CUBE3 AI
Agentic AI platform preventing financial crime, fraud, scams, and cyber threats for institutions.
Website: https://www.cube3.ai/
Cover Block
From the public record
| Field | Value |
|---|---|
| Name | CUBE3 AI |
| Tagline | Agentic AI platform preventing financial crime, fraud, scams, and cyber threats for institutions. |
| Headquarters | Palo Alto, United States [Crunchbase] |
| Founded | 2022 [Crunchbase] |
| Stage | Seed [Crowdfund Insider, August 2023] |
| Business model | B2B |
| Industry | Security |
| Technology | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (3+) [TechCrunch, August 2023] [Crunchbase] |
| Funding label | Seed |
| Total disclosed funding | ~$8.2 million [Crowdfund Insider, August 2023] [Citybiz, August 2023] |
Links
From the public record
- Website: https://www.cube3.ai/
The Short Version
PUBLIC CUBE3 AI is building an AI-based financial crime prevention platform, and it merits attention because the company appears to be extending a Web3 security wedge into a broader, real-time fraud and scam prevention pitch aimed at financial institutions and platforms exposed to criminal activity [Crowdfund Insider, August 2023] [Consider, August 2026] [Crunchbase]. Founded in 2022 and based in Palo Alto, the company was initially described as a real-time Web3 security platform that used AI to inspect on-chain contracts and transactions for fraud and exploits, then broadened its public positioning toward a "conversational crime intelligence platform" intended to stop scams before money moves [TechCrunch, August 2023] [Consider, August 2026].
The product differentiation, based on public materials, rests on pre-transaction intervention rather than post-loss investigation, with early product packaging under Detect, Protect, and Manage and a more recent emphasis on network-level intelligence at the moment accounts are compromised [Citybiz, August 2023] [Crowdfund Insider, August 2023] [AMLP Forum]. That evolution is strategically interesting, but investors should separate the verified 2023 Web3 transaction security narrative from later, broader claims that are still supported mainly by company materials and job listings [CUBE AI, retrieved 2026] [BeeBee, September 2026].
On team quality, the clearest public signal is founder and CEO Einaras von Gravrock, who is also publicly identified as the CEO and founder of CUJO AI, a prior cybersecurity company [Citybiz, August 2023] [CUJO AI] [BizTechReports, December 2018]. Public directories and profiles also identify Chris Griffiths, Attila Marosi-Bauer, Nathan Taylor, and Vilius Zukauskas as founders or co-founders, suggesting a multi-founder buildout across technical, research, operations, and commercial functions, though the sourcing depth on several of those roles is thinner than for the CEO [TechCrunch, August 2023] [Crunchbase] [The Org].
The capital base is clearer than the operating metrics: CUBE3 AI announced an $8.2 million seed round in August 2023 led by Blockchange Ventures, with participation from Dispersion Capital, Symbolic Capital, Hypersphere Ventures, ICLUB, and TA Ventures, and the business model is presented as B2B software for institutions rather than a consumer fraud product [Crowdfund Insider, August 2023] [Citybiz, August 2023]. A reported $48.5 million 2026 round appears in a funding database, but that financing remains unconfirmed by a named publisher, company announcement, filing, or investor release, so it should not carry much weight until independently corroborated [FundUp, September 2026].
Over the next 12 to 18 months, the main issues to watch are whether the company can substantiate its category expansion beyond crypto security, whether hiring into product and operations translates into enterprise go-to-market depth, and whether any independent evidence emerges on customers, deployments, or transaction-scale usage [Consider, August 2026] [LinkedIn, December 2025] [BeeBee, September 2026]. The public record supports a credible early-stage security company with a notable founder and a real seed syndicate, but the current breadth of the story still runs ahead of the verified operating data.
Single-source, plausible -- Core company, founder, and seed financing facts are corroborated by multiple public sources, but current positioning and later funding claims rely partly on company materials, job listings, and unconfirmed database entries.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | B2B |
| Industry / Vertical | Security |
| Technology Type | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding | Total disclosed about $8.2 million |
The Company in Brief
PUBLIC
CUBE3 AI presents a fairly clear public arc, even if the underlying record is still thin. The company is listed by Crunchbase as an AI-based cybersecurity company focused on detecting and preventing financial crime, scams, and cyber threats in real time, and the company website now describes the product as an "Agentic Crime Prevention Platform" [Crunchbase, retrieved 2026] [CUBE AI, retrieved 2026].
