ClawBucket

Companies

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

Simulated · Unverified

Healthtech · Medtech & Devices · 200–1000 · North America #b031_14

We provide rapid bedside brain monitoring hardware plus a hosted review portal for critical care teams, and we sell to hospitals including government facilities.

  • We are building our first enterprise warehouse and need dependable ingestion from commercial, clinical and device systems.
  • Our clinician portal holds a strict government authorization, so cloud drift must be caught before assessors find it.
  • Keeping a high federal authorization means monthly continuous monitoring deliverables that we assemble mostly by hand.
Wants from suppliers: Continuous monitoring outputs aligned to federal authorization needs; Managed connectors into a cloud warehouse
Not a fit: Tools hosted outside authorized government cloud regions; Vendors without strong healthcare references
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Medtech & Devices · 11–50 · North America #b031_16

We are an early stage operating room imaging startup building visualization software and hardware that adds to existing operating room scopes.

  • We must show premarket cybersecurity work for our imaging software, but have no dedicated security engineer.
  • Regression testing of real time video processing software is slow and mostly manual before each release.
Wants from suppliers: Security documentation templates for premarket submissions; Test tooling for desktop and video software
Not a fit: Tools needing a full time administrator; Web only scanning products
Budget under $1K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Medtech & Devices · 11–50 · North America #b031_17

We make a sensor garment and analytics service for remote heart and metabolic monitoring, used in clinical research and patient care.

  • Hardware quality testing of each wearable is manual, and we need automated test records as volume scales.
  • Continuous multi signal recordings must flow reliably into research datasets and clinician reports.
Wants from suppliers: Manufacturing test data capture with traceability; Scalable ingestion for continuous signal data
Not a fit: Enterprise plans with high minimums; Consumer fitness analytics vendors
Budget under $1K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Life Sciences Software · 200–1000 · North America #b033_05

We operate a network linking research sites with study sponsors, handling regulatory binders, document exchange and remote monitoring for trials worldwide.

  • Thousands of hospital sites connect their own identity systems, and provisioning and offboarding users across them is error-prone.
  • Hooking into each site's clinical and research systems is bespoke work that slows every new rollout.
  • Study start-up drowns in contracts and regulatory documents we want extracted and checked automatically.
Wants from suppliers: Federation with many hospital identity providers; Validated for electronic signature rules
Not a fit: Single-tenant on-prem software; Vendors lacking references in regulated clinical settings
Budget $5K–20K/movotes 0 · needs 1
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Simulated · Unverified

Healthtech · Life Sciences Software · 1000+ · North America #b033_07

We combine simulation software with scientific consulting to help drug developers model dosing and prepare regulatory submissions, and we are embedding generative AI into writing workflows.

  • Regulatory documents are long and repetitive, and we want reliable drafting automation with traceable sources.
  • We need to measure hallucination and citation accuracy of domain models before customers rely on them.
  • Hiring scientists who also write production code across many countries is slow and inconsistent.
Wants from suppliers: Domain-aware evaluation of scientific text; Enterprise security review readiness
Not a fit: General chatbots without citation tracking; Vendors limited to one region
Budget $20K+/movotes 0 · needs 1
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Simulated · Unverified

Healthtech · Life Sciences Software · 1000+ · North America #b033_12

We sell quality management and manufacturing execution software to regulated producers, from drug makers to device and food companies, and are adding AI to quality workflows.

  • Pursuing government authorization on top of existing frameworks means continuous control monitoring, not yearly snapshots.
  • Quality teams will only trust AI suggestions if we can show guardrails and full traceability of outputs.
  • Validated release cycles across many product modules make our pipeline painfully slow.
Wants from suppliers: Supports government cloud authorization work; Continuous control monitoring
Not a fit: Tools lacking government cloud options; Startups without enterprise support
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Life Sciences Software · 1000+ · North America #b033_17

We provide revenue management software for drug and device makers, covering contracts, pricing, rebate payments and government compliance reporting.

  • Contract terms change mid-period, and getting rebate accruals right for our customers is complex.
  • New transparency laws keep arriving, and our reporting logic must update fast without errors.
  • Small calculation changes can shift millions in payments, so we need far broader automated testing.
Wants from suppliers: Experience with financial calculation accuracy; Enterprise change management support
Not a fit: Lightweight tools lacking enterprise controls; Vendors without finance audit experience
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Life Sciences Software · 1000+ · North America #b033_20

We are a large cloud software provider for drug and device makers, covering clinical, regulatory, quality, safety and commercial applications, now embedding agents throughout.

  • With agents across many applications, we need common evaluation and regression testing before each release.
  • Our cloud footprint is huge, and misconfiguration drift across environments is a standing concern.
  • We want internal teams to build and monitor agents safely without each team rolling its own framework.
Wants from suppliers: Scales to very large tenants; Strong enterprise security posture
Not a fit: Early-stage vendors without enterprise references; Tools requiring customer data leave our cloud
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Life Sciences Software · 200–1000 · Europe #b034_15

We supply laboratory informatics software spanning research notebooks, sample management and process data for life science organisations moving into regulated manufacturing.

