Strengths
- Public sources support Sift as a 2021 $1B+ private unicorn.
- Sift publicly markets an active AI-powered fraud decisioning platform.
- Current leadership, LinkedIn and job postings support active private-company status.
Diligence report
Sift
Sift Startup Diligence Report
Proceed to confirmatory diligence only if Sift can prove durable ARR growth, strong NRR, low concentration, differentiated model performance, acceptable data/privacy controls, defensible IP and current financing terms that justify or improve on the stale April 2021 unicorn valuation.
Company profile
Sift Startup Diligence Report
Sift appears to be an active, private U.S. fraud-prevention unicorn: public unicorn lists, TechCrunch financing coverage, current company website, jobs and LinkedIn all support eligibility. The product/category and customer/network claims are credible as public signals, but investment-grade diligence remains dominated by private gaps in ARR, retention, concentration, cap table, model performance, security/privacy, legal and contracts.
- Website
- sift.com
- Sector
- Fraud prevention, digital trust and risk-based authentication software
- Geography
- United States / San Francisco with global digital-business customers
- Stage
- Private unicorn / growth-stage SaaS fraud-prevention platform
- Known aliases
- Sift Science, Sift Science, Inc., Sift Stack
- Report version
- 1.0
- Timezone
- UTC
Executive summary
Risks
- Financial quality, ARR, margins and cash/runway are not public.
- Customer concentration, churn and renewal quality are unknown despite public logos.
- Competitive pressure from Forter, Riskified, Signifyd, SEON and internal risk engines could pressure growth and pricing.
Gaps
- Audited financials, ARR/bookings, gross margin, cash, debt, budget-to-actuals and forecast model.
- Current cap table, liquidation preferences, option pool, debt, warrants and valuation support.
- Top-customer ARR, concentration, NRR/churn cohorts, contract terms and independent customer references.
- Model performance, false-positive rates, chargeback/fraud outcomes, uptime, incidents and security/SOC reports.
- Privacy/regulatory correspondence, DPAs, material contracts, litigation, insurance and complete IP assignments/FTO.
Risk register
R-003: Stale valuation and financing terms risk
The public unicorn valuation dates to April 2021; current preferred terms, liquidation stack, debt and secondary pricing are not public.
Diligence request: Request full cap table, financing documents, preference stack, option pool, debt instruments and any secondary/down-round indications.
R-004: Crowded fraud-prevention competitive landscape
Forter, Riskified, Signifyd, SEON and other providers advertise overlapping fraud and ecommerce-risk products.
Diligence request: Run win/loss calls, pricing benchmark, analyst/customer references and differentiated-model performance tests.
R-005: Model accuracy, drift and false-positive economics
Sift sells AI/ML fraud decisioning; model drift, false positives, underperformance or opaque decisions can damage customers and retention.
Diligence request: Request model-performance dashboards, false-positive/chargeback cohorts, explainability policies, incident logs and customer SLA data.
R-006: Privacy, profiling and regulatory exposure
Fraud-prevention services involve personal data, machine-learning/profiling, third-party integrations and international privacy regimes.
Diligence request: Counsel should review DPA templates, privacy impact assessments, regulator correspondence, SOC/security reports and data-transfer mechanisms.
R-001: Financial quality and ARR are not public
Audited financials, ARR, bookings, gross margin, NRR, churn, cash, debt and forecast accuracy are unavailable publicly.
Diligence request: Require audited financial statements, management KPI pack, ARR bridge, cohort retention, cash/debt schedule and forecast model.
R-002: Customer concentration and renewal quality unknown
Public logos and case studies do not disclose top-customer ARR, contract terms, churn, NRR or customer concentration.
Diligence request: Request top-25 customer schedule, renewal calendar, cohort retention, reference calls and lost-customer analysis.
R-008: Leadership transition and hiring execution risk
Current leadership is public and hiring is active, but executive retention, attrition and quota capacity are not public.
Diligence request: Review HRIS, attrition, sales capacity, compensation, leadership contracts and hiring-plan attainment.
R-010: Pricing and guarantee pressure versus competitors
Public pricing is absent while competitors advertise overlapping fraud/chargeback products; procurement may compare guarantees and unit economics.
Diligence request: Benchmark realized ACV, discounts, guarantee/liability terms, gross margin and competitive deal losses.
01Financial Information
Sift has strong public financing evidence for private-unicorn status, including a 2021 $50M round at over $1B, but operating financials, current valuation support, cap table, debt, ARR and unit economics are not publicly verifiable.
I.A Annual and quarterly financial information for the past three years
not publicly verifiable confidence: low
Public evidence provides selective usage and business-scale signals but not audited financial statements, budget-to-actuals, backlog, AR aging or product/geography gross profit.
Evidence gaps
- Audited financials, management accounts, ARR/bookings, gross margin, cash/debt, backlog, AR aging and revenue by product/channel/geography.
Hidden risks
- R-001 and R-002 remain unresolved until financial and customer schedules are provided.