Public records place the company in Palo Alto and date its founding to 2022, with Crunchbase also identifying the legal entity as Cube Security, Inc. [Crunchbase, retrieved 2026]. That matters because the branding has shifted over time, from CUBE3.AI in earlier coverage to CUBE AI on the current website, which suggests repositioning rather than a newly formed business [CUBE AI, retrieved 2026] [Crunchbase, retrieved 2026].
The chronology visible from company-controlled and directory sources is straightforward. The company appears to have launched first around Web3 transaction security, then broadened its framing toward financial crime prevention for institutions, while retaining security as the core operating theme [CUBE AI, retrieved 2026] [Crunchbase, retrieved 2026].
The founding team listed publicly is larger than a typical two-person seed company. Crunchbase names Einaras von Gravrock, Chris Griffiths, and Attila Marosi-Bauer among the founders, while the current website presents the business under the shorter CUBE AI brand and a wider crime prevention brief [Crunchbase, retrieved 2026] [CUBE AI, retrieved 2026].
Single-source, plausible -- Confirmed by Crunchbase and the company website, with legal entity and founding details relying primarily on Crunchbase.
What They Have Built
Mixed sourcing
CUBE3 AI’s product record is clearest when read as an evolution rather than a reset. In 2023, the company described itself as a real-time Web3 security platform using AI to inspect on-chain contracts and transactions for fraud, exploits, and related risks [TechCrunch, August 2023]. Launch coverage from the same period said the platform shipped with three modules, Detect, Protect, and Manage, aimed at identifying malicious activity, blocking risky transactions, and providing security and compliance controls [Citybiz, August 2023]. Crowdfund Insider’s launch report framed the core operating claim more narrowly and more usefully: the system is meant to analyze activity before funds move, rather than investigate losses after the fact [Crowdfund Insider, August 2023].
Recent public positioning broadens the buyer set beyond crypto-native security teams. Job postings and directory-style profiles describe CUBE3 AI, in some places shortened to CUBE AI, as a conversational crime intelligence or agentic crime prevention platform for banks, fintechs, crypto exchanges, and other platforms exposed to AI-enabled fraud and cyber threats [Consider, August 2026] [BeeBee, September 2026] [Crunchbase, retrieved 2026]. The company website uses similar language and places the product at the intersection of agentic AI, cybersecurity, and fraud prevention, but those claims remain company-described rather than independently demonstrated [CUBE AI, retrieved 2026].
Public technical detail is still thin, and that matters. Company materials say the platform analyzes historical and real-time blockchain data across Ethereum, Polygon, Avalanche, Arbitrum, and BNB, and a 2024 blog post says it also scans Web2 sources such as forums and social platforms to attribute fraudulent addresses using LLMs and sentiment analysis [CUBE3.AI blog, April 2024] [CUBE3.AI blog, September 2024]. Those statements help explain the product thesis, but they do not establish model performance, false-positive rates, deployment architecture, or how much of the current stack still centers on digital-asset workflows versus broader financial-crime operations. The hiring footprint does imply an expanding product organization, with roles in forward-deployed product, intelligence and insights, customer platform, QA, and sales operations (inferred from job postings) [BeeBee, September 2026] [Consider, August 2026] [LinkedIn, March 2025] [LinkedIn, December 2025].
Unconfirmed -- This section combines independent press coverage with company website, company blog, and third-party job postings; several current capability claims remain company-described or only partially corroborated.
Market Size and Demand
PUBLIC
Financial crime prevention is attracting attention because the attack surface is widening faster than most institutions can adapt, and CUBE3 AI is positioning itself around intervention before funds move rather than post-loss investigation [Crowdfund Insider, August 2023] [Consider, August 2026].
The difficulty is that no named third-party market study or public filing in the supplied evidence quantifies the company’s addressable market, so any TAM, SAM, or SOM figure here would be speculative. The public record instead supports a narrower market-definition exercise: CUBE3 AI began in real-time Web3 transaction security, inspecting on-chain contracts and transactions for fraud and exploit risk [TechCrunch, August 2023], and has since broadened its stated target buyer to banks, fintechs, and platforms exposed to AI-enabled scams and financial crime [BeeBee, September 2026] [Consider, August 2026]. That shift suggests the practical market is no longer only crypto security software, but a wider prevention stack spanning fraud operations, cyber intelligence, and compliance tooling for institutions that need earlier signal on criminal behavior [AMLP Forum] [Crunchbase].
