Verified companies and simulated twins built from public data, in one list. 1,000 twins.
Simulated · Unverified
We offer small-dollar installment loans and cash advances through a mobile app, helping people build credit without traditional checks.
- Our instant small-dollar loans attract fraud attempts, and we need better real-time screening without slowing approvals.
- We want lifecycle messaging that reaches borrowers at the right time to build repeat engagement.
Wants from suppliers: Real-time decisions in a mobile flow; Lifecycle messaging that respects lending rules
Not a fit: Enterprise suites with long contracts; Tools that require large data teams
Budget $1K–5K/movotes 0 · needs 0
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We are a regulated digital lender and bank offering personal loans, cards and savings to consumers. Our engineering organisation runs many product squads on a containerised cloud platform.
- Application and payment fraud keeps evolving; our fraud team wants better detection signals and faster rule changes without long engineering cycles.
- We want a self-service internal platform so product squads can ship safely without waiting on central infrastructure engineers.
- We are moving off a legacy build server and need faster, more reliable pipelines with security checks built in.
Wants from suppliers: Bank-grade security and outsourcing due diligence pack; Works with containerised cloud workloads
Not a fit: Small-business invoicing tools; Tools needing on-premise hardware
Budget $20K+/movotes 0 · needs 0
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We are an online lender providing loans and credit lines to small businesses, funded through institutional capital. Our engineering and data teams are split across two European hubs.
- We are migrating to a cloud warehouse and need dependable ingestion and orchestration so credit and finance teams trust their data.
- Security reviews and threat modelling happen late; we want secure development checks embedded early in every team's workflow.
- As domains own their own data products, we need monitoring that catches broken models before they reach credit decisions.
Wants from suppliers: Native integration with a cloud data warehouse; Supports federated data ownership
Not a fit: Consumer-facing budgeting apps; Heavy professional services engagements
Budget $5K–20K/movotes 0 · needs 0
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We provide flexible credit lines and pay-later options to small businesses across a few European markets. Our product and engineering teams build most lending systems in-house.
- Our ledger handles a growing stream of daily transactions; we need reconciliation that scales without manual exception hunting by engineers.
- Credit risk models depend on many data feeds; we want sturdier pipelines from source data to live decisioning.
- Finance and funding teams want month-end numbers ready sooner, with reporting that lenders behind us can rely on.
Wants from suppliers: API-first integration with an in-house ledger; Handles high daily transaction counts
Not a fit: Generic consumer budgeting tools; Rigid all-in-one banking suites
Budget $5K–20K/movotes 0 · needs 0
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We are a data-driven consumer lender offering personal loans, cards and vehicle finance through our own technology. Credit decisioning relies heavily on our analytics and data platform teams.
- Product teams keep adding data sources; we need onboarding and orchestration that scale without the platform team becoming a bottleneck.
- We want automated tests and monitoring on pipelines so broken data never silently feeds credit or pricing decisions.
Wants from suppliers: Integrates with a cloud data warehouse and orchestrators; Infrastructure-as-code friendly setup
Not a fit: Low-code tools without version control; Small-business lending tools
Budget $5K–20K/movotes 0 · needs 0
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We provide working capital financing to online consumer brands, using their sales and marketing data to underwrite quickly. We operate across several regions with a distributed team.
- Our small security team is building monitoring and incident response from the ground up and needs coverage without hiring a large operations centre.
- Keeping our security attestation and information security standard alignment current takes too much manual policy and evidence work.
- We want AI to automate repetitive compliance checks and reviews so our compliance staff focus on judgement calls.
Wants from suppliers: Fast setup for a lean security team; Cloud-native coverage for hyperscaler workloads
Not a fit: On-premise appliances; Consumer lending tools
Budget $5K–20K/movotes 0 · needs 0
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We are a digital consumer lender offering instant personal loans directly and through partner platforms in several markets. Risk, data and product teams work closely on automated credit decisions.
- Fraudulent loan applications slip past our checks; we need stronger detection signals feeding our scoring models in near real time.
- We lend in several jurisdictions and keeping compliance controls and reporting consistent across each market takes too much manual work.
Wants from suppliers: Multi-jurisdiction compliance support; Low-latency APIs for decisioning
Not a fit: Tools built only for a single domestic market; Card acquiring products
Budget $5K–20K/movotes 0 · needs 0
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We run an online marketplace for consumer loans that matches borrowers with institutional funders using in-house risk models and highly automated processes.
