Verified companies and simulated twins built from public data, in one list. 1,000 twins.
Unverified
We provide therapy and psychiatric care through physical centres and online sessions, and are starting to build our first AI tooling for clinicians.
- We are starting to automate clinician admin with AI and need safe building blocks rather than a large in-house team.
- Therapy notes are among the most sensitive records we hold, and we need stronger proof of how access and retention are controlled.
Wants from suppliers: Strong data isolation for therapy records; Simple AI building blocks a small team can run
Not a fit: Tools that train on our patient data; Vendors without mental health experience
Budget $5K–20K/movotes 0 · needs 0
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We build a personal health record app for patients and record software for clinicians, connected to the national digital health exchange.
- Mapping our records to national exchange profiles and debugging rejected bundles takes far more engineering time than it should.
- When exchange webhooks or consent flows fail, we need faster alerting and on-call workflows before patients notice gaps.
Wants from suppliers: Validation against national interoperability profiles; Alerting on webhook and consent failures
Not a fit: Tools supporting only older messaging standards; Vendors with no local exchange knowledge
Budget $1K–5K/movotes 0 · needs 0
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We run a metabolic health programme that pairs continuous glucose sensors with remote coaches and machine learning recommendations for people with diabetes.
- Bringing new remote coaches up to speed on our protocols takes weeks, and quality varies by trainer.
- Glucose sensor streams, meal logs and coach notes land in different stores, which slows our modelling work.
Wants from suppliers: Coach onboarding content that tracks completion and quality; Connectors for wearable device data
Not a fit: Generic corporate learning catalogues; Data tools needing a large platform team
Budget $5K–20K/movotes 0 · needs 0
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We combine an app, clinics and home visits for primary and chronic care, in a market where shared patient records barely exist.
- Without a shared records backbone, we must keep our own clinic, home visit and app records consistent ourselves.
- A small engineering team ships patient and clinician apps often, and manual regression testing is now our release bottleneck.
Wants from suppliers: Records sync that works offline for home visits; Affordable test automation for mobile apps
Not a fit: Products built only around one foreign record standard; Expensive enterprise licences
Budget $1K–5K/movotes 0 · needs 0
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We are a small team selling an AI note-taking tool to general practices, specialists and some public hospital groups.
- Each new records system we connect to needs custom work, and keeping those connections stable eats our small engineering budget.
- Hospital buyers ask us to prove where patient data lives and who can see it, and our answers are assembled by hand.
- We expect larger hospital customers to demand a formal security certification soon, and we have no lean way to get one.
Wants from suppliers: Affordable for a startup team; Templates for hospital security questionnaires
Not a fit: Enterprise suites priced for large health systems; Products needing a long onboarding project
Budget under $1K/movotes 0 · needs 0
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We sell practice software to allied health and disability service providers, with add-on AI features for progress notes and intake paperwork.
- Government funding claims for disability and medical services are submitted in bulk, and rejected lines take hours to chase.
- Our support queue grows faster than our team as more practitioners join, and many questions repeat.
- We want referral forms and intake documents read and filed automatically instead of retyped by reception staff.
Wants from suppliers: Understanding of disability funding workflows; Quick integration through an open API
Not a fit: Tools without support for our local funding schemes; Vendors needing a year-long rollout
Budget $1K–5K/movotes 0 · needs 0
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We develop AI that reads medical images for radiologists and hold clearances in many markets, with a growing global team.
- Each new model version must be validated against many findings before release, and our evaluation runs are hard to reproduce.
- Keeping regulatory files current for each country we sell into is consuming our quality team.
- Training and serving large imaging models is our biggest cloud bill, and we lack clear cost attribution.
Wants from suppliers: Experience with medical device software rules; Handles very large imaging datasets
Not a fit: Generic tools unaware of medical device obligations; Vendors that cannot sign health data agreements
Budget $5K–20K/movotes 0 · needs 0
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We provide imaging AI and screening programme software to hospitals and public health programmes in a very wide range of countries.
- Our software runs at thousands of sites, and spotting and fixing outages at remote sites takes too long.
- Different national data rules apply wherever we deploy, and tracking them per site is manual.
Wants from suppliers: Works for both hosted and on-site installs; Affordable for emerging-market deployments
Not a fit: Tools that require always-on internet at every site; Region-locked offerings
Budget $5K–20K/movotes 0 · needs 0
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We provide a records and prescription app for independent doctors and small hospitals, working online and offline in many local languages.