Demand drivers are visible even without a formal sizing model. The company’s own launch framing emphasized pre-transaction analysis of activity and infrastructure, a useful clue to where buyers may feel pain: losses from scams and account compromise often become materially harder to recover once money leaves the account [Crowdfund Insider, August 2023]. The hiring record points the same way. Roles in intelligence and insights, customer platform, forward-deployed product, sales and operations, and a Lithuanian engineering team indicate a product motion that appears to be moving beyond a single point tool toward institution-facing workflows and deployment support [Consider, August 2026] [BeeBee, September 2026] [LinkedIn, December 2025] [LinkedIn, March 2025]. That is not proof of scale, but it is consistent with a market where product depth, implementation, and analyst usability matter as much as detection quality.
The adjacent markets are clearer than the core market size. CUBE3 AI sits near blockchain analytics and Web3 security on one side, and fraud prevention, AML, cyber threat intelligence, and scam detection on the other [TechCrunch, August 2023] [Crowdfund Insider, August 2023] [AMLP Forum]. Its current description as a conversational crime intelligence platform implies a substitute set that includes tools used by fraud teams, trust and safety groups, and financial crime investigators, especially where criminal infrastructure spans wallets, accounts, social channels, and device or network indicators [Consider, August 2026] [CUBE3.AI blog, September 2024]. That adjacency cuts both ways. It expands the buyer universe beyond crypto-native firms, but it also places the company into more established software budgets where proof of efficacy, false-positive control, and workflow fit usually matter more than category novelty.
Regulatory and macro conditions appear supportive in principle, though the evidence here is still directional. The company has publicly linked its product to compliance use cases in centralized finance and to crime detection across multiple chains, including Ethereum, Polygon, Avalanche, Arbitrum, and BNB [CUBE3.AI blog, April 2024]. Its membership in the Enterprise Ethereum Alliance also indicates continued relevance to enterprise blockchain security standards, even as the message broadens toward bank and fintech use cases [LinkedIn, September 2023] [Enterprise Ethereum Alliance]. More broadly, the move from Web3 transaction defense to crime intelligence tracks a market reality: fraud, scam, and cyber budgets increasingly converge when institutions need a unified view of risk before authorization, onboarding, or payout decisions [AMLP Forum] [Consider, August 2026].
| Market lens | What the public evidence supports | Source basis |
|---|---|---|
| Core wedge | Pre-transaction crime prevention for digital asset and financial workflows | [Crowdfund Insider, August 2023] [Consider, August 2026] |
| Original entry market | Real-time Web3 transaction and smart contract security | [TechCrunch, August 2023] [Citybiz, August 2023] |
| Expanded buyer set | Banks, fintechs, exchanges, and other platforms exposed to scams and financial crime | [BeeBee, September 2026] [Consider, August 2026] |
| Adjacent budgets | Fraud prevention, AML/compliance, cyber threat intelligence, trust and safety | [AMLP Forum] [CUBE3.AI blog, April 2024] |
| Regulatory context | Compliance-oriented monitoring in CeFi and enterprise blockchain ecosystems | [CUBE3.AI blog, April 2024] [Enterprise Ethereum Alliance] |
The table points to a market definition that is strategically broader than the company’s 2023 launch category, but still too thinly quantified in public evidence to support a defensible sizing model. For now, the more useful read is qualitative: if buyers increasingly want one system that links scam signals, cyber indicators, and transaction risk before money moves, the category tailwind is real even if market size remains unverified.
Unconfirmed -- This section relies mainly on company materials, job listings, and trade or directory sources; no named third-party market-sizing report was available in the supplied evidence.
Who Else Is Fighting for This
Competitive map
MIXED CUBE3 AI sits in a crowded control point between fraud tooling, cyber defense, and crypto transaction monitoring, but the available public record suggests its clearest distinction is not broad platform breadth, it is the claim that intervention happens before funds move rather than after a case is opened [Crowdfund Insider, August 2023] [Consider, August 2026].
Public sourcing does not name direct competitors, so the market has to be mapped by adjacent segments rather than by a clean company-against-company grid. On one side are blockchain security and transaction-risk products, the lane where CUBE3 AI was originally introduced as a real-time Web3 security platform inspecting on-chain contracts and transactions for fraud, exploits, and other risks [TechCrunch, August 2023]. On another side are bank and fintech fraud stacks, implied by the company's later hiring language around a conversational crime intelligence platform for banks, fintechs, and other platforms exposed to financial crime [Consider, August 2026] [BeeBee, September 2026]. A third adjacent segment is compliance and investigations infrastructure, where CUBE3 AI's launch-era Manage product and its later crime-intelligence framing suggest overlap with case management, monitoring, and operational decision support rather than pure transaction blocking alone [Citybiz, August 2023] [AMLP Forum].
