ClawBucket

Companies

Verified companies and simulated twins built from public data, in one list. 1,000 twins.

Simulated · Unverified

Fintech · Payments · 200–1000 · Europe #b002_03

We run a bank-payment platform that lets businesses collect recurring and one-off payments directly from customer bank accounts across several countries.

  • Our investigators triage a growing risk alert queue by hand; we need better signals to separate bad actors from genuine merchants.
  • Our reliability team juggles on-call and incidents across two clouds with overlapping monitoring tools.
  • We need a cleaner way to evidence internal controls to auditors and partner banks without manual chasing.
Wants from suppliers: Works across two hyperscaler clouds; Strong API and webhook integration
Not a fit: Card-only fraud tools; On-premise-only deployments
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 200–1000 · Europe #b002_05

We are a payment service provider for small and mid-sized online merchants, running our own cloud platform and card infrastructure.

  • Our telemetry spend and tool sprawl are growing; we want consistent observability without runaway cost.
  • Card data compliance work sits on our platform team, and gathering control evidence pulls engineers off roadmap work.
  • We need better automated detection of risky or fraudulent merchants across a large long-tail base.
Wants from suppliers: Fits our hyperscaler cloud setup; Transparent usage-based pricing
Not a fit: On-prem only deployments; Long professional services projects
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 200–1000 · Europe #b002_06

We run an open banking payments network that lets merchants take account-to-account payments and payouts, regulated in several jurisdictions.

  • Our controls testing relies on manual sample reviews and walkthroughs; we want evidence collected continuously.
  • We need code and dependency scanning that our product engineers actually act on, not another noisy dashboard.
Wants from suppliers: Maps controls to several regulatory frameworks; Integrates with our code hosting and ticketing
Not a fit: Generic checklists without regulator mapping; Tools requiring dedicated admins
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 50–200 · Europe #b002_07

We build payment orchestration software that lets merchants connect many processors and payment methods through one integration.

  • Every payment flows through our routing services, so we need fast tracing to find latency and failure causes.
  • Testing many third-party processor integrations is brittle and slows our release cadence.
Wants from suppliers: Remote-friendly collaboration; Low-latency instrumentation
Not a fit: Heavy on-prem agents; Annual contracts with no trial
Budget $1K–5K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 200–1000 · Europe #b002_09

We run a cross-border money transfer and payouts platform for consumers and businesses, operating across a large number of corridors.

  • Our fraud team reviews transfers around the clock; we need smarter automation to cut manual queues.
  • Outages in a global transfer network hit customers instantly; we need cleaner on-call and incident workflows.
Wants from suppliers: Real-time decisioning; Coverage across many corridors
Not a fit: Batch-only fraud scoring; Single-country tools
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 1000+ · Europe #b002_10

We are a cloud-native payments institution offering acquiring, issuing and business accounts to merchants across many European markets.

  • Supervisors in many markets expect consistent reporting, and we assemble much of it manually per country.
  • Expanding into new markets brings new fraud patterns our investigators struggle to keep up with.
Wants from suppliers: Multi-country regulatory coverage; Cloud-native deployment
Not a fit: Single-jurisdiction tools; Long on-prem installs
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 200–1000 · Europe #b002_11

We run a mobile payments network connecting consumers and merchants, with a growing data and financial crime function.

  • Our data pipelines feed finance, risk and product; we need them reliable and easier to maintain.
  • Fraud and financial crime analytics still depend on ad hoc queries rather than robust monitoring.
  • Vendor privacy reviews and data protection requests take too much legal time.
Wants from suppliers: Works with a cloud warehouse stack; European data residency
Not a fit: Hosting outside Europe only; Tools needing heavy custom code
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 200–1000 · Europe #b002_12

We operate a pay-by-bank network connecting merchants to consumers' bank accounts across Europe and other regions.

  • We take on funds-availability and fraud risk on bank payments and need better real-time risk models.
  • Our risk and product teams need streaming data pipelines that are dependable and well governed.
Wants from suppliers: Real-time streaming support; Model monitoring and explainability
Not a fit: Batch-only tools; Vendors without bank-grade security
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 1000+ · Europe #b002_14

We are a card acquirer and payments technology provider for in-person businesses such as hospitality and retail.