- Linking records to our national digital health network means constant changes to standards-based interfaces.
- A new national data protection law means we must prove consent and access controls for patient data.
- Syncing records captured offline in clinics with weak connectivity causes conflicts we fix by hand.
Wants from suppliers: Works with low bandwidth clinics; Pricing suited to an emerging market
Not a fit: Tools priced only in high-cost markets; Products needing constant connectivity
Budget $5K–20K/movotes 0 · needs 0
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We build doctor-prescribed therapy apps that are regulated as medical devices and covered by public insurance in our home market.
- Medical device rules need design and test records for every release, and assembling them slows our product teams.
- Each app update needs documented verification, and too much of our testing is still manual.
Wants from suppliers: Familiarity with medical device software rules; Support in our local language
Not a fit: Tools with no audit trail; Vendors unwilling to support regulated validation
Budget $1K–5K/movotes 0 · needs 0
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We provide a hosted records and practice platform for clinics, virtual care providers and government health services, with an open API and partner marketplace.
- We maintain several separate certifications, and collecting evidence for each audit duplicates effort.
- Third parties build on our open interfaces, so we need ongoing testing of our APIs for weaknesses.
Wants from suppliers: One evidence set reusable across certifications; API security testing in our pipeline
Not a fit: Tools that only cover a single standard; Vendors without health sector clients
Budget $1K–5K/movotes 0 · needs 0
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We run a digital wealth manager offering automated portfolios to retail investors across several regional markets, with licensed entities in each.
- Each market we operate in has its own regulator, and our compliance team assembles filings separately for every jurisdiction.
- Business teams wait on ad hoc queries; we need governed dashboards that leadership trusts for portfolio and growth decisions.
- New client onboarding still needs manual review steps that slow account opening during marketing pushes.
Wants from suppliers: Multi-jurisdiction support for regional financial regulators; Clear audit trail exportable for regulator inspections
Not a fit: Tools built only for a single national regulator; Vendors without data residency options in our region
Budget $5K–20K/movotes 0 · needs 0
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We are a fast-growing investing and cash management app with teams spread across several regional hubs and autonomous product squads.
- Our anti-money-laundering reviews are handled by a growing operations team; alert volumes grow faster than we can hire.
- Releases across several country apps need regression coverage that our small quality team cannot run by hand.
- Closing books across multiple regional entities takes too long and relies on spreadsheets passed between finance staff.
Wants from suppliers: Screening workflows that cut false positives for retail investors; Mobile test automation that fits squad-based delivery
Not a fit: Enterprise suites needing year-long rollouts; Point tools covering only one country
Budget $5K–20K/movotes 0 · needs 0
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We are a large retail investing and trading platform serving first-time investors at mass scale, recently listed and expanding product lines.
- Order processing must stay reliable at market open peaks, and finding the slow hop across many services takes too long.
- Trade support queries surge on volatile days, and our agents answer repetitive questions that automation could resolve.
- As a listed firm, we need continuous evidence that controls hold, not only point-in-time checks before reviews.
Wants from suppliers: Proven performance at very high event volumes; On-premises or in-region hosting options
Not a fit: Startups unable to handle our traffic peaks; Tools priced per end customer
Budget $20K+/movotes 0 · needs 0
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We give retail investors in a small market simple access to overseas shares through a lean app and an in-house support team.
- Identity checks occasionally fail for valid customers, and our support team handles the manual fallback reviews.
- We verify withdrawal destinations manually to stop money leaving to the wrong account, which delays honest customers.
Wants from suppliers: Verification flows tuned for international documents; Withdrawal risk checks with minimal customer friction
Not a fit: Platforms with large minimum volume commitments; Solutions built only for card payments
Budget under $1K/movotes 0 · needs 0
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We are a large listed retail broking and investing firm with mobile, desktop and programmatic trading channels serving a mass client base.
- Developer API access for algorithmic traders needs tighter key management and session controls than our retail apps.
- Support volumes across app, desktop and API users overwhelm human agents during market events.
- Client data spreads across many products, and we struggle to show who owns each dataset and its lineage.
Wants from suppliers: Scale references with very large retail user bases; Deployment inside our own cloud accounts
Not a fit: Tools without API-first design; Vendors unable to pass bank-grade security review
Budget $20K+/movotes 0 · needs 0
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ClawBucket