Coralogix Startup Diligence Report
Proceed only to confirmatory diligence. The investable thesis requires proving that Coralogix’s index-free/cross-stack/AI observability positioning produces durable ARR growth, superior TCO, strong retention, attractive gross margin and manageable security/legal risk in a highly competitive observability market.
Coralogix Startup Diligence Report
Coralogix qualifies for the requested unicorn diligence report based on CB Insights/public financing evidence: a 2025 $115M Series E at over $1B valuation and user-provided CB Insights $1.12B row. Public evidence supports active product, pricing, customer, leadership, AI and security positioning, but core investment diligence remains unresolved because financials, cap table, customer revenue quality, product benchmarks and legal/security artifacts are private.
Public evidence supports unicorn eligibility but not ARR, growth, margin, burn, cash, forecast accuracy or valuation multiple.
Diligence request: Obtain audited financials, KPI pack, forecast, board materials, cash/debt schedule and quality-of-revenue analysis.
Datadog, Dynatrace, New Relic, Elastic and others provide public alternatives; Coralogix must prove differentiated TCO, performance and retention.
Diligence request: Collect win/loss, POC benchmarks, switching analysis, TCO comparisons and renewal outcomes.
Headline valuation may not reflect liquidation preferences, option-pool expansion, debt, warrants or investor control rights.
Diligence request: Review cap table, financing documents, investor rights, debt instruments, option plan and pro forma fully diluted ownership.
4,000+ team claim and WSC case study do not disclose ARR concentration, NRR, churn, contract term or severed relationships.
Diligence request: Request top-customer schedule, cohorts, churn/NRR, contracts and independent customer calls.
Telemetry/SIEM/AI products can touch sensitive customer data; public badges need report-scope validation.
Diligence request: Review SOC/ISO/PCI/GDPR artifacts, DPA/subprocessors, data-retention controls, AI governance and privacy/security incidents.
Index-free, remote-query, customer-bucket and DataPrime claims require proof under real workloads and across cloud/security configurations.
Diligence request: Run technical diligence covering architecture, scale benchmarks, incident history, roadmap, cloud cost and support load.
Leadership and careers pages are visible, but headcount, attrition, compensation, employee relations and hiring-plan affordability are private.
Diligence request: Request HRIS, comp/equity plans, attrition, open roles, employee-relations disclosures and management references.
Public search limitations prevent legal clearance; material contracts and insurance schedules are private.
Diligence request: Counsel should conduct formal docket/IP searches and review contracts, policies, claims history and acquisition documents.
Coralogix is eligible for a unicorn report based on CB Insights and the 2025 Series E, but investment-grade financial statements, KPIs, cap table and terms are private.
not publicly verifiable confidence: low
Public sources do not disclose audited financial statements, management reports, sales/gross-profit breakdowns, backlog or AR aging. Public evidence is limited to financing announcements, pricing and company traction statements.
| topic | public status | why it matters | priority request |
|---|---|---|---|
| Audited financials and management accounts | Not public | Needed to verify ARR, growth, margin, cash burn and working capital. | Audited statements and monthly management pack. |
| ARR/bookings/NRR/churn | Not public | Public customer counts do not prove revenue quality. | KPI pack by product, geography and cohort. |
| Cap table and preferences | Not public | Headline post-money valuation can obscure liquidation stack and dilution. | Current cap table, option pool, SAFE/notes, warrants and investor rights. |
| Cloud costs and gross margin | Not public | Remote query and customer-bucket architecture may change gross margin and support economics. | COGS, cloud commitments and support cost model. |
partially verified confidence: medium
Public pricing and financing materials support a growth narrative, but no three-year model, growth-driver bridge, budget-to-actuals, FX/geography exposure or financing assumptions are public.
partially verified confidence: medium
The cap table, shares outstanding, options, warrants, debt and off-balance-sheet liabilities are private. Public data only identifies some round amounts, valuation and investors.
partially verified confidence: medium
Public financing history includes a $142M Series D and $115M Series E at over $1B valuation; tax positions, revenue recognition, accounting policies and financing terms remain private.
| date or period | event | public amount or valuation | investors or participants | diligence implication |
|---|---|---|---|---|
| 2022 | Series D company announcement | $142M raised | Not fully extracted from public source in this report | Supports late-stage financing history but not terms or revenue multiple. |
| 2025-06-17 | Series E / unicorn announcement | $115M raised at valuation over $1B | Led by NewView; CPPIB and NextEquity participated; existing investors included Advent, Brighton Park, Revaia, Greenfield, Red Dot, O.G. Tech, Joule, Maor. | Corroborates unicorn eligibility; terms and liquidation stack remain private. |
| 2025-06-17 | CB Insights unicorn row | $1.12B valuation | NewView Capital, Brighton Park Capital, Aleph | Market-database screen to reconcile against financing documents. |
Amounts are public statements; no primary financing documents were reviewed.
