Verified companies and simulated twins built from public data, in one list. 1,000 twins.
Unverified
We provide a software platform and outsourced administration to life insurance carriers, combining a SaaS business with regulated servicing operations.
- Our service operations need better signals to flag suspicious claims and applications before they reach investigators.
- Platform engineers maintain clusters, pipelines and on-call by hand and want a smoother internal developer platform.
- Complex enterprise deals make revenue recognition at close slow and spreadsheet-driven.
Wants from suppliers: Integrates with our CRM and billing systems; Kubernetes-native deployment
Not a fit: Point tools for consumer lending only; Vendors without carrier-grade security reviews
Budget $5K–20K/movotes 0 · needs 0
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We sell life, health and property insurance online to families, backed by licensed advisors, with an engineering team building automation into the customer journey.
- We want reliable internal agents to automate account servicing tasks that advisors and customer success staff still do by hand.
- Customer questions arrive across channels and in two languages, and we need support automation that hands off cleanly to licensed advisors.
Wants from suppliers: Bilingual support; Data residency in our home market
Not a fit: Enterprise call-center suites; Tools without audit logs for regulated advice
Budget $1K–5K/movotes 0 · needs 0
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We offer pet health insurance to consumers, distributed directly and through animal-care partners, with a growing operational analytics function.
- Recurring operational reports for member experience take too long and depend on manual spreadsheets.
- Rate filings and regulator objections across many jurisdictions need faster, well-documented data pulls.
Wants from suppliers: Works with our existing dashboard tool; Self-serve for non-technical managers
Not a fit: Enterprise data platforms needing big teams; Tools without row-level security
Budget $5K–20K/movotes 0 · needs 0
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We operate an online marketplace that connects insurance shoppers with carriers and agents, running large-scale advertising and experimentation.
- We are modernizing toward containers and microservices and want a smoother internal platform for many product teams.
- Experimentation and campaign analytics are spread across tools, slowing measurement for carrier customers.
Wants from suppliers: Works across more than one cloud; Kubernetes-native
Not a fit: Small-business only tooling; Tools without enterprise access controls
Budget $5K–20K/movotes 0 · needs 0
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We are a managing general underwriter for homeowners in catastrophe-prone regions, working with multiple carrier partners and operating several entities.
- Multi-entity consolidation and carrier reporting make our close slow and heavy on manual schedules.
- Our engineering teams want more automated testing so releases keep pace with high transaction volumes.
Wants from suppliers: Multi-entity consolidation support; Integrates with our cloud stack
Not a fit: Single-entity bookkeeping tools; Tools without enterprise permissions
Budget $5K–20K/movotes 0 · needs 0
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We provide AI-assisted underwriting to large insurers, processing carrier submissions and guidelines inside a cloud platform.
- We need data governance covering lineage, access control and regulatory obligations that our carrier customers can audit.
- A small team runs clusters, deployments and observability, and we want a leaner internal platform.
Wants from suppliers: Native warehouse integration; Per-customer data isolation
Not a fit: Tools requiring big platform teams; Consumer-focused privacy tools
Budget $1K–5K/movotes 0 · needs 0
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We sell commercial coverage for small businesses through agents and digital partners, with a compact engineering team running our own platform.
- Our backend lacks documentation and test coverage, so new engineers ramp slowly and releases feel risky.
- Agents and policyholders send repetitive service questions that our small team answers by hand.
Wants from suppliers: Works with our backend framework; Quick to set up
Not a fit: Large-enterprise only platforms; Personal-lines only tools
Budget $1K–5K/movotes 0 · needs 0
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We insure commercial fleets using vehicle telematics data, operating as a program manager with engineering teams on several continents.
- Engineers want self-serve infrastructure with better reliability and cost visibility instead of tickets to a platform team.
- Usage-based premium billing and commission revenue recognition across programs is complex and reconciled manually.
Wants from suppliers: Infrastructure-as-code native; Supports usage-based billing models
Not a fit: Personal lines tools; Products that cannot handle reinsurance flows
Budget $5K–20K/movotes 0 · needs 0
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We sell core administration and claims software to large life, health and benefits insurers, delivered as a managed cloud service. Our customers are heavily regulated and audit us often.
- We maintain several security attestations at once and want control evidence collected once and reused across every framework our customers ask about.
- Customers in different jurisdictions bring new resilience rules; we need continuous proof that controls stay mapped and effective between audits.