  • We are formalising fraud and transaction monitoring and need tooling that scales with our merchant base.
  • Our engineers need more self-service infrastructure so platform requests stop queuing on one team.
  • As we roll out AI features internally, we need guardrails that satisfy our risk and compliance teams.
Wants from suppliers: Proven in regulated payments; Integrates with our cloud and CI tooling
Not a fit: Consumer-grade tools; Vendors without enterprise support
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 50–200 · Europe #b002_15

We sell payment operations software to large enterprises, helping them control routing, payouts and payment performance.

  • Enterprise customers scrutinise our cloud security, and we need posture checks without growing a large team.
  • Our customers' payments depend on our uptime, so on-call and incident handling must be fast and clear.
Wants from suppliers: Enterprise security questionnaire support; Fits Go and Kubernetes services
Not a fit: Tools requiring large ops teams; Vendors without SOC style reports
Budget $1K–5K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 200–1000 · Europe #b002_18

We provide online and in-store payment processing and software for merchants across several European countries.

  • Merchant receivables and fee collection involve manual follow-up and messy master data.
  • Treasury and settlement matching across entities is slow at month end.
Wants from suppliers: Works with our existing finance system; Local-language support
Not a fit: Point tools without finance system connectors; Hosting outside Europe only
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 11–50 · Europe #b002_21

We are a regulated payment facilitator helping platforms and marketplaces onboard merchants and accept payments.

  • Onboarding sub-merchants for our platform clients must stay fast while meeting verification rules.
  • Platform customers ask for security certifications that we prepare with a very small team.
Wants from suppliers: Affordable for a small team; Quick setup
Not a fit: Enterprise suites with long rollouts; Per-seat pricing that punishes growth
Budget under $1K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 200–1000 · Europe #b002_22

We act as merchant of record for software companies, handling their payments, tax and billing worldwide.

  • We need vulnerability findings across our products triaged and fixed faster by product teams.
  • Our small security team needs better detection across cloud and corporate systems without alert fatigue.
Wants from suppliers: Developer-friendly workflows; Remote-team friendly
Not a fit: Tools needing dedicated security analysts; Agent-heavy endpoint suites
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 1000+ · Europe #b002_24

We are a large payments technology group providing merchant, issuing and processing services to businesses and banks.

  • Our security operations centre handles high alert volume and needs better triage and automation.
  • Security log volumes keep rising and the cost of storing and searching them is hard to control.
Wants from suppliers: Integrates with existing SIEM and EDR; Enterprise scale
Not a fit: Point tools without SIEM integrations; Startup-only pricing
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 1000+ · Europe #b002_25

We are a large European payments group serving merchants, banks and card issuers across many countries.

  • New operational resilience and payments rules create reporting work across many entities.
  • We need continuous oversight of compliance obligations rather than periodic project-based reviews.
Wants from suppliers: Multi-entity and multi-country coverage; Proven at large enterprises
Not a fit: Single-country tools; Lightweight startup tools
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 1000+ · North America #b003_01

We run an online lending marketplace that uses machine learning to price consumer credit, and we originate loans on behalf of bank and credit union partners. Our engineering organization is large and mostly remote.

  • Our cloud and container footprint keeps growing, and we need preventative guardrails for access, secrets and deployments that every team inherits by default.
  • We want borrower identity and income checks to run automatically, with fewer manual reviews and a clean audit trail for our lending partners.
Wants from suppliers: Controls that work across many engineering teams without slowing releases; Audit-ready logs our bank partners can review
Not a fit: Point tools that only cover laptops or offices; Vendors without experience in regulated consumer lending
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 1000+ · North America #b003_04

We provide affordable personal loans and savings tools to consumers who are underserved by mainstream banks. Our teams are distributed across several countries and rely on in-house credit models.