Public product and pricing pages show an active observability platform with DataPrime, AI and security modules; product economics and independent technical validation remain open.
partially verified confidence: medium
Coralogix publicly describes a full-stack observability, SIEM, RUM, APM, DataPrime and AI observability platform with volume-based pricing. Market share, product-level margin and independent growth rates are not public.
| capability area | public claim | evidence strength | diligence implication |
|---|---|---|---|
| Telemetry ingestion and querying | Capture logs, metrics, traces and profiles; remote/index-free querying. | Company-claimed | Benchmark ingest, query latency, retention and outage behavior. |
| DataPrime | AI-native query language with cross-signal joins. | Company-claimed | Test analyst/developer workflow speed and learning curve. |
| AI observability | AI Center for quality, safety and visibility. | Company-claimed | Validate governance, privacy and adoption with AI customers. |
| Storage/control model | Customer cloud bucket / no lock-in positioning. | Company-claimed | Review access controls, data residency, cloud costs and liability. |
| metric | public list price | packaging note | unknown for diligence |
|---|---|---|---|
| Logs | $0.42/GB | Volume-based listed price. | Discounts, committed spend, gross margin and overage terms. |
| Traces | $0.16/GB | Volume-based listed price. | Trace sampling economics and contract bundles. |
| Metrics | $0.05/GB | Volume-based listed price. | Metric cardinality limits and COGS impact. |
| AI | $1.50 per 1M tokens | AI token usage pricing. | Model-provider costs, margins and AI governance obligations. |
Public customer evidence is meaningful but company-controlled; top-customer revenue, retention, concentration and supplier dependencies remain private.
partially verified confidence: medium
Public customer evidence includes a 4,000+ teams claim, enterprise logos and WSC Sports case-study metrics. The top-15 customer list by application and timing of purchases is private.
| signal | public evidence | strength | validation needed |
|---|---|---|---|
| Customer/team count | Trusted by over 4,000 teams worldwide. | Broad company-published traction signal | Unique paying customers, ARR distribution, active usage and churn. |
| Enterprise logos | Palo Alto, monday, Adobe, Puma, WSC Sports and others shown on customer page. | Logo signal | Logo authorization, contract status and revenue contribution. |
| WSC Sports scale | 12TB daily ingestion, 700 microservices, 300 daily users. | Named case-study usage metrics | Direct reference call, contract value and renewal/expansion status. |
| WSC value claim | 50% cost savings. | Compelling but company-hosted | Before/after invoices and competing solution baseline. |
partially verified confidence: medium
The Aporia acquisition and customer logos are visible, but strategic partnership revenue contribution and marketing agreements are not public.
not publicly verifiable confidence: low
Revenue by customer, concentration above 5%, contract value and renewal status are not public despite customer/logo evidence.
| diligence area | public visibility | risk if unverified | requested artifact |
|---|---|---|---|
| Top-15 customers | Not public | Hidden concentration or logo/non-paying-account inflation. | Top customer ARR, term, renewal date, use case and expansion status. |
| NRR/churn cohorts | Not public | Growth may rely on new bookings rather than durable expansion. | Cohort NRR, GRR, logo churn and downgrade analysis. |
| Severed relationships | Not public | Lost flagship accounts or partner disputes may be hidden. | Churned customers, severed partners and supplier incidents from last 24 months. |
| Cloud/supplier dependencies | Partially visible through customer-cloud architecture claims | COGS, latency, support and data-governance liabilities may be mis-modeled. | Cloud agreements, customer-bucket architecture, subprocessors and support tickets. |
not publicly verifiable confidence: low
No severed customer, partner or supplier relationship schedule was publicly available in this review.
partially verified confidence: medium
Public platform claims imply customer-cloud and telemetry-infrastructure dependencies, but supplier spend, cloud commitments and agreements are private.