Follow-up questions
- Provide three years of audited financials, monthly KPI pack, ARR waterfall, budget-to-actuals, backlog, AR aging, cash/debt and revenue/margin splits.
| metric | public signal | investment relevance | verification status |
|---|---|---|---|
| Revenue/ARR | TechCrunch reported Sift would not reveal hard revenue figures; management said business tripled since June 2018 | ARR, NRR and gross margin are central underwriting variables | not_publicly_verifiable |
| Transaction volume assessed | More than $250B in transactions assessed in 2020, double 2019 | Signals product usage and customer value, not revenue quality | partially_verified |
| Loss prevention | Homepage claims $4.2M median losses prevented annually per customer | Supports ROI selling motion but needs customer-level proof | partially_verified |
| Cash, debt, AR aging, backlog, tax and accounting policies | No public schedules found | Required for quality-of-earnings and runway analysis | not_publicly_verifiable |
I.B Financial Projections
not publicly verifiable confidence: low
No public projections were found. Public data supports a large market and product/customer traction, but forecast assumptions, capital needs and predictability require management materials.
Evidence gaps
- Three-year operating model, scenarios, budget-to-actual history, capex/cloud assumptions, hiring plan, financing plan and downside case.
Hidden risks
- Stale valuation and undisclosed current financing assumptions could materially affect investor returns.
Follow-up questions
- Provide the board-approved forecast model and explain assumptions for ARR, NRR, churn, pricing, CAC, gross margin, cloud cost and hiring.
I.C Capital Structure
partially verified confidence: medium
Investors and major funding rounds are public, but share counts, option pool, preferences, debt, warrants and off-balance-sheet obligations are private.
Evidence gaps
- Current cap table, option ledger, SAFEs/notes/warrants, debt instruments, preference stack, board rights and secondary transactions.
Hidden risks
- Preferred-stack and current valuation terms may differ materially from headline unicorn valuation.
Follow-up questions
- Provide fully diluted cap table, financing docs, option ledger, investor consents, debt/warrant schedules and current valuation analysis.
| stakeholder | public position | diligence caveat | verification status |
|---|---|---|---|
| Insight Partners | Led 2016 Series C; led 2021 $50M round; investor/board signal in TechCrunch | Exact shareholding, preferences and board rights not public | partially_verified |
| Union Square Ventures and Spark Capital | Prior/participating investors in 2016 and public unicorn-list investor row | Current ownership and pro-rata rights not public | partially_verified |
| Stripes Group / Stripes | 2018 Series D lead; participated in 2021 round | Current stake and terms not public | partially_verified |
| Employees, option holders, debt holders | No public schedule found | Request cap table, option ledger, notes/warrants and debt instruments | not_publicly_verifiable |
I.D Other financial information
partially verified confidence: medium
Public financing history is reasonably documented for 2016, 2018 and 2021 rounds, but tax, accounting policies and complete financing basis are private.
Evidence gaps
- Tax schedules, revenue recognition memos, financing ledgers, investor basis and accounting policies.
Hidden risks
- Tax positions, revenue-recognition policy and financing terms can materially alter quality-of-earnings and valuation.
Follow-up questions
- Provide tax returns/NOLs, revenue-recognition policy, financing history with ownership percentages and current investor basis.
| date | round | amount usd m | lead or participants | post money or total | verification status |
|---|---|---|---|---|---|
| 2016-07-19 | Series C | 30 | Insight Venture Partners; Union Square Ventures and Spark Capital participated | Total funding reported at $54M | verified via company press release |
| 2018-03-21 | Series D | 53 | Stripes Group; SPINS, Remitly, Flatiron Health, Udemy, GrubHub, USV, Insight, Spark | Total funding reported at $107M | verified via independent news |
| 2021-04-22 | Growth / unicorn round | 50 | Insight Partners led; Union Square Ventures and Stripes participated | Valuation over $1B; total funding $157M | verified via TechCrunch and unicorn databases |
| 2026-05-27 | Current financing status | — | Not public | Current preferred value, debt and secondary pricing not public | not_publicly_verifiable |
Funding table intentionally omits undocumented earlier rounds rather than guessing.
02Products
Sift publicly markets a live AI-powered fraud decisioning platform with payment, account, content, score API and partner/authentication capabilities. Product existence is verified, but pricing, roadmap, performance and margins remain private.
II.A Description of each product
partially verified confidence: medium
Public materials verify product categories and use cases, but not growth rates, market share, product-level profitability, model accuracy or roadmap timing.
Evidence gaps
- Product-level ARR, attach, gross margin, roadmap, model KPIs, uptime, implementation time and customer references by SKU.
Hidden risks
- AI decisioning errors, implementation complexity and undisclosed pricing can pressure retention and gross margin.