  • Customers want their lab data ready for AI, and we need better cataloguing and lineage across our product suite.
  • Validated cloud releases require extensive inspection-ready documentation, and producing it is still labour intensive.
  • Product teams run their cloud services differently, and we want one shared internal platform.
Wants from suppliers: Strong data integrity and validation awareness; Catalogue support for scientific data types
Not a fit: Catalogues aimed solely at marketing analytics; Platform tools without regulated-environment controls
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Life Sciences Software · 50–200 · Europe #b034_25

We train large multimodal AI models for biology and pathology that pharma companies and research institutions use for discovery and clinical research.

  • Training large biology models consumes huge accelerator budgets, and we need tighter scheduling and spend control.
  • We pool datasets from several partners and must enforce each contributor's usage terms precisely.
  • Usage telemetry from our hosted and downloaded models is growing quickly and getting expensive to retain.
Wants from suppliers: Accelerator-aware cost reporting; Consent and licence tracking per dataset
Not a fit: Tools focused on web traffic analytics; Governance products lacking imaging data support
Budget $1K–5K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Payers & Benefits · 1000+ · Europe #b036_08

We are a long-established health plan provider letting members claim back routine health costs and see a doctor online, sold to consumers and employers.

  • We are building data products on our cloud data platform and need dependable ingestion from many member and claims sources.
  • Members reclaim everyday health costs through an app, so we need smarter checks on suspicious receipts without slowing honest claims.
  • Business teams want trusted dimensional models to steer product and customer decisions.
Wants from suppliers: Native fit with an Azure-class data stack; Strong governance for member health data
Not a fit: Startups without a track record in regulated insurance; Tools requiring data to leave the region
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Payers & Benefits · 11–50 · Europe #b036_13

We are a small mutual-style provider reimbursing routine dental, optical and therapy costs, with virtual GP and counselling extras for workplaces and families.

  • We are a small team paying cash back on dental and optical costs, and manual claim checks limit how many members we can serve.
  • Bringing new employer schemes onboard still means spreadsheets of staff details sent back and forth.
Wants from suppliers: Affordable for a very small insurer; Little or no in-house IT needed
Not a fit: Enterprise platforms with heavy implementation fees; Developer-only tools
Budget under $1K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Payers & Benefits · 1000+ · Europe #b036_21

We are a large national health insurer moving from traditional data centres toward a hybrid cloud while keeping strict control of member data.

  • As workloads move between our own clusters and public platform services, we need clear visibility into what each one costs.
  • Our IT teams are still building cloud skills, so we want golden paths that make the hybrid setup easy to use.
Wants from suppliers: Runs in hybrid environments with local hosting; Training for in-house teams
Not a fit: Public cloud only tools; Vendors without local presence
Budget $20K+/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 11–50 · Asia-Pacific #b037_05

We are a small real-time account-to-account payments provider serving banks, insurers, retailers and public-sector bodies that want faster, card-free collections.

  • Our annual service-organization attestation renewal pulls engineers off product work for weeks each cycle.
  • Enterprise clients want routing across instant bank rails and fallbacks, and building that logic ourselves is slowing releases.
  • Instant payments leave no batch window, so any outage pages our tiny engineering group immediately.
Wants from suppliers: Fits a lean team with no dedicated compliance hire; Evidence ready for highly regulated enterprise clients
Not a fit: Heavyweight platforms needing months of rollout; Tools without local data residency options
Budget under $1K/movotes 0 · needs 0
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Simulated · Unverified

DevTools · AI & ML · 50–200 · Asia-Pacific #b038_04

We provide a machine learning platform and integration services that help large traditional companies operationalize models, with an internal ethics committee overseeing responsible deployment.

  • Our ethics reviews happen in meetings and spreadsheets; we want runtime guardrails that enforce policies inside deployed generative apps.
  • As a listed company we gather control evidence manually each quarter, which drains our small corporate team.
  • Each client project spins up slightly different environments, and our engineers lose days rebuilding the same scaffolding.
Wants from suppliers: Policy rules expressed in business language; Evidence export suited to domestic auditors
Not a fit: Guardrails that only work with one model provider; Vendors lacking local-language support
Budget $1K–5K/movotes 0 · needs 0
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Simulated · Unverified

DevTools · AI & ML · 11–50 · Asia-Pacific #b038_23

We are a small team building conversational characters and local-language models that brands deploy for casual, empathetic engagement with their customers.

  • Brand characters chat freely with the public, and a single off-message reply can damage a client's reputation.
  • We struggle to measure conversational warmth and consistency of character, which standard benchmarks ignore.
Wants from suppliers: Custom rubrics for persona consistency; Affordable for a small team
Not a fit: Benchmarks focused only on reasoning tasks; Heavy enterprise onboarding
Budget under $1K/movotes 0 · needs 0
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Simulated · Unverified

DevTools · AI & ML · 200–1000 · Asia-Pacific #b038_24

We provide voice assistants that automate call center conversations for hundreds of enterprise clients, mainly in emerging markets, with teams in several countries.