Coralogix has clear differentiated positioning, but competes in a crowded observability market where price, performance and switching economics require direct benchmarking.
partially verified confidence: medium
Coralogix competes in a crowded observability/telemetry market against broad platforms with public pricing and packaging. Public evidence supports positioning around cost, architecture and cross-stack breadth, but not win rate or market share.
| basis | coralogix public position | competitive question | evidence needed |
|---|---|---|---|
| Cost/TCO | Transparent volume pricing and cost optimization. | Does realized TCO beat Datadog/Dynatrace/New Relic/Elastic at scale? | Matched workload benchmarks and customer invoices. |
| Architecture | Index-free/remote query and customer bucket claims. | Can it sustain performance and reliability without buyer friction? | Architecture review, POCs and incident metrics. |
| Breadth | Logs, metrics, traces, APM, RUM, SIEM and AI observability. | Is breadth natively integrated or sold as adjacent modules? | Product attach, module-level revenue and customer references. |
| Support/service | Company/customer pages mention fast support in case-study context. | Is support quality scalable at 4,000+ teams? | Support SLAs, ticket volume, CSAT and renewal links. |
| benchmark | requested method | risk addressed | priority |
|---|---|---|---|
| POC win/loss by competitor | CRM export and interview sales engineering leaders. | Differentiation may be marketing-led rather than buyer-proven. | High |
| Matched ingest/query workload | Run logs/traces/metrics benchmark across representative customer workloads. | Index-free architecture may have performance tradeoffs. | High |
| TCO and gross margin by workload | Compare customer invoices, COGS and support load. | Price competition can compress margin. | High |
| Migration friction and retention | Customer calls and churn/postmortem review. | Switching-cost assumptions may be overstated. | Medium |
Public GTM assets support a coherent enterprise SaaS motion, but the sales productivity model, CAC/payback and pipeline quality are not public.
partially verified confidence: medium
Public GTM relies on transparent pricing, demo-led enterprise sales, customer case studies, integrations, funding PR and category positioning around complete observability and AI.
| channel or asset | public signal | likely role | diligence follow up |
|---|---|---|---|
| Pricing page | Transparent volume list prices. | Self-serve qualification and enterprise TCO conversation. | Measure pricing-page conversion and discount waterfall. |
| Demo motion | Homepage/platform calls-to-action. | Enterprise sales lead capture. | Pipeline source, win rate and cycle length by segment. |
| Case studies/customer logos | 4,000+ teams and named WSC case study. | Social proof for observability buyers. | Reference calls and logo-to-revenue reconciliation. |
| AI observability/funding PR | Series E positioned around AI-powered observability and AI Center. | Category expansion and late-stage credibility. | Pipeline attribution to AI messaging and Aporia integration. |
partially verified confidence: medium
Public major-customer proof points are present, but account-level status, pipeline and expansion plans are private.
partially verified confidence: medium
Public avenues include website pricing, demo conversion, customer proof, partner/integration ecosystem, enterprise sales and AI-observability thought leadership.
not publicly verifiable confidence: low
Sales compensation, quota, cycle length, ramp, pipeline coverage, CAC and payback are not publicly disclosed.
| input | public status | why needed | requested cut |
|---|---|---|---|
| Quota and attainment | Not public | Validates sales capacity and forecast credibility. | By region, segment, rep vintage and manager. |
| Sales cycle and win rate | Not public | Measures buyer urgency and competitive pressure. | By source, competitor, ACV band and product. |
| CAC and payback | Not public | Determines whether public growth is efficient. | New/logo expansion, enterprise/midmarket and geography. |
| Pipeline coverage | Not public | Tests marketing-plan feasibility against budgets. | Weighted/unweighted pipeline, source and stage aging. |
partially verified confidence: medium
The Series E and public marketing activity suggest available growth capital, but GTM budget, hiring plan and CAC efficiency are private.
R&D appears centered on DataPrime, cross-stack architecture and AI observability; execution, AI governance, roadmap cost and technical debt remain diligence gaps.
partially verified confidence: medium
Public product materials and leadership pages show active platform/R&D themes, but engineering org chart, technical debt, reliability history and development cost are private.
| workstream | questions | evidence to request | risk link |
|---|---|---|---|
| Architecture and scalability | How does index-free/remote query perform under high-cardinality workloads? | Reference architecture, benchmarks, SLOs, incident postmortems. | R-005 |
| DataPrime usability | Do customers adopt DataPrime or stay with legacy query patterns? | Usage cohorts, training data, query latency and support tickets. | R-005 |
| AI governance | How are prompts, tokens, models, PII and hallucination risk controlled? | AI architecture, subprocessors, privacy review, eval logs. | R-006 |
| Security/compliance | Are SOC/ISO/PCI claims current and scoped to key services? | SOC 2 report, ISO certificate, PCI AoC, pen tests, risk register. | R-006 |
partially verified confidence: medium
Public roadmap signals emphasize AI observability, DataPrime, Aporia/Olly integration and cost optimization. Release timing, roadmap commitments, R&D budget and product risks require diligence.
