Standard AI Startup Diligence Report
A diligence thesis would require proving that Standard AI can convert its computer-vision IP and existing-camera VISION platform into repeatable, privacy-compliant, profitable enterprise retail/brand deployments after the pivot. Public evidence supports category relevance and product activity but not revenue quality, unit economics, customer concentration, retention or current fair value.
Standard AI Startup Diligence Report
Standard AI qualifies for continued public-source private-unicorn diligence: CB Insights lists a $1B Standard AI unicorn row and active company materials show a current VISION retail-analytics platform. Investment underwriting remains blocked by private financial, customer, cap-table, contract, legal and HR data; the 2024 pivot from autonomous checkout to Vision Analytics is the central execution risk.
No public audited financials, ARR, gross margin, burn, cash, debt, backlog, AR aging or revenue concentration were located.
Diligence request: Require audited financials, management accounts, revenue cohorts, cash/debt schedule and board-approved forecast before valuation reliance.
Public reporting describes a shift from autonomous checkout toward Vision Analytics, with leadership changes and layoffs tied to the pivot.
Diligence request: Review post-pivot bookings, churn, roadmap, retained technical assets, customer pipeline, employee retention and burn reduction.
The strongest public customer signal is an unnamed major Midwest retailer pilot; top customers, revenue contribution, renewals and churn are private.
Diligence request: Request top-customer schedule, contract terms, NRR/churn, implementation status and independent references.
CB Insights lists $1B joined in 2021, while the company press page references a $1.5B VentureBeat headline that was not independently accessible.
Diligence request: Reconcile all financing rounds, liquidation preferences, 409A/common valuation, secondary transactions and down-round protections.
Privacy policy discloses camera/video/proximity data, local/cloud storage and customer-controlled policy contexts for in-store shoppers.
Diligence request: Have privacy counsel review notices, consent, DPIAs, DPAs, biometric/facial-recognition controls, retention, cross-border transfer and incident history.
VISION promises high-fidelity analytics from existing cameras, but public sources do not provide accuracy, uptime, false-positive, install-cost or support metrics.
Diligence request: Run technical diligence on model accuracy, camera placement, edge compute bill of materials, cloud cost, integrations and implementation effort.
Public partner evidence is logo/press based and does not disclose partner economics, SLAs or availability dependencies.
Diligence request: Review partner contracts, cloud/hardware dependencies, support obligations, reseller economics and single-source risks.
CSP reported leadership changes and layoffs during the pivot; public careers page does not disclose headcount, turnover or retention plans.
Diligence request: Request HRIS export, termination/layoff details, regretted attrition, key-person retention, compensation plans and open requisitions.
Standard AI has credible public unicorn evidence, but public sources do not disclose financial statements, revenue quality, cap table, cash, debt, backlog, AR aging, customer concentration or forecast assumptions. The latest independently accessible valuation evidence is CB Insights at $1B; a company press-page $1.5B headline is lower confidence because the original article was inaccessible.
not publicly verifiable confidence: high
No audited or management financial statements, product/channel/geography gross profit, backlog or AR aging were located in public sources.
| Checklist area | Publicly located? | Evidence basis | Required private follow-up |
|---|---|---|---|
| Income statements, balance sheets, cash flows | No | Public sources provide valuation/product/legal information, not financial statements. | Audited annual and monthly management financial statements for FY2023-FY2026 YTD. |
| Product/channel/geography gross profit | No | VISION, Skip and legacy checkout offerings are described, but revenue/margin by product is not public. | Revenue, COGS and gross margin by product, customer segment, geography and channel. |
| Backlog, AR aging and cash runway | No | No public backlog, AR aging, cash, debt or burn data found. | Backlog, deferred revenue, AR aging, cash/debt schedule, burn and runway bridge. |
| Planned versus actuals | No | Pivot and layoffs imply plan changes, but no budget-vs-actual reports were public. | Board plan, actuals, variance explanations and post-pivot forecast updates. |
The matrix is an evidence-gap tool, not a conclusion that private records do not exist.
not publicly verifiable confidence: high
Public sources disclose growth narratives around VISION, pilots and camera reuse, but no financial forecast, pricing, capex, working-capital or external-financing assumptions.