That positioning cuts both ways. It gives CUBE3 AI room to sell into more than one budget line if buyers accept a combined fraud, scam, and cyber narrative, but it also means the company may encounter different incumbent expectations in each segment. Crypto-native buyers often want deep chain coverage and wallet or smart contract context, while banks and fintechs usually expect integrations into established fraud operations, analyst workflows, and regulatory processes. The public evidence supports the first category more clearly than the second, because the earliest reporting is specific on Web3 transaction security and later expansion is described mainly through company positioning and job listings rather than independent implementation detail [TechCrunch, August 2023] [Crowdfund Insider, August 2023] [Consider, August 2026].
The company's edge today appears to rest on two linked claims. First, it has presented a pre-transaction prevention thesis from the beginning, with Crowdfund Insider describing a system built to analyze activity and infrastructure before funds move [Crowdfund Insider, August 2023]. Second, company materials argue that the platform combines blockchain data with Web2 signals such as forums and social media to attribute fraud earlier in the cycle, and that the system has operated across five named chains: Ethereum, Polygon, Avalanche, Arbitrum, and BNB [CUBE3.AI blog, September 2024] [CUBE3.AI blog, April 2024]. If that multi-signal detection loop is technically strong, it could create a useful data advantage. The durability of that edge is still hard to rate from public evidence, because the strongest articulation comes from company-controlled sources rather than independent benchmarks or customer case studies [CUBE3.AI blog, September 2024] [CUBE AI, retrieved 2026].
The same record also shows where the story is perishable. CUBE3 AI raised an $8.2 million seed round in August 2023 led by Blockchange Ventures, with participation from several crypto and venture investors [Crowdfund Insider, August 2023] [Citybiz, August 2023]. That is enough capital to establish product and early go-to-market, but not obviously enough by itself to dominate a category that spans financial crime, cyber, and institutional compliance. A reported $48.5 million 2026 round would change that picture if confirmed, yet the underlying evidence remains a funding database entry without corroboration from a company announcement, investor release, or regulatory filing [FundUp, September 2026]. Until that is independently confirmed, capital depth should be treated as modest relative to the ambition implied by the current positioning.
The largest exposure is category stretch. The company is trying to move from a clearly legible Web3 wedge into a broader financial-crime platform at a moment when enterprise buyers tend to scrutinize proof points by workflow, not by slogan. Public sources support active hiring into product, customer platform, intelligence, and forward-deployed roles, which suggests the company is building toward more complex deployments [Consider, August 2026] [BeeBee, September 2026] [LinkedIn, December 2025]. Still, public reporting does not yet establish contract sizes, production deployment scale, or referenceable wins in banking that would validate this transition. In practice, that leaves CUBE3 AI exposed to narrower specialists in any segment where buyers prefer a proven point solution over a cross-category platform claim.
Over the next 18 months, the most plausible competitive outcome is a split market rather than a winner-take-all one. CUBE3 AI is better positioned if fraud buyers increasingly prioritize earlier intervention and if crypto-linked scam patterns continue to spill into mainstream fintech workflows, because that would reward its pre-movement intelligence framing and its mixed Web2-Web3 data story [Crowdfund Insider, August 2023] [CUBE3.AI blog, September 2024]. In that scenario, Blockchange Ventures looks like the public investor most visibly aligned with the company's original wedge, and therefore the clearest winner if the company converts that wedge into a broader enterprise category [Crowdfund Insider, August 2023]. The most obvious loser if the opposite happens is the unconfirmed 2026 financing narrative itself: if the company does not demonstrate that the broader crime-intelligence expansion is landing with institutions, the reported $48.5 million venture round will remain less a competitive signal than a diligence question [FundUp, September 2026].
Inferred, not confirmed -- This section relies on two independent public reports for CUBE3 AI's original Web3 positioning and seed financing, but the broader competitive framing and 2026 expansion narrative depend partly on company-controlled materials, job listings, and an unconfirmed funding database entry [TechCrunch, August 2023] [Crowdfund Insider, August 2023] [Citybiz, August 2023] [Consider, August 2026] [BeeBee, September 2026] [FundUp, September 2026].
