potential IP issues require private legal/security diligence.

Evidence gaps

  • Provide litigation schedule, agency correspondence, permits/notices, audits, policies, and remediation evidence.

Hidden risks

  • Privacy, security, or regulatory exposure

Follow-up questions

  • Provide litigation schedule, agency correspondence, permits/notices, audits, policies, and remediation evidence.
Legal, regulatory, and privacy matters
matterpublic evidenceriskdiligence request
Enterprise data privacy/securityPrivacy policy and data platform positioningCustomer data, confidentiality, and data-residency obligationsProvide SOC/ISO, DPAs, security audits, incident logs.
Contractual SLAs/supportEnterprise platform deployment modelPerformance/support commitmentsProvide customer contracts, SLAs, support history.
IP ownershipNot fully verifiedPatent/trademark/software assignment issuesProvide IP schedule and invention assignments.
Risk heatmap Risk heatmap

VIII.C Intellectual property, data rights, and privacy

partially verified confidence: medium

Privacy/IP/data-rights diligence requires private schedules and security/compliance evidence.

Evidence gaps

  • Provide IP assignments, privacy/data maps, DPAs, subprocessors, security audits, and incident logs.

Hidden risks

  • Product and roadmap execution risk
  • Privacy, security, or regulatory exposure

Follow-up questions

  • Provide IP assignments, privacy/data maps, DPAs, subprocessors, security audits, and incident logs.
Pending litigation, IP, and agency-action requests
categorypublic resultverification statusdiligence request
Pending lawsuits against companyNot comprehensively verified from reviewed public sourcesnot_publicly_verifiableCounsel to provide litigation schedule, threatened claims, reserves, and docket search.
Lawsuits initiated by companyNot comprehensively verifiednot_publicly_verifiableProvide enforcement, collections, IP, and commercial disputes schedule.
Material IPNot comprehensively verifiednot_publicly_verifiableProvide patent/trademark/copyright/license schedule and invention assignments.
Regulatory/agency actionsNot comprehensively verifiednot_publicly_verifiableProvide agency correspondence, permits, audits, notices, and remediation history.

Evidence

Evidence claims
IDClaimStatusSources
E1 VAST Data is listed as a current CB Insights unicorn valued at $80B. verified high S1
E2 VAST Data publicly describes its core platform as an AI-era enterprise data platform and AI Operating System. verified medium S2
E3 VAST Data has multiple publicly described product components. verified medium S2
E4 VAST Data publishes public customer or market proof points. partially verified medium S3
E5 VAST Data publishes privacy or terms disclosures that show regulated or sensitive operational scope. verified medium S4
E6 VAST Data has public hiring or careers signals. partially verified medium S5
E7 VAST Data faces significant competitive pressure in enterprise storage, AI data platforms, and high-performance data infrastructure. partially verified medium S2S1
E8 VAST Data's financial statements, revenue quality, cap table, customer concentration, and legal schedules are not publicly verifiable. not publicly verifiable high S1S2
E9 VAST Data's business has material supplier, infrastructure, or partner dependencies. partially verified medium S2
E10 VAST Data's public valuation is not sufficient to verify current fair value or exit economics. not publicly verifiable high S1
Sources
IDPublisherTitleAccessed
S1 CB Insights The Complete List Of Unicorn Companies 2026-05-30
S2 VAST Data VAST Data Platform 2026-05-30
S3 VAST Data Customers | VAST Data 2026-05-30
S4 VAST Data VAST Data Privacy Policy 2026-05-30
S5 VAST Data Careers | VAST Data 2026-05-30

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.