| Assumption area | Underwriting question | Evidence | Priority |
|---|---|---|---|
| Vision Analytics growth | How many paid deployments convert from pilot to multi-store rollout? | Business Wire described a 12-week pilot and expansion to current/new customers. | High |
| Pivot economics | Did the pivot reduce burn and preserve/rebuild bookings? | CSP tied layoffs to shift from autonomous checkout to Vision Analytics. | High |
| Hardware/cloud margin | What are edge compute, camera integration, cloud and support costs per store? | Homepage claims edge deployment with existing cameras and cloud transmission of privacy-safe data. | High |
| External financing | Is additional capital required before breakeven? | No public cash, debt, burn or forecast data were found. | High |
partially verified confidence: medium
CB Insights lists a $1B unicorn row; a Standard AI press-card references $1.5B, but neither source provides shares outstanding, investor ownership, option pool, warrants, notes, debt or preferences.
| Topic | Public evidence | Verification | Risk implication |
|---|---|---|---|
| CB Insights unicorn row | $1B valuation; joined 2021-02-17; US/San Francisco; Consumer & Retail; CRV, Y Combinator, Initialized Capital. | Verified public database row | Eligible for unicorn screen, but not sufficient for underwriting. |
| Company press-page valuation signal | Press page links a VentureBeat headline saying valued at $1.5B. | Partially verified; original article inaccessible | Potential valuation inconsistency or later round requires reconciliation. |
| Backer/founding context | Business Wire boilerplate says founded 2017 and backed by Y Combinator, SoftBank, CRV and EQT. | Partially verified company-announcement evidence | Investor roster/preference stack must be confirmed in cap table. |
| Active private-company signal | Current product, sales, press, careers and blog pages were accessible. | Partially verified public-source screen | No public IPO/acquisition/shutdown evidence found, but corporate records were not checked. |
Do not rely on headline valuation without primary financing documents.
Valuation values are public signals, not audited fair value.
not publicly verifiable confidence: medium
Public sources provide investor/backer and acquisition signals but no tax positions, revenue-recognition policy, debt instruments or complete financing history.
Standard AI publicly markets VISION as a privacy-safe, existing-camera retail intelligence platform. The key product diligence issue is whether a post-2024 pivot from autonomous checkout to analytics can produce repeatable, paid retailer/brand ROI with manageable deployment economics and privacy risk.
verified confidence: medium
VISION is positioned around existing-camera analytics, verified impressions, engagement measurement, traffic/out-of-stock/conversion insights and shrink/labor intelligence; legacy autonomous checkout and Skip integration remain relevant but de-emphasized.
| Capability | Buyer/user | Evidence | Diligence test |
|---|---|---|---|
| Existing-camera analytics | Retail operations and IT | Homepage says VISION uses existing cameras for in-store intelligence. | Deployment cost, supported camera/VMS types and integration time. |
| Verified impressions and engagement | Retail media, CPG brands and merchandising teams | Homepage and Business Wire describe verified impressions and Visual Engagement Score. | Measurement accuracy, attribution methodology and brand willingness to pay. |
| Traffic, conversion and out-of-stock insights | Store operations and category management | CSP listed traffic/impressions, availability/out-of-stocks and conversion/sales metrics. | Compare store-level KPI uplift versus control stores. |
| Employee engagement / shrink intelligence | Loss prevention and store managers | CEO blog names time to first contact and employee presence relative to traffic. | Validate privacy-safe employee/customer interaction metrics and labor-workflow fit. |
| Architecture element | Potential benefit | Diligence risk | Evidence |
|---|---|---|---|
| Edge compute | Lower latency and bandwidth pressure. | Actual hardware cost and maintenance burden per store. | Homepage edge-powered intelligence copy. |
| Local video retention | May reduce privacy exposure and bandwidth. | Security, retention, customer access and incident response still require audit. | Homepage and privacy policy. |
| Camera/video data | Data for high-fidelity analytics. | Consent, notice, biometric/privacy laws and retailer policy alignment. | Privacy policy. |
| No facial recognition positioning | Potentially lower biometric-regulatory risk. | Need technical proof, model audit and customer-facing notices. | CSP pivot coverage and homepage privacy-safe positioning. |
| Date/period | Product implication | Evidence | Open question |
|---|---|---|---|
| Historical YC profile | Original category was autonomous checkout. | YC profile. | What legacy checkout customers/assets remain? |
| 2023-02 | Expanded checkout/POS capabilities. | CSP Skip acquisition article. | Was acquisition closed and integrated economically? |
| 2024-03 | Strategic pivot changes TAM, customer personas and product economics. | CSP pivot article. | How much revenue/customer base transferred to analytics? |
| 2024-10 to 2026 | Broader analytics/retail media/store operations thesis. | Business Wire and CEO blog. | Can Standard prove repeatable ROI and sell-through? |
Diagram reflects public claims only.