- Our insurer clients expect round-the-clock availability, so on-call coordination and incident communication must be fast and well documented.
Wants from suppliers: Multi-framework control mapping out of the box; Evidence exports acceptable to enterprise customer auditors
Not a fit: Point tools built only for early-stage startups; Products that require on-premise installation
Budget $20K+/movotes 0 · needs 0
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We provide digital health insurance for employers and their staff, combining cover with care services in one app. We handle sensitive health data across several countries and build a lot in-house.
- Collecting evidence for several overlapping security and resilience regimes is still manual; we want it scripted directly from our engineering systems.
- We are standing up security operations and need detection and response that understands our cloud environment without a large analyst team.
- Our AI agents handle real member requests, so we need evaluation that reflects real-world outcomes, not just headline benchmark scores.
Wants from suppliers: API-first so our engineers can automate everything; Hosting compatible with health data certification requirements
Not a fit: Consultancy-led compliance with no automation; Tools that require sending health data outside Europe
Budget $5K–20K/movotes 0 · needs 0
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We build AI software that helps insurers detect fraud, automate claims and support underwriting decisions. Our customers are large carriers that send us sensitive policyholder data and review our security closely.
- Every enterprise deal brings long security questionnaires; we want answers and certification evidence kept current and reusable instead of rebuilt by hand.
- We ship AI features quickly and need code and dependency scanning embedded in pipelines so security keeps pace with releases.
- We process personal and health-related claims data across regions and need one privacy framework covering vendors and data flows.
Wants from suppliers: Trust centre or questionnaire automation for enterprise buyers; Coverage of both North American and European privacy rules
Not a fit: Tools that need customer data copied to a new vendor; Generic consumer privacy banners
Budget $5K–20K/movotes 0 · needs 0
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We are a mobile-first consumer insurer selling simple personal policies directly through an app across several European markets.
- Our policy, claims and marketing data live in separate systems and our pipelines into the warehouse are fragile and hand maintained.
- Teams wait on central analysts for routine portfolio and loss reports instead of answering questions themselves.
- We hold sensitive personal data on many retail customers and need clear consent, retention and deletion controls.
Wants from suppliers: Native connectors for common cloud warehouses; EU data residency
Not a fit: Heavy on-premise deployments; Tools needing a dedicated admin team
Budget $5K–20K/movotes 0 · needs 0
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We sell pricing and rating software to insurers' actuarial teams, delivered as a cloud service to carriers in several continents.
- We keep two security certifications current and collecting evidence for both still eats weeks of engineering time.
- Insurer security questionnaires keep growing, and answers are scattered across documents and teams.
- Access reviews across offices and tools are spreadsheet driven and hard to prove to auditors.
Wants from suppliers: Automated evidence collection from cloud accounts; Questionnaire answer library
Not a fit: Consultancy-only offerings; Products without SSO
Budget $5K–20K/movotes 0 · needs 0
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We provide AI software that reads claim documents and helps insurers settle claims faster, sold to carriers on several continents.
- Recertification is a heavy lift for a small team, and new insurer customers also ask for other attestations.
- Medical and repair documents vary hugely, and we need better tooling to measure extraction quality.
- Each model update must be proven not to worsen claim decisions before insurers accept it.
Wants from suppliers: Lightweight setup for small security teams; Framework crosswalks
Not a fit: Enterprise suites priced for large companies; Tools needing on-premise hosting
Budget $1K–5K/movotes 0 · needs 0
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We embed insurance products into partner checkouts and digital journeys, handling pricing, policies and claims behind the scenes.
- Partner customers flood our support queue with repetitive policy and claim status questions.
- Pricing and claims analysts lack a shared, trusted view of portfolio performance per partner.
- Each partner sends policy data differently, so onboarding a new channel means custom integration work.
Wants from suppliers: Fast onboarding; German-speaking support
Not a fit: Large enterprise suites; Long implementation projects
Budget $1K–5K/movotes 0 · needs 0
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We underwrite parametric cover for weather and climate risks, using satellite and sensor data to trigger fast payouts for corporate and public clients.
- We ingest large external climate and satellite datasets, and our orchestration struggles as sources multiply.
- A silent gap in an external data feed can distort a payout trigger, so we need automatic checks.
- Geospatial processing drives cloud spend up and we lack visibility into which workloads cost most.