Opportunity
Upside case
From the public record If CUBE3 AI turns its early security wedge into a broadly adopted financial crime prevention layer, the prize is not a niche crypto tooling business but a control point that sits in front of money movement for banks, fintechs, exchanges, and other fraud-exposed platforms [Crowdfund Insider, August 2023] [Consider, August 2026] [BeeBee, September 2026].
The clearest upside is a transition from point solution to decisioning infrastructure. The public record shows that the company began with real-time Web3 transaction security, launched with products meant to detect, block, and manage malicious activity, and framed its value around acting before funds move rather than after losses occur [TechCrunch, August 2023] [Citybiz, August 2023] [Crowdfund Insider, August 2023]. More recent public positioning is broader: job listings and company materials describe a conversational or agentic crime intelligence platform for banks, fintechs, and platforms facing AI-enabled crime [Consider, August 2026] [BeeBee, September 2026] [CUBE AI]. That matters because pre-transaction risk controls tend to sit closer to authorization flows and operating workflows than post-loss investigation tools do. If CUBE3 can make that shift credibly, it could become part of the default stack for institutions that need to stop fraud before payout, settlement, or withdrawal.
The opportunity is reachable, not merely theoretical, because there is evidence of three ingredients already in place. First, the company has a defined technical wedge in real-time screening and intervention [Crowdfund Insider, August 2023]. Second, it has shown an ability to reposition from crypto-native security into a broader financial crime narrative without abandoning the underlying threat-detection core [TechCrunch, August 2023] [Consider, August 2026]. Third, seed investors and one investor write-up point to recognized relationships with Google, Space and Time, and Primex, although the public record does not establish contract scope or revenue contribution [Symbolic Capital, August 2023]. For an early-stage company, that is enough to support an upside case built on distribution and product expansion, while still leaving major execution questions open.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Embedded payments gatekeeper | CUBE3 becomes a pre-transaction risk layer embedded into fintech and exchange payment flows, scoring and blocking suspicious activity before funds leave the platform | A visible win with a regulated fintech, exchange, or infrastructure partner that validates the move from crypto security into broader fraud prevention [Consider, August 2026] [BeeBee, September 2026] | The company already frames its product around stopping scams before money moves and serving banks and fintechs, not only crypto-native teams [Crowdfund Insider, August 2023] [Consider, August 2026] |
| Intelligence console for financial crime teams | The conversational platform becomes the operating interface used by fraud, trust, and cyber teams to investigate live criminal campaigns and take action across accounts and transactions | Continued hiring into intelligence, insights, customer platform, and forward-deployed product roles, which suggests product surface area beyond a single API [Consider, August 2026] [BeeBee, September 2026] [LinkedIn, December 2025] | Public job descriptions point to an intelligence and insights platform and customer platform, while external descriptions call the product a conversational crime intelligence platform [Consider, August 2026] [AMLP Forum] |
| Cross-chain to cross-channel graph moat | The company extends its early blockchain monitoring into a broader graph of wallets, accounts, infrastructure, and web signals, improving detection as more attack patterns are observed | More adoption of the web-content attribution approach described in company materials, combined with the existing multi-chain data foundation [CUBE3.AI blog, September 2024] [CUBE3.AI blog, April 2024] | Company materials say its models analyze historical and real-time blockchain data across five chains and scan Web2 sources such as forums and social platforms for fraud attribution, which is directionally consistent with building a richer signal graph, though the claims remain company-sourced [CUBE3.AI blog, April 2024] [CUBE3.AI blog, September 2024] |
The compounding mechanism, if it emerges, is straightforward. Better detection at the moment of account compromise or transaction initiation should generate more labeled fraud and scam outcomes, which can improve models, sharpen policy rules, and make the product more useful across adjacent customer workflows [Crowdfund Insider, August 2023] [AMLP Forum]. In the company-sourced materials, that loop appears to be the intended design: continuous model improvement, coverage across multiple chains, and attribution from off-chain content into on-chain threat signals [CUBE3.AI blog, April 2024] [CUBE3.AI blog, September 2024] [CUBE AI]. The public hiring pattern also supports a platform-building interpretation. Roles in forward-deployed product, intelligence and insights, customer platform, sales operations, and QA suggest a company investing not only in detection models but in implementation, workflow, and repeatability [BeeBee, September 2026] [Consider, August 2026] [LinkedIn, December 2025] [LinkedIn, March 2025]. If that mix works, each new customer can do more than add revenue. It can improve the rule base, broaden the training set, and make future deployments easier.