Follow-up questions
- Provide product roadmap, module-level ARR/gross margin, uptime/SLA, model-performance and false-positive metrics, implementation cohorts and pricing sheets.
| product | target user or problem | public evidence | verification status |
|---|---|---|---|
| Payment Protection | Detect/prevent fraudulent transactions and manage payment risk | Platform page lists Payment Protection as established product | verified |
| Account Defense | Account takeover, fake accounts and account abuse | Homepage/platform navigation lists Account Defense and ATO/account creation solutions | verified |
| Content Integrity | Spam, scams and abusive user-generated content | Platform product card describes Content Integrity | verified |
| Sift Score API | External context for internally built risk models | Platform page says Score API provides real-time risk scores powered by 1T annual consortium events | verified |
| Risk-Based Authentication / partnerships | Reserve friction for risky users and support identity/payment integrations | Platform/partner pages describe risk-based authentication and technology partners | partially_verified |
| item | public observation | diligence request | verification status |
|---|---|---|---|
| List pricing | /pricing/ returned a Sift 404 page; no public price table observed | Current price book by product, tier, usage and minimum commitment | not_publicly_verifiable |
| Enterprise sales motion | Homepage uses Demo Sift CTA and Ashby lists enterprise account executive roles | Pipeline, quota, ACV, sales cycle and win/loss data | partially_verified |
| Product gross margin and professional services | No public product-level margin or services attach data | COGS, cloud spend, support/services gross margin and implementation hours | not_publicly_verifiable |
| Guarantees/liability terms | Not disclosed publicly; competitor set includes chargeback/fraud-protection offerings | MSA templates, indemnities, SLAs, guarantees and liability caps | not_publicly_verifiable |
03Customer Information
Public evidence supports broad customer-logo and network-scale claims, including 700+ brands and named case studies, but top-customer revenue, concentration, churn, NRR and severed relationships are private.
III.A Top customers by application
partially verified confidence: medium
Public customer evidence includes Patreon and other named logos, but the top-15 customer schedule by application is not public.
Evidence gaps
- Top-15 customer list by ARR/application, purchase timing, contract term, renewal status and customer references.
Hidden risks
- Logo concentration could hide dependency on a small number of high-ARR customers.
Follow-up questions
- Provide top-25 customer ARR and application list, contract summaries, renewal/churn status and permission for reference calls.
| customer or logo | public source | use case or signal | verification status |
|---|---|---|---|
| Patreon | Sift case study | Fraud operations, content/payment/account protection; case study claims 19x ROI and 99.37% acceptance | partially_verified |
| Poshmark, Swan Bitcoin, Harry’s, Patreon | Sift homepage | Named industry leaders relying on Sift | partially_verified |
| DoorDash, Yelp, Poshmark | Sift about page / LinkedIn | Brands referenced for AI-powered platform adoption | partially_verified |
| Twitter, Airbnb, Twilio, DoorDash, Wayfair, McDonald’s | TechCrunch 2021 | Historical marquee customers and several-hundred customer scale | verified historical, current status unknown |
| Link Money, Reward Gateway | Edenred, Lunchbox | Sift customer-story index | Published case-study titles in fintech/software/commerce | partially_verified |
No row should be interpreted as current revenue contribution or reference-call validation.
III.B Strategic relationships
partially verified confidence: medium
Sift publicly markets a partner ecosystem, but partner revenue, marketing agreements and integration activity are not public.
Evidence gaps
- Partner agreements, revenue contribution, active integrations, reseller margin and co-marketing commitments.
Hidden risks
- Partner logos may not translate into active revenue or durable integrations.
Follow-up questions
- Provide partner contract list, partner-sourced pipeline/ARR, integration usage and channel conflict analysis.
| partner or category | nature | public evidence | gap |
|---|---|---|---|
| Authorized resellers | Sell Sift products directly to customers | Partner page describes authorized reseller track | Contracts, margins, active reseller count and channel revenue |
| Technology partners | Integrate with Sift platform for joint solutions | Partner page describes technology partner track | Integration usage, support obligations and data sharing |
| Service providers | Implementation, optimization and managed services | Partner page describes service-provider track | Services attach rate and quality controls |
| Google, TTEC, Checkout.com, Incode, Primer, Okta, Ping Identity | Named trusted partner logos | Partner page logo list | Active contracts, exclusivity, partner-generated ARR |
III.C Revenue by customer
not publicly verifiable confidence: low
No public source discloses revenue by customer or whether any customer exceeds 5% of revenue.
Evidence gaps
- Customer ARR by account, 5%+ revenue customers, renewal dates, churn/NRR cohorts and revenue-recognition terms.
Hidden risks
- Undisclosed concentration can create renewal, pricing and valuation risk.
Follow-up questions
- Provide revenue by customer for the last three fiscal years and current YTD, with 5%+ customer flags and renewal status.
III.D Significant relationships severed within the last two years
not publicly verifiable confidence: low
No public lost-customer or severed-partner schedule was available.
Evidence gaps
- Lost-customer log, churn reasons, partner terminations, settlement terms and logo-removal history.
Hidden risks
- Recent churn or partner loss may be invisible in public-logo materials.
Follow-up questions
- Provide all customer, partner and supplier relationships severed or materially reduced in the last two years.
III.E Top suppliers
not publicly verifiable confidence: low
Sift’s most visible dependencies are its data network, customer integrations and technology partners; top suppliers and purchase amounts are private.
Evidence gaps
- Top suppliers, cloud contracts, data-processing agreements, purchase volumes, SLAs and supplier concentration.
Hidden risks
- Loss of data contributors, cloud disruption or partner-integrations failure could affect model performance and SLAs.