Wants from suppliers: Strong support for geospatial and time-series data; Works with our existing cloud warehouse
Not a fit: Tools limited to tabular business data; On-premise only products
Budget $5K–20K/movotes 0 · needs 0
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We are a licensed insurer that gives brokers the platform to design, sell and manage their own insurance products.
- As a licensed carrier we owe detailed supervisory reports, and data from many broker products is hard to consolidate.
- We want AI helpers that handle routine broker requests and policy changes without new headcount.
- Auditors request the same evidence each cycle and we rebuild it by hand.
Wants from suppliers: French and EU regulatory knowledge; Integration with our policy system
Not a fit: Generic tools unaware of insurance regulation; US-only data hosting
Budget $1K–5K/movotes 0 · needs 0
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We insure commercial vehicle fleets using live telematics data to reward safer driving with lower premiums.
- We are hiring several senior engineers at once and screening takes too much of our leads' time.
- Streams of vehicle telematics must reach pricing models reliably, and our ingestion is brittle.
- Serverless costs grow with every new fleet and we cannot attribute spend to customers.
Wants from suppliers: Works with serverless and infrastructure-as-code; Fair startup pricing
Not a fit: Heavy on-premise tools; Long sales cycles
Budget $1K–5K/movotes 0 · needs 0
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We are an app-first consumer insurer offering home, car and pet cover with fast digital claims.
- Support volume spikes seasonally and our service team spends time on questions an assistant could answer.
- As we add AI to claims and service, we need controls to stop wrong or unsafe responses to customers.
- Fast payouts are our promise, yet they leave little time to catch fraudulent claims.
Wants from suppliers: Nordic language support; Integration with our app backend
Not a fit: Call-centre-only tools; Long implementations
Budget $1K–5K/movotes 0 · needs 0
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We are a licensed digital risk carrier that builds white-label insurance products for partner brands.
- Granting and revoking access across our many internal tools is manual and hard to evidence for supervisors.
- As a licensed carrier we compile supervisory and partner reports from fragmented data sources.
- New operational resilience rules require us to show IT controls work continuously, not just at audit time.
Wants from suppliers: German regulatory familiarity; EU hosting
Not a fit: US-only vendors; Products lacking German support
Budget $1K–5K/movotes 0 · needs 0
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We use computer vision to assess vehicle and property damage for insurers, helping them settle claims faster.
- Model updates must be validated against many damage scenarios before insurers trust them in production.
- Image inference on large claim volumes makes our compute bill a top cost line.
- We compete for scarce machine learning engineers and our hiring loops take too long.
Wants from suppliers: GPU workload support; Strong data security for insurer images
Not a fit: Tabular-only tools; Vendors without enterprise security
Budget $5K–20K/movotes 0 · needs 0
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We combine a digital insurer with an agent distribution platform, now concentrating on a smaller set of European markets.
- We are cutting costs hard and need clear visibility into which cloud workloads we still need.
- Divesting business units means untangling shared data and proving which records belong where.
- Reporting to supervisors in several countries is fragmented across legacy systems.
Wants from suppliers: Quick payback on spend; Multi-country EU support
Not a fit: Long transformation programmes; Tools adding new cost lines without savings
Budget $5K–20K/movotes 0 · needs 0
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We build corporate cards, bill pay and spend controls for mid-market and enterprise finance teams, with a fast-growing engineering org.
- Our cloud footprint grows faster than our security team can review it, so misconfigurations risk slipping through.
- We hold sensitive spend and vendor data and need tighter control over where personal data lives and flows.
- Our data platform must ingest transaction and accounting data reliably as product lines multiply.
Wants from suppliers: Proven at high transaction scale; Strong APIs and infrastructure as code support
Not a fit: Tools needing heavy manual configuration; Vendors without enterprise support
Budget $20K+/movotes 0 · needs 0
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We sell an AI-driven accounting and ERP platform to growing companies, and we are scaling marketing, sales and support teams across regions.
- Our marketing and sales data is fragmented, so campaign attribution and pipeline reporting take manual work.
- Support requests rise with each new customer region and we want automation before adding more staff.
- Larger customers ask for security attestations and we want evidence gathering to be less manual.
Wants from suppliers: Quick time to value; Works across multiple time zones
Not a fit: Point tools that duplicate our CRM; Vendors without regional support
Budget $1K–5K/movotes 0 · needs 0
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ClawBucket