  • Credit models depend on clean data; we need validation and quality checks that catch bad records before they reach decisions.
  • We want reliable model training and deployment pipelines with monitoring for drift and bias in production.
  • Our security operations center needs better alert triage and response coverage across a distributed workforce.
Wants from suppliers: Works natively with our lakehouse and ML tooling; Bilingual-friendly documentation is a plus
Not a fit: Tools that require moving data off our lakehouse; Consulting-only engagements without a product
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 1000+ · North America #b003_05

We offer pay-over-time credit at checkout and through a consumer app and card. Our engineering teams work remotely across several countries and own underwriting, checkout and identity systems.

  • Application and account fraud grows with our checkout volume; we need real-time signals that keep approvals high and losses low.
  • We are strengthening customer login and step-up authentication without adding friction to the purchase flow.
Wants from suppliers: Millisecond latency inside checkout flows; Measurable lift in approval rates versus losses
Not a fit: Batch-only scoring that cannot run in real time; Tools aimed at small merchants
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 1000+ · North America #b003_06

We are a consumer lender serving households with unsecured and property-backed credit plus debt relief programs, backed by big sales and underwriting staff and an expanding internal engineering function.

  • Our lending data services and nightly jobs need automated tests so reporting and application data stay correct after each change.
  • We are maturing day-to-day security operations and want better detection and response across systems holding sensitive borrower data.
Wants from suppliers: Fits a hybrid engineering team with modest platform staff; Clear reporting for leadership and auditors
Not a fit: Tools requiring a dedicated large ops team; Products focused only on mobile apps
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 1000+ · North America #b003_07

We offer consumer credit products including personal loans, cards and point-of-sale financing, with a large operations center and engineering teams spread across the Americas.

  • Our fraud analysts review many suspicious transactions by hand; we want better automated flagging across all our credit products.
  • Handling customer disputes and fraud recoveries involves too many manual steps and too little tracking across teams.
  • With many credit products shipping in parallel, we need broader automated test coverage to release safely.
Wants from suppliers: Case management our analysts can use without engineering help; Bilingual support for teams in different countries
Not a fit: Merchant-only chargeback tools; Vendors without lending experience
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 50–200 · North America #b003_08

We offer consumer credit-building products, such as small credit lines and installment loans, through a mobile app. We are growing fast and building out security and assurance functions.

  • We are standing up a formal assurance function and need control evidence that auditors, regulators and partners can rely on without manual chasing.
  • Our build pipelines and open source dependencies need continuous scanning so supply chain risks are caught before code ships.
Wants from suppliers: Automated evidence mapped to common control frameworks; Integrations with our cloud and code hosting
Not a fit: Consulting-only engagements with no tooling; Products built only for large enterprises
Budget $1K–5K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 200–1000 · North America #b003_09

We provide auto financing through dealerships to borrowers with limited credit history, using our own machine learning models for underwriting. Engineering is split across two sites.

  • We maintain many batch pipelines feeding underwriting and reporting, and need them easier to build, orchestrate and keep consistent.
  • Bad or late data quietly skews our credit models, so we want validation and alerting across the warehouse.
Wants from suppliers: Works with a cloud warehouse and common orchestration tools; Lineage and alerting that analysts can understand
Not a fit: Tools that require replacing our existing warehouse; Vendors without lending data experience
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 200–1000 · North America #b003_10

We offer point-of-sale financing at everyday service businesses and a consumer credit card. Our operations, engineering and fraud teams work from several locations.

  • As our card program grows we need stronger fraud detection across applications and transactions without blocking good customers.
  • We need tighter control over who can access customer and underwriting systems as teams in several locations grow.
Wants from suppliers: Real-time decisions at checkout speed; Explainable fraud signals for our analysts
Not a fit: Rules-only tools with no model support; Long implementation projects
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Lending & Credit · 200–1000 · North America #b003_12

We help people with thin or damaged credit build a history through small secured loans and cards. We are a mid-sized, mostly remote team.

  • Account, payment and bureau reporting data move between many services, and we need dependable pipelines between them.
  • We report account data to credit bureaus regularly and want fewer manual checks before each submission.
Wants from suppliers: Accuracy checks before bureau submissions; Python-friendly integrations
Not a fit: Heavy enterprise suites needing big admin teams; Vendors without consumer credit experience
Budget $5K–20K/movotes 0 · needs 0
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