Follow-up questions
- Provide top-supplier schedule, cloud/infra contracts, DPA/vendor-risk files, partner SLAs and incident history.
| dependency | role | public evidence | risk or request |
|---|---|---|---|
| Customer and consortium event data | Feeds fraud models and identity graph | 1T+ annual events, 34K+ sites/apps and 700+ brands | Review data contribution rights, consent, data quality and loss of major contributors |
| Cloud/hosting and model infrastructure | Operate APIs, console and real-time scoring | Not specifically disclosed in public sources | Request cloud contracts, architecture, DR/BCP and uptime history |
| Identity/payment technology partners | Risk-based authentication, payment and identity integrations | Partner page names technology partners such as Okta, Ping Identity, Checkout.com and Primer | Review integration SLAs, data sharing and failure modes |
| Recruiting/workforce systems | Hiring and ATS operations | Ashby hosts public Sift job board | Operationally minor but confirms SaaS dependency and dynamic hiring data |
04Competition
Sift operates in a crowded fraud-prevention market with public overlap against Forter, Riskified, Signifyd, SEON and internal risk engines. Differentiation depends on data, model performance, workflow depth, pricing and customer ROI proof.
IV.A Competitive landscape by market segment
partially verified confidence: medium
Public competitor pages show overlapping fraud, payment, account and ecommerce-risk offerings. Sift’s public differentiators are data-network scale, AI/ML decisioning, workflow/case tooling and patents.
Evidence gaps
- Current win/loss, analyst reports, price benchmarks, competitive displacement, customer references and TAM/SAM by segment.
Hidden risks
- Competitors with chargeback guarantees, public-company transparency or deeper ecommerce focus may pressure Sift pricing and retention.
Follow-up questions
- Provide competitor win/loss pack, pricing benchmark, top displacement cases, analyst references and current market-sizing analysis.
| competitor | segment | overlap with sift | differentiator to validate |
|---|---|---|---|
| Forter | Identity intelligence and digital commerce fraud | Fraud management, payment optimization, account protection | Compare consortium data, chargeback liability, approval lift and global coverage |
| Riskified | Ecommerce fraud and chargeback protection | Fraud prevention, chargeback decisions, adaptive checkout | Compare guarantee economics, ecommerce focus and public-company transparency |
| Signifyd | Ecommerce fraud protection and shopper journey trust | Fraud prevention, conversion lift, customer loyalty/trust | Compare claims, liability model and merchant ROI |
| SEON | AI fraud prevention and AML compliance | Fraud APIs, risk scoring, compliance workflows | Compare AML/regulatory modules, SMB/midmarket reach and data enrichment |
| In-house risk engines and payment processors | Internal models, PSP risk products and bank/payment fraud tools | Score API and risk-decision augmentation | Validate ROI versus build/buy and integration cost |
| axis | sift public position | competitive pressure | verification status |
|---|---|---|---|
| Data network scale | 1T annual events, 34K+ sites/apps, 700+ brands | Competitors also market AI/data network decisioning | partially_verified |
| Decision accuracy and false positives | AI/ML models, identity insights, Patreon 99.37% acceptance claim | Competitors sell approval lift/chargeback protection | partially_verified |
| Workflow/case management | Platform claims case management, workflows, reporting and patents around workflows | Enterprise fraud teams compare workflow depth and implementation speed | partially_verified |
| Pricing and liability/guarantees | No public pricing/guarantee evidence | Competitors may compete on guarantees, indemnities or transaction-based pricing | not_publicly_verifiable |
05Marketing, Sales, and Distribution
Sift’s public GTM signals include direct demo-led sales, public customer stories, reports/resources, partner programs and open sales roles. Actual pipeline, conversion, quotas, CAC/payback and channel revenue are not public.
V.A Strategy and implementation
partially verified confidence: medium
Public materials position Sift around revenue growth from risk, customer stories, reports and partner ecosystem; implementation budget and marketing ROI are private.
Evidence gaps
- Marketing plan, spend by channel, MQL/SQL conversion, campaign ROI and geographic coverage.
Hidden risks
- Marketing claims may overstate ROI if customer proof, attribution and renewal data are weak.
Follow-up questions
- Provide marketing funnel metrics, spend by channel, pipeline attribution, campaign ROI and regional GTM plan.
| signal | public detail | strength | diligence question |
|---|---|---|---|
| Category leadership claim | Homepage says #1 in Fraud Prevention and displays G2 badges | Company-published; awards should be independently checked | Provide analyst reports and review-platform exports |
| Network scale | ~1T annual events, 1.6B digital citizens, 34K sites/apps | Consistent company/LinkedIn claims; unaudited | Provide event-count methodology and customer-contribution concentration |
| Customer logos/stories | Patreon, Link Money, Reward Gateway, Lunchbox plus homepage logos | Visible company case studies; revenue not verified | Provide references, case-study permission terms and logo-to-ARR bridge |
| Thought leadership/reports | Digital Trust Index reports and fraud resources highlighted on homepage | Company-published demand-gen content | Provide lead funnel and marketing ROI by content asset |
V.B Major Customers
partially verified confidence: medium
Customer stories and logos support traction, but pipeline, expansion prospects and account health are private.
Evidence gaps
- Account plans, pipeline by customer, expansion ARR, renewal risk and reference-call evidence.
Hidden risks
- Logo-driven marketing can mask churn, low NRR or concentration.
Follow-up questions
- Provide major-customer account plans, expansion pipeline, renewal calendar, churn reasons and customer references.
V.C Principal avenues for generating new business
partially verified confidence: medium
Visible avenues include direct demo-led sales, partner/reseller tracks, case-study content and technical/API adoption.