Public customer evidence is thin: Business Wire cites an unnamed major Midwest retailer pilot, and legal/privacy language references business customers generically. Top customers, revenue concentration, churn, renewals, references and supplier spend are not public.
not publicly verifiable confidence: medium
No top-customer list was public. The main public customer signal is an unnamed major Midwest retailer pilot for VISION.
| Checklist item | Risk if unresolved | Evidence | Follow-up |
|---|---|---|---|
| Top 15 customers by application | Customer concentration and product-market fit cannot be assessed. | Business Wire pilot; privacy policy generic customer references. | Request customer list, ARR/revenue and contract start/end dates. |
| Revenue by customer and >5% concentration | One pilot or a small number of retailers could drive outsized revenue. | No public revenue/customer schedule found. | Request revenue concentration and renewal/churn cohorts. |
| Severed relationships in last two years | Legacy autonomous-checkout customers may have churned or changed terms. | CSP pivot coverage. | Request lost customers, churn reasons and contract termination notices. |
| Top suppliers | Hardware/cloud dependency and gross margin remain opaque. | Homepage partner/logo evidence and architecture claims. | Request top suppliers, purchase commitments, cloud invoices and hardware SLAs. |
Use as a diligence framework, not measured performance.
partially verified confidence: medium
Public evidence includes Axis/NVIDIA logo signals, generic business-customer references and the Skip acquisition announcement, but no partner economics.
| Relationship type | Identity detail | Revenue evidence | Diligence implication |
|---|---|---|---|
| Retailer/customer pilot | Unnamed | Not disclosed | Requires reference call, contract and deployment economics. |
| Technology/hardware partners | Named logos but no contracts | Not disclosed | Need partner agreements, SLAs and support obligations. |
| Skip acquisition | Skip named | Not disclosed | Need integration status, purchase terms and customer migration data. |
| Business customers | Generic, unnamed | Not disclosed | Need top-customer list and DPAs/MSAs. |
not publicly verifiable confidence: high
No public revenue-by-customer disclosure or customer accounting for 5% or more of revenue was located.
not publicly verifiable confidence: medium
No severed customer/partner/supplier relationships were publicly disclosed; the 2024 pivot and layoffs make churn/termination review important.
not publicly verifiable confidence: medium
Top suppliers and purchase amounts were not public; architecture and partner evidence imply dependence on camera, edge compute, cloud and hardware ecosystem components.
Standard AI now competes primarily on privacy-safe, existing-camera retail analytics and in-store media measurement rather than pure autonomous checkout. Public evidence supports positioning but not win/loss, pricing power, market share or benchmarked model accuracy.
partially verified confidence: medium
Public evidence places Standard AI in computer-vision retail analytics, retail-media measurement, legacy autonomous checkout and self-checkout/POS integration. Competitive basis includes accuracy, privacy, camera reuse, implementation cost and ROI.
| Segment | Basis of competition | Evidence | Diligence concern |
|---|---|---|---|
| Computer-vision retail analytics | Accuracy, privacy, camera reuse, ease of deployment, ROI. | Homepage, Business Wire and CSP pivot. | Need win/loss data and benchmark accuracy versus alternatives. |
| Retail media/in-store marketing measurement | Attribution credibility, brand budgets, retailer media networks. | Business Wire and homepage use cases. | Need proof that brands pay for the measurement and accept methodology. |
| Autonomous checkout / cashierless retail | Checkout accuracy, labor savings, payments, store retrofit cost. | YC profile and CSP pivot. | Legacy assets may be stranded or support obligations may remain. |
| Self-checkout/POS integration | Installed base, POS integration, support, hardware economics. | CSP Skip acquisition article. | Post-pivot strategic priority and economics are unclear. |
| Dimension | Public weakness or unknown | Evidence | Risk linkage |
|---|---|---|---|
| Deployment model | Actual camera compatibility and install cost unknown. | Homepage edge/existing-camera copy. | Technical deployment risk. |
| Privacy positioning | Privacy policy still discloses video/proximity data and camera footage. | Homepage, CSP and privacy policy. | Privacy/regulatory exposure. |
| IP estate | Ownership, claim scope and FTO not verified. | Patents page. | IP diligence risk. |
| Commercial traction | Revenue, retention, NRR and customer concentration private. | Business Wire, retailer contact, financial-gap review. | Customer proof risk. |
No unsupported competitor names are included.