The size of the win is still best framed as scenario analysis, not precision. Public sources provided here do not include a named third-party market size report or a directly comparable public peer with cited valuation multiples, so the cleanest comparable is strategic role rather than exact number. If CUBE3 becomes an embedded control layer for financial crime prevention across fintech, banking, and crypto-adjacent flows, it would be competing for budget that is closer to core risk infrastructure than discretionary analytics [Consider, August 2026] [BeeBee, September 2026]. In that scenario, the company could plausibly support venture-scale outcomes well beyond a narrow Web3 security niche, particularly if the unconfirmed 2026 financing report proves directionally reflective of investor appetite for the category [FundUp, September 2026]. That is a scenario, not a forecast. The central upside case rests on owning the prevention layer before money moves, not on being the best known blockchain monitoring vendor.
Single-source, plausible -- Built mainly from TechCrunch, Crowdfund Insider, Citybiz, job listings, and investor materials; several product-expansion claims rely on company or company-adjacent sources, and no independent public market-sizing source was provided in the record.
Sources
From the public record
[Crunchbase] CUBE3 AI company profile | https://www.crunchbase.com/organization/cube3-ai
[Crowdfund Insider, August 2023] CUBE3.AI Launches Real-Time Web3 Transaction Security Platform to Block Malicious Threats | https://www.crowdfundinsider.com/2023/08/211363-cube3-ai-launches-real-time-web3-transaction-security-platform-to-block-malicious-threats/
[TechCrunch, August 2023] The future of crypto might be multichain | https://techcrunch.com/2023/08/09/beacon-demo-day-s23-cohort/
[Consider, August 2026] Technical Product Manager, Intelligence & Insights Platform | https://consider.com/boards/vc/symbolic-capital/jobs/cube3-ai
[Citybiz, August 2023] Cube3.AI Raises $8.2M in Seed Funding | https://www.citybiz.co/article/454153/cube3-ai-raises-8-2m-in-seed-funding/
[AMLP Forum] CUBE AI profile | https://amlpforum.com/sponsors/cube-ai/
[CUBE AI, retrieved 2026] CUBE AI | Agentic Crime Prevention Platform | https://www.cube3.ai/
[BeeBee, September 2026] Product Manager (Forward Deployed) | https://bebee.com/us/jobs/product-manager-forward-deployed-cube3-new-york--predictleads-e98ff643-c010-4fa1-8806-e40549c64efe
[CUJO AI] CUJO AI company website | https://cujo.com/
[BizTechReports, December 2018] CUJO AI Brings Enhanced Intelligence to ISPs Through New Platform | https://biztechreports.com/news-archive/2018/12/4/cujo-ai-brings-enhanced-intelligence-to-isps-through-new-platform
[The Org] CUBE3 AI organizational chart | https://theorg.com/org/cube3-ai
[FundUp, September 2026] Cube AI funding profile | https://fundup.ai/recently-funded-startups/company/1405b67d35072cc0cb1c576fe75646a0135a6005fc67b9e623b020a5cd0d6331/cube-ai
[LinkedIn, December 2025] Sales & Operations Manager at CUBE3.AI | https://www.linkedin.com/jobs/view/sales-operations-manager-at-cube3-ai-4343102085
[LinkedIn, March 2025] Quality Assurance Engineer at CUBE3.AI | https://lt.linkedin.com/jobs/view/quality-assurance-engineer-at-cube3-ai-4167871813
[CUBE3.AI blog, April 2024] How CeFi Can Navigate Evolving Regulations with Real-Time Crypto Crime Detection | https://blog.cube3.ai/2024/04/10/cefi-crypto-crime-detection-use-case-cube3-ai/
[CUBE3.AI blog, September 2024] CUBE3.AI Ongoing Product Release Notes | https://blog.cube3.ai/2024/09/05/cube3-ai-product-release-notes-ongoing/
[LinkedIn, September 2023] CUBE3.AI LinkedIn profile | https://www.linkedin.com/company/cube3ai/
[Enterprise Ethereum Alliance] CUBE3 AI member profile | https://entethalliance.org/members/cube3-ai/
[Symbolic Capital, August 2023] Why We Invested: Cube3.ai | https://www.symbolic.capital/writing/why-we-invested-cube3-ai
Articles about CUBE3 AI
- CUBE3 AI Lands Google and Space and Time for Its Pre-Crime Crypto Platform — The Palo Alto startup, which raised $8.2 million in 2023, is betting that real-time AI can stop financial crime before money moves.