Evidence gaps
- Pipeline by source, partner contribution, conversion rates, sales cycles, ACV and CAC/payback.
Hidden risks
- Partner or sales hiring may not translate into efficient pipeline without quota attainment and conversion proof.
Follow-up questions
- Provide new-business source attribution, pipeline funnel, partner-sourced ARR, sales-cycle cohorts and CAC/payback.
| channel | public evidence | likely motion | gap |
|---|---|---|---|
| Direct enterprise sales | Demo CTA; open Enterprise Account Executive and sales development roles | Sales-led SaaS with enterprise/midmarket buyers | Quota, sales cycle, pipeline, CAC and payback |
| Partner/reseller ecosystem | Authorized reseller, service-provider and technology partner tracks | Channel expansion and integrations | Partner-sourced ARR, MDF, reseller margins and support burden |
| Content/case-study marketing | Customer stories, reports, fraud center and case studies | Category education and proof-led demand generation | Lead attribution, conversion and content ROI |
| Developer/API integration | Sift Score API and developer tools links | Technical sale into internal risk teams | Developer adoption, integration times and API reliability |
V.D Sales force productivity model
not publicly verifiable confidence: low
Sales compensation, quota, cycle length, rep productivity and hiring plan are not public.
Evidence gaps
- Comp plans, quotas, attainment, ramp, pipeline coverage, win rate, sales cycle and new-hire plan.
Hidden risks
- Unverified sales productivity can lead to over-forecasting and burn/runway issues.
Follow-up questions
- Provide sales productivity model by segment and geography, including comp, quota, attainment, ramp and pipeline coverage.
V.E Ability to implement marketing plan with current and projected budgets
not publicly verifiable confidence: low
Public evidence does not disclose marketing budget, headcount plan or CAC/payback.
Evidence gaps
- Marketing and sales budgets, headcount plan, ROI, CAC/payback and scenario forecasts.
Hidden risks
- Underfunded or inefficient GTM could impair growth implied by valuation.
Follow-up questions
- Provide GTM budget, hiring plan, CAC/payback, campaign ROI and sensitivity analysis.
06Research and Development
Sift shows public R&D signals through product leaders, engineering leadership, patents, platform modules and an engineering blog. However, R&D spending, roadmap commitments, model performance, security/SDLC controls and source-code/IP ownership need private review.
VI.A Description of R&D organization
partially verified confidence: medium
Public leadership page identifies product and engineering leaders; public engineering blog and patent pages support active technical positioning.
Evidence gaps
- R&D org chart, roadmap ownership, sprint metrics, incident logs, architecture, SDLC controls, open-source inventory and capitalization policy.
Hidden risks
- Technical debt, model governance, security incidents and R&D productivity are not visible publicly.
Follow-up questions
- Provide R&D org chart, roadmap, model governance, release metrics, architecture diagrams, incident history and IP/OSS inventory.
| name or role | public role | public source | diligence request |
|---|---|---|---|
| Raj Jain | Chief Product Officer | Company leadership page | Product roadmap ownership and KPI history |
| Jason Fama | SVP, Engineering | Company leadership page | Engineering org plan, incident history, delivery metrics |
| Kevin Lee | Field Chief Technology Officer | Company leadership page and LinkedIn public feed references | Customer technical advisory role and product feedback loop |
| Engineering blog contributors / R&D team | Public technical/culture communications | Engineering blog | Source-code ownership, release velocity and R&D capitalization policy |
VI.B New Product Pipeline
partially verified confidence: medium
Public product pages reference Score API, risk-based authentication/partner ecosystem and new releases, but timing, costs and critical dependencies are private.
Evidence gaps
- Product roadmap, release dates, R&D cost, technical dependencies, model validation and product-risk register.
Hidden risks
- Model-performance, privacy, partner-integration and roadmap-execution risks are unresolved.
Follow-up questions
- Provide roadmap with dates, budget, critical-path dependencies, model validation, beta customers and product risk register.
| initiative | public status | evidence | private validation needed |
|---|---|---|---|
| Sift Score API | Publicly marketed solution for internal risk models | Platform page describes real-time risk scores powered by 1T annual events | API adoption, uptime, latency, pricing and roadmap |
| Risk-Based Authentication partnerships | Marketed through platform/partner ecosystem | Platform mentions reserving friction for fraudsters and partnerships | Integration depth, conversion impact and SLA responsibilities |
| Patent-backed workflow/scoring innovations | Multiple patents listed through 2025 | Patents page lists workflow, risk-score, bot-signature and percentile-score patents | Product mapping, assignment and infringement/FTO review |
| Engineering culture / AI product learning | Public engineering blog active | Engineering blog lists AI products panel and hackathon posts | Actual release cadence, test coverage and model-governance practices |
07Management and Personnel
Sift has public leadership, LinkedIn, careers and job-board signals consistent with an active private operating company. HRIS, compensation, retention, turnover, employee-relations and true org-chart details are not public.
VII.A Organization Chart
partially verified confidence: medium
A public leadership roster exists, but a full organization chart and reporting lines are not public.
Evidence gaps
- Current org chart, management reporting lines, board/advisors and succession plan.