Standard AI has active GTM messaging for retailers and brands, supported by product announcements, sales CTA and thought leadership. Public evidence does not disclose pricing, ACV, pipeline, sales-cycle length, quota attainment, CAC/payback or budget sufficiency.
partially verified confidence: medium
Public strategy is direct retailer/brand education around existing-camera intelligence, engagement scores, shrink/labor insights and partner ecosystem positioning.
| GTM signal | Channel or audience | Verification | Diligence need |
|---|---|---|---|
| Retailer sales CTA | Direct enterprise sales to retailers. | Verified company statement | Pipeline, pricing, contract cycle and quota attainment. |
| Press launch | Retailers, CPG brands, retail media buyers. | Partially verified syndicated release | Customer references and paid expansion metrics. |
| Thought leadership | Retail executives, loss prevention, operations. | Verified company-authored content | Campaign attribution and lead generation effectiveness. |
| Partner ecosystem | Hardware/cloud/channel ecosystem. | Partially verified public evidence | Partner-sourced pipeline and co-sell economics. |
Scores are qualitative evidence-maturity ratings.
not publicly verifiable confidence: high
No major-customer status/trend or pipeline details were public beyond an unnamed pilot and generic customer references.
| Model input | Why it matters | Evidence | Requested data |
|---|---|---|---|
| Average contract value and pricing | Determines enterprise-sales efficiency and payback. | Financial and revenue metrics absent from public sources. | Price book, discounting, ACV by segment and renewal uplift. |
| Sales cycle and pipeline | Retail deployments can be long and integration-heavy. | Pilot expansion language but no pipeline conversion data. | Pipeline by stage, conversion rates, cycle length, implementation backlog. |
| Quota attainment and sales headcount | Post-pivot hiring/sales productivity could determine runway. | Careers page shows open positions but no sales org metrics. | Sales headcount, quota, attainment, ramp, compensation plan. |
| Implementation/support cost | Camera/edge deployments may pressure gross margin. | Architecture relies on edge compute, cameras and cloud data. | COGS by deployment, install labor, cloud cost, support tickets and uptime. |
partially verified confidence: medium
Likely avenues are direct retailer sales, CPG/retail-media measurement, loss-prevention/operations thought leadership and partner ecosystem channels, but actual channel mix is not public.
not publicly verifiable confidence: high
No public data on sales compensation, average quota, sales cycle, sales hiring plan or productivity was located.
not publicly verifiable confidence: high
Budget sufficiency cannot be assessed because cash, burn, marketing spend and forecast were not public.
Public R&D signals include the VISION product, edge/cloud architecture claims, 42 observed patent numbers, Visual Engagement Score, Skip integration history and CEO-authored product thesis. Private diligence is needed on roadmap, model performance, engineering capacity, security, open-source, deployment cost and IP/FTO.
partially verified confidence: medium
Public sources identify CTO David Woollard, a patent estate and edge/cloud architecture, but do not disclose R&D budget, engineering org, roadmap governance or model lifecycle controls.
| R&D signal | Interpretation | Missing diligence | Evidence |
|---|---|---|---|
| Patent estate | Suggests sustained technical/IP investment. | Patent assignments, claims chart, prosecution, FTO. | Patents page. |
| Product reuse after pivot | Prior R&D may have been repurposed. | Roadmap, codebase reuse, technical debt, model performance. | CSP pivot article. |
| Edge/cloud architecture | Architecture could support store-scale analytics if cost-effective. | Security architecture, model lifecycle, infrastructure bill. | Homepage. |
| Leadership | Technical leadership continuity/ownership is material. | Engineering org chart, key-person retention, roadmap governance. | CSP pivot article. |
Counts are observed public signals, not weighted quality scores.
partially verified confidence: medium
Pipeline evidence includes Visual Engagement Score, shrink/labor intelligence content, existing-camera edge analytics and Skip/Vision OS integration history; timing, cost and critical-path risks are private.