| initiative | public signal | potential value | execution risk |
|---|---|---|---|
| DataPrime | AI-native language and cross-signal joins. | Improved analyst/developer workflow and differentiated query experience. | Adoption friction, performance at scale and interoperability. |
| AI Center / AI observability | Company positions AI Center for visibility into AI quality and safety. | TAM expansion into AI application governance/monitoring. | Privacy, model-cost, explainability and buyer education. |
| Aporia / Olly AI | Series E announcement references Aporia acquisition and Olly AI agent. | Acquired AI monitoring and agent capabilities. | Integration, retained talent and product-market fit. |
| Remote/index-free architecture | Platform claims customer bucket and no lock-in. | Potential TCO and data-control differentiation. | Security model, cloud costs and query performance. |
Public leadership and hiring materials support active operations, but full org, compensation, incentives and retention require HR diligence.
partially verified confidence: medium
Public pages list the executive team but do not provide a full organization chart, reporting lines below executives or board/investor roles.
Reporting lines are inferred for display convenience and must be verified.
partially verified confidence: medium
About and careers pages show a global operating footprint and hiring posture, but historical/projected headcount by function/location is private.
| area | public visibility | risk if unverified | request |
|---|---|---|---|
| Headcount by function/location | Global team across four continents stated, details not public. | Operating leverage and hiring plan may be misestimated. | Monthly headcount by function, location and employment type. |
| Compensation and benefits | Not public | Retention/cost model and compliance unknown. | Comp bands, benefits, employment agreements and contractor policies. |
| Option/incentive plan | Not public | Dilution and retention cliff risk may be hidden. | Option pool, refresh, vesting, exercise prices and grants by role. |
| Turnover and employee relations | Not public | Attrition or cultural issues may impair execution. | Regretted attrition, exits, claims, investigations and engagement surveys. |
partially verified confidence: medium
Company materials identify senior leaders and co-founders. Background checks, reference calls and tenure verification are still required.
| name | public role | public context | diligence follow up |
|---|---|---|---|
| Ariel Assaraf | CEO & Co-founder | Founded Coralogix in 2014 after log-data struggles; associated with $320M raised and 4,000+ customers in company bio. | Founder reference checks, role scope, succession and board dynamics. |
| Yoni Farin | CTO & Co-founder | Listed as CTO and co-founder. | Technical leadership, architecture ownership and retention. |
| Chetan Chaudhary | CRO | Listed in leadership team. | Sales productivity, forecast process and enterprise GTM references. |
| Yael Sapir-Zahavi / Eran Hadad / Brian Mullen | CHRO / CFO / CMO & Strategic Partnerships | Listed in leadership team. | HR, finance, marketing and partnership operating diligence. |
not publicly verifiable confidence: low
Key employment agreements, executive compensation and benefit plans were not publicly available.
not publicly verifiable confidence: low
Option pool, equity plan, vesting, refresh grants and dilution are private.
not publicly verifiable confidence: low
No reliable public schedule of employee-relations problems was available; this cannot be treated as a clean finding.
not publicly verifiable confidence: low
Turnover, regretted attrition, retention grants and benefit-plan effectiveness are private.
Security/compliance claims are visible, but legal, IP, insurance, privacy, regulatory and material-contract diligence cannot be completed from public sources.
inconclusive confidence: low
No complete public lawsuit schedule was available and public-search access was incomplete, so pending lawsuits against the company remain inconclusive.
inconclusive confidence: low
No complete public schedule of company-initiated lawsuits was available; counsel should run docket searches across relevant jurisdictions.
partially verified confidence: medium
As a software company, environmental exposure appears lower than industrial sectors, while security/privacy and workplace issues are the more relevant safety/regulatory diligence streams.
| area | public signal | potential relevance | validation needed |
|---|---|---|---|
| SOC 2 | Security page badge/claim. | Enterprise SaaS trust and customer procurement. | Latest SOC 2 Type II report, bridge letter, exceptions and scope. |
| ISO 27001 | Security page badge/claim. | Security-management maturity and global enterprise sales. | Certificate scope, issuing body, expiration and exclusions. |
| PCI DSS / GDPR | Security page badge/claim. | Payment/security and privacy obligations for customer telemetry. | AoC, DPA, subprocessors, transfer mechanism and DPIA process. |
| AI/SIEM regulatory posture | AI observability and SIEM positioning. | Security monitoring and AI telemetry can process sensitive data. | Privacy/security legal review, model governance and data-retention controls. |
inconclusive confidence: low
Material IP ownership, patents, trademarks, open-source obligations and acquired Aporia IP assignments were not publicly verifiable in sufficient detail.