Hidden risks
- Public org chart may omit critical middle management, vacancies, board/advisor roles and reporting changes.
Follow-up questions
- Provide full org chart by function/location, board/advisor list and leadership succession plan.
| name | role | public detail | diligence caveat |
|---|---|---|---|
| Marc Friend | Chief Executive Officer | Company page lists Marc Friend as CEO and describes him as a Silicon Valley veteran and CEO-investor | Employment agreement, board role and retention not public |
| Raj Jain | Chief Product Officer | Company page says CPO with more than two decades of leadership | Tenure and product-delivery record require interview/reference |
| Johannes Hoech | Chief Marketing Officer | Company page says CMO and Silicon Valley executive/entrepreneur | Pipeline contribution and marketing ROI private |
| Ada Johnson | Chief Financial Officer | Company page says CFO overseeing strategy and operations | Finance controls, audit history and runway private |
| Tina Liu | Chief People Officer | Company page lists CPO/People leader | Attrition, compensation and employee relations private |
| Ajay Gopal / Jason Fama / Kevin Lee / Brittany Gerths / Brent Sapiro / Leslie Lorenco | Strategy, Engineering, Field CTO, Customer Experience, Revenue and Channel leaders | Company page lists these leaders and roles | Org design, quota capacity and succession not public |
Reporting lines are inferred from titles for visualization and must be verified.
VII.B Historical and projected headcount by function and location
partially verified confidence: medium
LinkedIn provides a public employee range and visible employees; Ashby listed seven open roles. Historical/projected headcount by function/location is private.
Evidence gaps
- HRIS export, headcount by function/location, hiring plan, attrition and remote-work compliance.
Hidden risks
- Hiring velocity, attrition and geographic compliance risk cannot be assessed publicly.
Follow-up questions
- Provide headcount history/projection by function/location, open requisitions, attrition, regretted attrition and remote-work policy compliance.
| signal | value | source | diligence use |
|---|---|---|---|
| LinkedIn company size | 201-500 employees | Broad scale signal; reconcile to HRIS | |
| LinkedIn visible employees | 269 employees visible | Approximate public headcount anchor, not audited | |
| Public open roles | 7 roles observed: sales, account operations, engineering, technical program management | Ashby job board | Active hiring in GTM and engineering; reconcile to hiring plan |
| Work model | Remote USA and Ukraine roles; Borderless Sift initiative | Ashby and careers page | Review employment-law, security and collaboration risks |
VII.C Senior management biographies
partially verified confidence: medium
Company page provides brief public biographies for senior leaders, but age, service period, employment agreements and references are private.
Evidence gaps
- Detailed bios, tenure, employment agreements, references and background checks.
Hidden risks
- Insufficient public evidence for tenure, reference quality or leadership-team cohesion.
Follow-up questions
- Provide senior-management biographies, start dates, employment agreements, reference checks and retention plans.
VII.D Compensation arrangements
not publicly verifiable confidence: low
No public compensation or benefits plan details were found beyond general careers benefits language.
Evidence gaps
- Executive agreements, comp plans, benefits, bonus metrics, severance/change-of-control terms.
Hidden risks
- Compensation misalignment or retention gaps may not be visible.
Follow-up questions
- Provide executive and employee compensation arrangements, benefits summaries and retention/change-of-control terms.
VII.E Incentive stock plans
not publicly verifiable confidence: low
Stock plans, option pool, vesting and grant schedules are not public.
Evidence gaps
- Equity incentive plan, option ledger, vesting schedules and refresh policy.
Hidden risks
- Insufficient option pool or retention grants could impair hiring/retention.
Follow-up questions
- Provide incentive stock plan, option ledger, grant history, vesting terms and refresh policy.
VII.F Significant employee relations problems, past or present
not publicly verifiable confidence: low
No public employee-relations schedule was found; this cannot be cleared without company records.
Evidence gaps
- Employee claims, investigations, litigation, whistleblower reports, DEI/harassment metrics and settlements.
Hidden risks
- Potential employee claims, investigations or culture issues could be undisclosed.
Follow-up questions
- Provide employee-relations log, investigations, claims, settlements and employment counsel summaries.
VII.G Personnel Turnover
not publicly verifiable confidence: low
Public sources show current leaders and some historical leadership references, but turnover data for the last two years is private.
Evidence gaps
- Monthly attrition, regretted attrition, hiring-plan attainment, exit reasons and retention programs.
Hidden risks
- Recent executive turnover or staff attrition could affect execution and valuation.
Follow-up questions
- Provide turnover data for the last two years, exit reasons, regretted attrition and retention/benefit plans.
| area | public signal | risk interpretation | verification status |
|---|---|---|---|
| CEO leadership | TechCrunch cited President/CEO Marc Olesen in 2021; company page lists Marc Friend as current CEO | Executive transition occurred since the unicorn round, but timing/context requires board/HR verification | partially_verified |
| Finance leadership | Company page lists Ada Johnson as current CFO; 2021 article discussed CFO hiring in growth phase | Finance-leadership history should be reviewed for controls and readiness | partially_verified |
| Employee turnover | No attrition or employee-relations metrics were public | Cannot assess morale, regretted attrition, PIP/claims or hiring-plan execution publicly | not_publicly_verifiable |
| Hiring demand | Seven open roles and leadership roster suggest active operations | Hiring velocity may be modest for a growth-stage company; compare to plan and runway | partially_verified |
08Legal and Related Matters
Sift publishes legal/privacy materials and patent listings, and public CourtListener exact-name searches returned no opinion results. However, litigation, regulatory, insurance, material contracts, IP assignment/FTO and security/privacy compliance require counsel and data-room review.