| Pipeline item | Critical technology | Risk | Evidence |
|---|---|---|---|
| Visual Engagement Score | Object/person/product interaction detection and attribution. | Accuracy and attribution accepted by brands/retailers? | Business Wire. |
| Shrink/labor intelligence | Human engagement detection without intrusive identification. | Employee surveillance and privacy/HR acceptance. | CEO blog. |
| Self-checkout/Vision OS integration | POS, kiosk, autonomous checkout and back-office integration. | Post-pivot relevance and support obligations unclear. | CSP Skip acquisition coverage. |
| Existing-camera edge analytics | Camera compatibility, edge compute and cloud analytics. | Hardware/install cost could limit scalability. | Homepage. |
CSP reports Angie Westbrock as CEO, David Woollard as CTO and Jordan Fisher as board chairman after a 2024 pivot, while YC lists former founders. Careers evidence shows a remote/distributed company with benefits/equity and open positions. Full org chart, headcount, compensation, turnover and post-layoff retention are not public.
partially verified confidence: medium
Only a partial public leadership map is available; full reporting lines, departments and board composition are private.
| Person or group | Evidence | Diligence implication | Risk linkage |
|---|---|---|---|
| Angie Westbrock | CSP pivot article. | Validate CEO mandate, tenure, employment terms and retention. | Post-pivot execution. |
| David Woollard | CSP pivot article. | Assess technical leadership, roadmap ownership and key-person risk. | Technical execution. |
| Jordan Fisher | CSP and YC profile. | Clarify board role, founder equity, transition and governance. | Governance/continuity. |
| Former founders | YC profile. | Confirm current employment, ownership, IP assignment and non-competes/non-solicits. | Founder/key-person history. |
Full reporting lines are not public.
not publicly verifiable confidence: medium
Careers page verifies remote/distributed operations but no historical/projected headcount or function/location breakdown was public.
| HR area | What remains unknown | Evidence | Follow-up priority |
|---|---|---|---|
| Workforce model | Headcount by function/location and legal-employer structure. | Careers page. | High |
| Benefits and equity | Option pool, grant practices, compensation bands, retention refreshes. | Careers page. | High |
| Layoffs | Number affected, functions, severance, WARN/compliance and regretted attrition. | CSP pivot article. | High |
| Open positions | Hiring plan, requisition count by function and budget. | Careers page. | Medium |
partially verified confidence: medium
Public sources identify CEO, CTO, board-chair/founder transition and former founders, but complete biographies, tenure, age and employment history are not public for all executives.
not publicly verifiable confidence: medium
Careers page mentions benefits and equity, but employment agreements, severance, bonus plans and executive compensation are private.
not publicly verifiable confidence: medium
Careers page references company equity, but option pool, grant history, exercise prices, vesting and refresh plans are private.
not publicly verifiable confidence: medium
No employee-relations problems were publicly verified, but layoffs tied to the pivot were publicly reported.
not publicly verifiable confidence: high
Turnover data were not public. Leadership transition and layoffs make retention and attrition analysis critical.
Material legal diligence centers on camera/video/proximity data privacy, customer DPAs/MSAs, arbitration/consumer terms, legacy checkout/payment/restricted-goods flows, patents/IP ownership and the Skip acquisition. No litigation docket, counsel letter, insurance schedule, customer contracts or regulatory correspondence was available publicly.
unverified confidence: low
No pending lawsuits against Standard AI were verified in public sources reviewed; no formal docket search or counsel letter was available.
| Legal area | Risk or relevance | Evidence | Needed documents |
|---|---|---|---|
| Entity / operators | Multi-entity operations and possible cross-border issues. | Terms of Use. | Entity org chart, intercompany agreements, corporate good standing. |
| Dispute resolution | Consumer-facing service dispute management. | Terms of Use. | Litigation docket search, counsel letters, complaints and arbitration history. |
| Restricted items / transaction flows | Legacy checkout/payment compliance exposure. | Terms of Use. | Payment processor agreements, restricted-goods controls, incident logs. |
| Acquisition obligations | Purchase obligations, earn-outs, support and integration liabilities may exist. | CSP Skip article. | Purchase agreement, closing certificate, indemnities, integration plan. |
Risk scoring is analyst judgment based on public evidence.
unverified confidence: low
No lawsuits initiated by Standard AI were verified in public sources reviewed; IP enforcement and collection matters require counsel confirmation.