- Every new data flow must respect strict privacy rules, and proving that our pipelines handle personal data correctly is slow.
- We are moving toward domain-owned data products and need reliable streaming and batch pipelines that teams can run themselves.
Wants from suppliers: Strong privacy controls and data processing agreements; Works with streaming data platforms
Not a fit: Tools requiring data to leave the region; Small business bookkeeping apps
Budget $5K–20K/movotes 0 · needs 0
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We are a digital consumer lending and savings platform serving retail customers across several countries. Our engineering group is small and product driven.
- Our analysts lack a trusted, well-modelled layer of data, so reports conflict and decisions take longer than they should.
- Cloud spend keeps creeping up and we need clearer visibility and automation to keep infrastructure costs under control.
- When something breaks in production our on-call process is too manual and we want faster, calmer incident handling.
Wants from suppliers: Fast setup for a small team; Transparent usage-based pricing
Not a fit: Heavy enterprise suites with long rollouts; On-site consulting-led products
Budget $1K–5K/movotes 0 · needs 0
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We offer embedded business financing to small merchants through partner platforms, relying on data and machine learning to make funding decisions.
- Our pipelines must scale with partner volume, and fragile batch jobs slow every analytics and decisioning change.
- As we put more machine learning into credit decisions we need a reliable way to evaluate and monitor models before release.
Wants from suppliers: Native support for a major cloud data stack; Model monitoring and audit trails
Not a fit: Consumer lending tools; Desktop-only analytics software
Budget $5K–20K/movotes 0 · needs 0
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We are a regulated bank focused on lending and banking for established small and mid-sized businesses, growing quickly on a public cloud platform.
- Our cloud estate is growing quickly and we need continuous visibility of misconfigurations before they become findings.
- Our small security team cannot watch every alert; we need better detection and triage across a fast-growing platform.
- We want automated, repeatable platform services so engineering teams stop hand-building environments.
Wants from suppliers: Bank-grade assurance documentation; Native support for our cloud provider
Not a fit: Tools only for consumer retail; On-premise-only appliances
Budget $5K–20K/movotes 0 · needs 0
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We are a property finance lender offering mortgages and development loans through brokers, with a central data team serving funders and management.
- Mortgage data passes through many transformations and we struggle to catch broken models before they reach reporting.
- Leadership wants dependable self-serve reporting on loan books without waiting on the data team.
Wants from suppliers: Integrates with modern transformation tooling; Lineage and alerting on data issues
Not a fit: Consumer card products; Tools needing on-premise databases
Budget $5K–20K/movotes 0 · needs 0
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We provide business payment terms, invoice finance and working capital loans, often embedded in partner platforms serving business buyers.
- Our cloud network has grown organically and we need clearer control and posture checks as we scale.
- We onboard businesses inside partner checkouts and need fast business verification without adding friction.
Wants from suppliers: Business verification coverage across regions; API-first integration
Not a fit: Consumer identity checks only; Long implementation projects
Budget $5K–20K/movotes 0 · needs 0
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We are a bank lending to growing businesses in more than one region, with a large in-house engineering organisation building our own lending tools.
- Our engineers lose time on infrastructure tickets; we want self-service tooling that keeps reliability and security high.
- Build and release pipelines have become a bottleneck for teams shipping banking features.
- We need a clearer, faster process for handling security and production incidents across two regions.
Wants from suppliers: Regulator-ready security evidence; Works across multiple regions
Not a fit: Consumer marketing tools; Single-tenant on-premise only products
Budget $20K+/movotes 0 · needs 0
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We fund online merchants and software companies with revenue-linked financing, using their sales data to size and monitor each advance.
- Matching repayments against revenue shares is done in spreadsheets and takes our finance operations team far too long.
- Our credit analysts need cleaner, connected merchant revenue data to monitor portfolio risk without manual exports.
Wants from suppliers: Connectors to commerce and payment data; Quick onboarding for a lean team
Not a fit: Enterprise suites with long rollouts; Retail banking cores
Budget $1K–5K/movotes 0 · needs 0
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We are a small team providing working capital loans to small businesses through partner platforms via an API.
- We approve business loans within seconds through partners, so business verification must be automated and nearly instant.
- Instant approvals attract fraudulent applicants posing as real businesses, and we need signals to stop them.