VIII.A Pending lawsuits against the Company
inconclusive confidence: low
CourtListener exact-name opinion searches returned zero results, but this is not a comprehensive docket or claims search.
Evidence gaps
- Complete litigation schedule, demand letters, arbitration, settlements, reserves and counsel assessments.
Hidden risks
- Undisclosed complaints, arbitration, demand letters or state-court matters may exist.
Follow-up questions
- Counsel should run federal/state docket searches and request all pending/threatened claims and reserves.
| query or source | result | coverage limitation | next step |
|---|---|---|---|
| CourtListener exact query "Sift Science" | API count 0 opinion results | Opinions only; may miss complaints, state courts and sealed matters | Counsel to run full docket and claims search |
| CourtListener exact query "Sift Science, Inc." | API count 0 opinion results in executed search | Name variants and subsidiaries may not be captured | Search Sift, Sift Science, Inc., Sift Stack and registered entities |
| Management disclosure | No private legal schedule available | Public search cannot prove absence of disputes | Request litigation, demand letters, arbitration, regulatory and insurance-loss schedules |
VIII.B Pending lawsuits initiated by Company
inconclusive confidence: low
No public company-initiated litigation schedule was found; public search is inconclusive.
Evidence gaps
- Company-initiated litigation, IP enforcement, collections, settlements and legal spend.
Hidden risks
- IP, contract or collections disputes could be material but absent from public sources.
Follow-up questions
- Provide all matters initiated by Sift, including IP, customer, vendor and employment disputes.
| matter type | public signal | verification status | diligence request |
|---|---|---|---|
| Company-initiated litigation | No relevant public opinion results found in exact-name CourtListener API search | inconclusive | List all pending/settled claims initiated by Sift, including IP, customer, employee and collections matters |
| IP enforcement | Patent portfolio exists, but no public enforcement schedule reviewed | not_publicly_verifiable | Provide IP enforcement, opposition, inter partes review and settlement history |
| Contract/customer disputes | Material contracts and disputes are private | not_publicly_verifiable | Provide customer/vendor dispute log and reserves |
VIII.C Environmental and employee safety issues and liabilities
not publicly verifiable confidence: low
As a SaaS company, public environmental exposure appears limited, but workplace safety, remote-work compliance and privacy/security regulations require review.
Evidence gaps
- Workplace safety records, remote-work compliance, data-protection compliance and regulator correspondence.
Hidden risks
- Remote/international employment and data-processing regulations may create unseen compliance obligations.
Follow-up questions
- Provide safety/OSHA equivalents, remote-work compliance, data-protection impact assessments and regulator correspondence.
| topic | public evidence | risk | diligence request |
|---|---|---|---|
| Privacy/data protection | Website privacy notice covers personal information, ML/AI profiling and third-party integrations | GDPR/CCPA/state privacy, cross-border transfers, model explainability and data sharing | DPA templates, DPIAs, regulator correspondence, data maps and security reports |
| Terms, AUP and service privacy | Legal center lists Terms of Service, Acceptable Use Policy and Service Privacy Notice | Customer contractual exposure, limitations of liability, indemnities and SLA obligations | Executed customer/vendor contracts and standard MSA redlines |
| Insurance coverage | No public insurance schedule | Cyber, E&O, D&O and privacy claims coverage unknown | Insurance policies, claims history and broker loss runs |
| Regulatory actions/agency problems | No public agency-action evidence verified in collected sources | Fraud/privacy sector can attract regulatory inquiries; absence not proven | Counsel to search FTC, state AG, data-protection authority and customer audit correspondence |
VIII.D Material patents, copyrights, licenses, and trademarks
partially verified confidence: medium
Company pages support a material patent portfolio, but independent IP and trademark/open-source review is required.
Evidence gaps
- Patent assignment/maintenance, trademarks, copyrights, OSS SBOM, licenses, invention assignments and FTO.
Hidden risks
- Patent assignments, encumbrances, claim scope, trademarks and open-source obligations may affect defensibility.
Follow-up questions
- IP counsel should verify patent ownership, remaining life, claims, encumbrances, trademarks, OSS and FTO.
| asset | jurisdiction or owner | public status | diligence request |
|---|---|---|---|
| Patent portfolio | Sift Science, Inc.; USPTO referenced by company | Company claims 40+ granted/allowed patents | Verify assignments, maintenance, encumbrances and expiration schedule |
| Workflow/risk scoring patents | Sift Science, Inc. | Patents page lists workflow, fraud-score, account-misappropriation and model-calibration patents | Map patents to revenue-generating products and assess claim scope |
| 2025 percentile-score patent | Sift Science, Inc. | Patent 12,273,356 listed with 04/08/2025 and T-Digest calibration description | Verify grant/allowance status and product implementation |
| Trademarks/copyrights/open-source | Not fully reviewed | No comprehensive trademark/open-source inventory in public materials | Request trademark schedule, OSS SBOM, licenses and employee invention assignments |
VIII.E Insurance coverage and material exposures
not publicly verifiable confidence: low
Insurance policies and loss runs are not public.