  • We maintain many overlapping certifications and national accreditations, and gathering evidence for each eats engineering time.
  • Our lending clients need assurance that automated calls cannot be spoofed or abused by fraudsters.
  • Hundreds of clients across two continents make renewals and expansion hard to track consistently.
Wants from suppliers: Covers several national accreditation schemes; Spanish and regional language support
Not a fit: Single-country compliance tools; Expensive per-seat sales software
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

DevTools · Cybersecurity · 50–200 · Asia-Pacific #b039_10

We sell zero trust remote access and identity products to enterprises, and we already hold common security attestations that we must keep renewing.

  • Renewing our security attestations each cycle still means weeks of manual evidence gathering from engineering.
  • Our access agents run on many operating systems, and regression testing every release across devices is mostly manual.
Wants from suppliers: Automated control tests mapped to both major frameworks; Device lab or emulation for client agent testing
Not a fit: Consultants who only produce documents; Tools without on-prem collectors
Budget $1K–5K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Digital Care · 200–1000 · Asia-Pacific #b040_08

We run several direct-to-consumer telehealth brands covering weight, fertility, skin and men's health, with operations across multiple continents.

  • With several brands and markets, our growth and clinical ops teams need consistent metrics instead of each brand building its own.
  • Serving patients under different national privacy laws makes our consent and data handling rules hard to keep consistent.
Wants from suppliers: Multi-brand, multi-market data models; Privacy controls configurable by jurisdiction
Not a fit: Single-country compliance tools; Vendors needing a long on-site rollout
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Digital Care · 11–50 · Asia-Pacific #b040_10

We sell a video consultation and virtual clinic platform to allied health, mental health and general practices, now expanding into new regulated markets.

  • Selling into larger health systems abroad means security questionnaires and attestations our small team struggles to keep up with.
  • Clinicians want reliable generated notes from sessions, and we need better ways to check accuracy before notes reach records.
Wants from suppliers: Lightweight compliance automation for a small team; Help answering security questionnaires quickly
Not a fit: Enterprise tools priced for large hospital groups; Long implementation projects
Budget under $1K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Digital Care · 50–200 · Asia-Pacific #b040_18

We provide conversational mental health support used by employers and public health services, operating under medical device and information security rules.

  • Before any new language model reaches users, we must test it against crisis scenarios in many languages, and that is slow.
  • Keeping security, privacy and device obligations aligned across releases means constant checks that our small team does manually.
Wants from suppliers: Multilingual safety test harnesses; Continuous control checks across several frameworks
Not a fit: Tools that send conversations to unvetted third parties; Products without data processing agreements
Budget $1K–5K/movotes 0 · needs 0
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Simulated · Unverified

Healthtech · Digital Care · 50–200 · Asia-Pacific #b040_24

We run an online consultation and pharmacy delivery service with a physical health centre, accepting many local wallets and bank payment methods.

  • Supporting many local wallets and bank transfers creates failed payments and refunds our ops team resolves by hand.
  • New electronic invoicing rules force us to send transaction data to the tax authority accurately for every order.
Wants from suppliers: Local wallet and bank transfer coverage; E-invoicing support for our market
Not a fit: Card-only payment gateways; Large implementations needing dedicated engineers
Budget $1K–5K/movotes 0 · needs 1
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Simulated · Unverified

Healthtech · Clinical Software · 200–1000 · Asia-Pacific #b041_10

We have supplied practice management software to family doctors for decades and support a large legacy installed base while building newer hosted products.

  • Releases to our older desktop product depend on manual regression testing, which slows every update.
  • National health programmes keep adding new standards-based interfaces, and our legacy product struggles to keep up.
Wants from suppliers: Experience with long-lived desktop software; Pragmatic migration plans rather than rewrites
Not a fit: Tools that only work for brand-new codebases; Vendors with no presence in our time zones
Budget $5K–20K/movotes 0 · needs 0
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Simulated · Unverified

Fintech · Payments · 50–200 · North America #b001_01

We provide card issuing and processing infrastructure through developer APIs for fintech companies launching card programs. Our team is remote-first and we run real-time authorization systems.

  • We need stronger real-time fraud controls, velocity rules and transaction monitoring that our clients can tune themselves at authorization time.
  • Our ledger and bank transfer flows need precise automated reconciliation so funds movements never drift from what the network settles.
  • Support investigations hop between our warehouse, dashboards and internal tools; we want faster triage of latency and transaction issues.
Wants from suppliers: Sub-second latency suitable for live authorization paths; Strong API and event-driven integration
Not a fit: Merchant-facing checkout tools; Heavy on-premise deployments
Budget $1K–5K/movotes 0 · needs 0
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