partially verified confidence: medium
Traditional environmental exposure appears less central for a software/AI retail technology company, but camera deployments, payments/restricted-goods workflows and employee/consumer privacy create operational safety/compliance issues.
| Obligation area | Potential exposure | Evidence | Diligence request |
|---|---|---|---|
| Video and proximity data | Privacy, surveillance, biometric-adjacent and consumer-notice issues. | Privacy Policy. | DPIAs, data map, retention schedule, DSAR logs, privacy counsel memo. |
| Customer-controlled policies | Retailer/operator allocation of responsibility may vary by deployment. | Privacy Policy. | Customer DPAs/MSAs, signage/notices, processor/controller analysis. |
| No-facial-recognition positioning | Claims must match technical implementation and marketing/legal review. | Homepage and CSP pivot coverage. | Model audit, biometric-law analysis, claim substantiation file. |
| Retail checkout / restricted items | Payments, restricted goods, refunds/chargebacks and consumer protection. | Terms of Use. | Compliance policies, payment agreements, incident history and insurance. |
partially verified confidence: medium
Company patent-marking page lists VisionOS patent coverage and 42 observed unique US patent numbers; ownership, encumbrances, maintenance, claim scope and FTO remain unverified.
| IP item | Potential value | Required validation | Evidence |
|---|---|---|---|
| VisionOS patent-marking page | Supports technical defensibility and product differentiation. | Patent counsel review of claims and product mapping. | Patents page. |
| Patent count signal | Indicates breadth of prosecution activity. | USPTO/assignment/maintenance export and family grouping. | Patents page analyst extraction. |
| VisionOS and legacy checkout | Patents may cover both legacy checkout and current analytics. | Assess relevance of patents to current VISION Analytics revenue. | Terms and CSP Skip article. |
| Third-party/software rights | Open-source and partner IP can affect freedom to operate. | Open-source scan, license schedule, invention assignments. | No public repository/license schedule located. |
not publicly verifiable confidence: high
Insurance coverage is not public despite exposures involving camera data, AI analytics, cyber/privacy, customer contracts and legacy checkout/payment flows.
| Artifact | Why it matters | Evidence basis | Request priority |
|---|---|---|---|
| Insurance schedule | Camera, AI, privacy, cyber and retail operations require cyber/E&O/general liability coverage. | Privacy and terms show camera/consumer-service exposures. | High |
| Customer MSAs/SOWs/DPAs | Revenue, liability caps, SLAs, data rights and termination rights drive risk. | Privacy policy references business customers and customer-controlled policies. | High |
| Partner/supplier agreements | Hardware/cloud partners may affect deployment cost, support and availability. | Partner-logo and edge/cloud architecture evidence. | Medium |
| Skip acquisition documents | Acquisition economics, liabilities and integration obligations are unresolved. | CSP reported definitive agreement to acquire Skip. | High |
not publicly verifiable confidence: high
Material contracts are not public; key candidates include customer MSAs/SOWs/DPAs, partner/supplier agreements, cloud/hardware contracts, payment processor terms and Skip acquisition documents.
unverified confidence: medium
No regulatory agency problems were verified publicly, but privacy policy and product model create meaningful regulatory review needs across surveillance, biometric-adjacent claims, consumer privacy and retail checkout contexts.