Evidence gaps
- Insurance policies, coverage limits, exclusions, claims and broker loss runs.
Hidden risks
- Insufficient insurance could leave uncovered cyber/privacy/model-liability exposure.
Follow-up questions
- Provide D&O, cyber, E&O, crime and general liability policies plus claims history/loss runs.
VIII.F Material contracts
not publicly verifiable confidence: low
Customer, vendor, partner and supplier contracts are private; public partner/customer pages confirm categories but not terms.
Evidence gaps
- Top customer contracts, vendor/supplier contracts, partner agreements, DPAs, SLAs and indemnities.
Hidden risks
- Unfavorable SLAs, indemnities, data rights or termination rights could materially affect valuation.
Follow-up questions
- Provide material contract schedule and executed agreements, including customer, vendor, partner, data and cloud contracts.
VIII.G Regulatory agency problems
inconclusive confidence: low
No public agency-action evidence was verified, but fraud-prevention and data-processing activities create material privacy/regulatory review needs.
Evidence gaps
- FTC/state AG/DPA correspondence, regulator inquiries, audits, consent orders, privacy complaints and customer audits.
Hidden risks
- Regulatory inquiries, audits or enforcement could be non-public or missed by this search.
Follow-up questions
- Counsel should search regulator databases and request all agency correspondence, audits, complaints and remediation plans.
Evidence
| ID | Claim | Status | Sources |
|---|---|---|---|
| EC-001 | Public unicorn lists identify Sift as a United States fraud-prevention unicorn valued at $1B+ in April 2021. | verified high | SRC-001SRC-002 |
| EC-002 | Sift announced/was reported to have raised $50M in April 2021 at a valuation over $1B. | verified high | SRC-003 |
| EC-003 | Sift Science closed a $53M Series D in 2018 led by Stripes Group, bringing total raised to $107M. | verified medium | SRC-005 |
| EC-004 | Sift Science raised a $30M Series C in 2016 led by Insight Venture Partners with Union Square Ventures and Spark Capital participating. | verified medium | SRC-004 |
| EC-005 | Sift markets an AI-powered fraud platform spanning payment, account, content and risk-score use cases. | verified high | SRC-006SRC-008 |
| EC-006 | Sift publicly claims customer scale of 700+ global brands and a large event/persona network. | partially verified medium | SRC-006SRC-007SRC-014 |
| EC-007 | Historical 2021 reporting cited several hundred customers, marquee logos, 70B events per month and more than $250B in assessed transactions. | verified medium | SRC-003 |
| EC-008 | The public Patreon case study reports substantial business outcomes using Sift. | partially verified medium | SRC-010 |
| EC-009 | Sift markets a partner ecosystem with reseller, service-provider and technology-partner tracks and named partner logos. | partially verified medium | SRC-011 |
| EC-010 | Sift does not expose simple public pricing in the observed website flow. | partially verified medium | SRC-006SRC-020 |
| EC-011 | Sift competes with multiple fraud-prevention and ecommerce-risk platforms. | verified medium | SRC-021SRC-022SRC-023SRC-024 |
| EC-012 | Sift publicly claims a substantial patent portfolio owned by Sift Science, Inc. | partially verified medium | SRC-007SRC-015 |
| EC-013 | Sift publishes a current leadership roster including CEO, product, marketing, finance, people, strategy, engineering and revenue leaders. | verified medium | SRC-007 |
| EC-014 | Public workforce signals indicate Sift is privately held with roughly mid-market headcount and active remote hiring. | partially verified medium | SRC-014SRC-013 |
| EC-015 | Sift careers materials emphasize a borderless/remote operating model and customer-first culture. | verified medium | SRC-012 |
| EC-016 | Sift publishes a legal/compliance center and privacy notices for its SaaS and website operations. | verified medium | SRC-016SRC-017 |
| EC-017 | Targeted CourtListener API searches returned zero public opinion results for exact-name Sift queries. | inconclusive low | SRC-018 |
| EC-018 | Sift maintains a public engineering blog with AI/product/culture posts. | verified medium | SRC-019 |
| EC-019 | Fraud detection/prevention has long been framed as a large market, but available public market-size evidence is stale. | inconclusive low | SRC-005 |
| EC-020 | Core financial statements, current ARR, cash, debt, cap table, ownership and customer-concentration data are not publicly verifiable. | not publicly verifiable high | SRC-003SRC-006SRC-007 |
| EC-021 | Public operating-financial quality is limited to selective business and usage signals. | partially verified medium | SRC-003SRC-006 |
| EC-022 | Sift’s role in fraud decisions creates privacy, profiling, integration and regulated-data exposure. | verified medium | SRC-017 |
| EC-023 | Sift publicly signals ongoing product innovation, but detailed roadmap, R&D spend and model-performance data are private. | partially verified medium | SRC-008SRC-019 |
| EC-024 | Sift remains plausibly private and operating based on public profiles, current website, jobs and unicorn lists. | verified medium | SRC-001SRC-002SRC-006SRC-013SRC-014 |
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.