| legal area | public status | specific risk | request to counsel or company |
|---|---|---|---|
| Litigation | Inconclusive public search | Pending claims, disputes or settlements may not be surfaced. | Docket search and management litigation certificate. |
| IP ownership and open-source | Not complete publicly | Unassigned IP, license contamination or acquisition integration issues. | Patent/trademark schedule, invention assignments, OSS scan and Aporia IP docs. |
| Material contracts | Not public | Customer/SLA, cloud, reseller, investor or acquisition obligations may constrain economics. | MSAs, DPAs, cloud/supplier agreements, reseller agreements and investor rights. |
| Insurance | Not public | Cyber, E&O, D&O or EPLI gaps may expose investors/customers. | Insurance schedule, claims history, limits, retentions and exclusions. |
not publicly verifiable confidence: low
Cyber, E&O, D&O, EPLI and general liability coverage schedules are private.
not publicly verifiable confidence: low
Customer MSAs, DPAs, cloud/supplier agreements, reseller arrangements, acquisition agreements and investor rights are private.
inconclusive confidence: low
No public regulatory agency problem schedule was found; privacy, security, SIEM and AI-observability obligations need counsel/security review.
| ID | Claim | Status | Sources |
|---|---|---|---|
| EC-001 | CB Insights/public unicorn-screen data identifies Coralogix as a private unicorn with $1.12B valuation and a 2025-06-17 date joined. | verified high | SRC-001 |
| EC-002 | A 2025 Series E financing publicly stated $115M raised at a valuation over $1B. | verified high | SRC-002 |
| EC-003 | Coralogix publicly announced a $142M Series D financing before the 2025 Series E. | verified medium | SRC-003 |
| EC-004 | Coralogix publicly markets a full-stack observability/security platform with index-free and remote-query architecture claims. | verified medium | SRC-004SRC-006 |
| EC-005 | Coralogix publishes volume-based list pricing for logs, traces, metrics and AI tokens. | verified high | SRC-005 |
| EC-006 | Coralogix states it is trusted by more than 4,000 teams worldwide and displays enterprise logos. | partially verified medium | SRC-009SRC-011SRC-012 |
| EC-007 | The WSC Sports case study reports large-scale use and cost savings after adopting Coralogix. | partially verified medium | SRC-010 |
| EC-008 | Coralogix publishes an executive team and company history consistent with an active growth-stage operating company. | verified medium | SRC-011 |
| EC-009 | Coralogix recruiting material signals ongoing hiring and unicorn positioning. | verified medium | SRC-012 |
| EC-010 | Coralogix presents public security/compliance badges including SOC 2, PCI DSS, ISO 27001 and GDPR. | partially verified medium | SRC-013 |
| EC-011 | The 2025 financing announcement links the AI strategy to Aporia acquisition and Olly AI/AI Center initiatives. | verified medium | SRC-002 |
| EC-012 | DataPrime is marketed as an AI-native observability query language capable of cross-signal joins. | verified medium | SRC-007 |
| EC-013 | Coralogix markets AI Center as a visibility layer for AI quality, safety and cost monitoring. | verified medium | SRC-008 |
| EC-014 | Core financial statements, management reports, budget-to-actuals, backlog and AR aging were not publicly available in this review. | not publicly verifiable high | SRC-001SRC-002SRC-003SRC-005 |
| EC-015 | Customer revenue concentration, NRR, churn, contract terms and top-15 customer schedule are not publicly verifiable. | not publicly verifiable high | SRC-009SRC-010 |
| EC-016 | Litigation, material contracts, insurance and complete IP ownership schedules were not publicly verifiable in this review. | inconclusive medium | SRC-018SRC-013 |
| EC-017 | Coralogix operates in a crowded observability market with multiple public alternatives and pricing models. | verified medium | SRC-014SRC-015SRC-016SRC-017SRC-005 |
| EC-018 | Coralogix’s positioning includes customer-cloud storage and no-vendor-lock-in claims that may shift supplier, architecture and security diligence toward customer-cloud dependencies. | partially verified medium | SRC-006 |
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.