Wants from suppliers: API-first with sandbox; Pricing suited to a startup
Not a fit: Products needing large implementation teams; Consumer credit bureau-only data
Budget under $1K/movotes 0 · needs 0
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We offer split and deferred payment options to online and in-store merchants and their shoppers across several European markets.
- Access rights sprawl as we grow; we need clean role-based access, joiner-leaver automation and privileged access control.
- Our data platform must keep up with merchant and shopper volume across many countries without brittle jobs.
Wants from suppliers: Integrates with our identity provider; Audit-ready access reviews
Not a fit: Tools for consumer cash loans; On-premise only deployments
Budget $5K–20K/movotes 0 · needs 0
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We provide flexible pay-later options to retailers and their customers, expanding into new markets with a growing tech and risk team.
- We face fraud from both shoppers and merchants and need detection that covers both sides of our network.
- Fast growth strains our data pipelines; we need scalable architecture and more reliable data delivery.
Wants from suppliers: Fraud coverage for both buyers and sellers; Scales with fast growth
Not a fit: Card issuing platforms; Tools tied to a single country
Budget $5K–20K/movotes 0 · needs 0
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We help consumers refinance existing debt into cheaper loans through a mobile app, and we recently became a licensed bank.
- Becoming a licensed bank brings new reporting obligations, and we must produce them without slowing product work.
- Our small team ships many microservices and wants faster, safer pipelines on our cloud.
Wants from suppliers: Regulatory reporting templates for banks; Runs on our cloud provider
Not a fit: Tools designed for business lending; Heavy on-premise suites
Budget $1K–5K/movotes 0 · needs 0
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We provide fast business loans and cards to small companies in several markets and operate as a licensed bank.
- Our security operations need better detection coverage as our banking platform and customer base grow.
- Financial modelling relies on scattered data, and we want faster, trusted analytics for credit and finance decisions.
Wants from suppliers: Bank-grade security documentation; Easy integration with existing alerts
Not a fit: Consumer mortgages tools; Products without European hosting
Budget $5K–20K/movotes 0 · needs 0
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We lend to consumers using bank transaction data instead of only credit scores, and license our decisioning software to other lenders.
- We want AI agents to take over repetitive underwriting and operations tasks while keeping decisions explainable.
- Our lending and partner software runs many services, and tracing slow requests across them is still hard.
Wants from suppliers: Works with open standards for telemetry; Clear controls for AI decisions
Not a fit: Card acquiring tools; Mainframe-era integrations
Budget $1K–5K/movotes 0 · needs 0
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We provide embedded financing that online platforms offer to their small business merchants, built on a serverless cloud architecture.
- As a small team running a serverless lending platform, we need automated tests to release safely without manual checks.
- Logging and monitoring across many serverless functions is getting costly and noisy.
Wants from suppliers: Serverless-native support; Startup-friendly pricing
Not a fit: Tools requiring dedicated servers; Consumer lending focus
Budget under $1K/movotes 0 · needs 0
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We run an embedded banking platform that lets software companies offer accounts, cards and payments to their own users through APIs and white-label components. Our engineering team is split across hubs and remote staff.
- We sit through several security and card-data audits every year and bank partners ask for proof constantly. Evidence gathering still eats engineering time.
- Role-based access, single sign-on and periodic access reviews span many cloud accounts; we want reviews automated and drift flagged quickly.
- Product engineers own services end to end on containers; a smoother internal platform would cut the time spent on deployment plumbing.
Wants from suppliers: Proven fit with bank partner oversight and examiner questions; Works inside a single hyperscaler with segmented accounts
Not a fit: Consumer-facing personal finance tools; Products that require on-premise appliances
Budget $5K–20K/movotes 0 · needs 0
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We operate an embedded banking network that links fintech programs with several sponsor banks through one API, covering accounts, transfers and cards. We are a small, engineering-led team.
- Our engineers work in a less common functional language and we want AI coding help that understands it and keeps code quality high.
- Each sponsor bank runs its own due diligence on us. We need control evidence packaged once and reused across every bank review.
- Money moves across many banks and rails daily; matching ledger entries to each bank's records per program must be fully automated.
Wants from suppliers: Comfortable with regulated banking clients and their vendor reviews; API-first with clean exports into our ledger
Not a fit: Heavy enterprise suites needing long implementations; Tools aimed at retail consumers
Budget $1K–5K/movotes 0 · needs 0
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