| ID | Claim | Status | Sources |
|---|---|---|---|
| EC-001 | CB Insights lists Standard AI as a United States/San Francisco Consumer & Retail unicorn with a $1B valuation, joined date 2021-02-17, and investors CRV, Y Combinator, and Initialized Capital. | verified high | SRC-001 |
| EC-002 | Standard AI currently markets VISION as an existing-camera, privacy-safe in-store intelligence platform for retailers. | verified high | SRC-002 |
| EC-003 | Standard AI says VISION deploys at the edge with local video retention and cloud transmission of privacy-safe data. | verified medium | SRC-002 |
| EC-004 | Business Wire announced VISION Visual Engagement Score and a successful 12-week pilot with an unnamed major Midwest retailer. | partially verified medium | SRC-010 |
| EC-005 | CSP Daily News reported a 2024 strategic pivot from autonomous checkout to Vision Analytics, with CEO/CTO changes and layoffs. | verified high | SRC-011 |
| EC-006 | CSP Daily News reported in 2023 that Standard AI signed a definitive agreement to acquire Skip self-checkout and integrate Skip POS with Vision OS. | partially verified medium | SRC-012 |
| EC-007 | Y Combinator describes Standard AI/Standard Cognition as AI-powered checkout for retail and lists Jordan Fisher, John Novak and Michael Suswal under former founders. | verified medium | SRC-013 |
| EC-008 | Standard AI careers page states the company is fully remote/distributed, offers benefits and company equity, and maintains an open positions section. | verified medium | SRC-003 |
| EC-009 | Standard AI patent-marking page says VisionOS products are covered by claims of listed patents; 42 unique US patent numbers were observed in the public page text. | partially verified medium | SRC-005 |
| EC-010 | Standard AI terms identify Standard Cognition Corp. and Checkout Technologies S.r.l., describe a machine-vision platform for autonomous checkout/Vision OS products, and include arbitration/class-action waiver language. | verified medium | SRC-006 |
| EC-011 | Standard AI privacy policy discloses collection of interaction data, proximity-based data and video footage through cameras, with local/cloud storage and customer-controlled policy contexts. | verified high | SRC-007 |
| EC-012 | Standard AI retailer contact page markets current-camera deployment to maximize sales and shopper engagement. | verified medium | SRC-008 |
| EC-013 | Standard AI press page links to a VentureBeat headline saying the company shifted focus and was valued at $1.5B; the linked article was not independently accessible in this research. | partially verified low | SRC-004 |
| EC-014 | Public partner evidence includes company-displayed Axis and NVIDIA logos and trade-press references to ecosystem partners; economic terms are not public. | partially verified medium | SRC-002SRC-011 |
| EC-015 | Standard AI markets VISION use cases including shopper movement, employee engagement, verified impressions and layout/service optimization. | verified medium | SRC-002 |
| EC-016 | Public sources reviewed did not disclose audited financial statements, ARR, gross margin, burn, cash, debt, customer revenue, cap table or option pool. | not publicly verifiable high | SRC-001SRC-002SRC-004SRC-010SRC-011 |
| EC-017 | Business Wire says Standard AI was founded in 2017 and backed by Y Combinator, SoftBank, CRV and EQT. | partially verified medium | SRC-010 |
| EC-018 | CEO-authored Standard AI blog frames shrink intelligence around human engagement metrics such as time to first contact, employee presence and conversion/loss correlation. | verified medium | SRC-009 |
| EC-019 | CSP Daily News listed Vision Analytics metrics including traffic/impressions, availability/out-of-stocks, conversion/sales and merchandising tests. | verified medium | SRC-011 |
| EC-020 | Standard AI current public evidence supports an active private company, but IPO/acquisition/shutdown evidence was not found in public sources reviewed. | partially verified medium | SRC-002SRC-003SRC-004SRC-008SRC-009SRC-011 |
| EC-021 | Terms disclose service limitations, age-restricted-item exclusions and consumer-facing transaction flows relevant to autonomous-checkout legacy risk. | verified medium | SRC-006 |
| ID | Publisher | Title | Accessed |
|---|---|---|---|
| SRC-001 | CB Insights | The Complete List Of Unicorn Companies | 2026-05-24 |
| SRC-002 | Standard AI | Standard AI homepage | 2026-05-24 |
| SRC-003 | Standard AI | Standard AI careers | 2026-05-24 |
| SRC-004 | Standard AI | Standard AI press page | 2026-05-24 |
| SRC-005 | Standard AI | Patents - Standard AI | 2026-05-24 |
| SRC-006 | Standard AI | Standard AI Terms of Use | 2026-05-24 |
| SRC-007 | Standard AI | Standard AI Privacy Policy | 2026-05-24 |
| SRC-008 | Standard AI | Standard AI retailer contact page | 2026-05-24 |
| SRC-009 | Standard AI | Shrink Isn’t a Technology Problem. It’s a Labor One. | 2026-05-24 |
| SRC-010 | Business Wire | Standard AI Delivers New Shopper Insights for In-Store Marketing | 2026-05-24 |
| SRC-011 | CSP Daily News | Standard AI Moves Away From Autonomous Shopping and Toward AI Cameras | 2026-05-24 |
| SRC-012 | CSP Daily News | Standard AI to Acquire Skip Self-Checkout | 2026-05-24 |
| SRC-013 | Y Combinator | Standard AI: AI-powered checkout for retail | 2026-05-24 |
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.