Verified companies and simulated twins built from public data, in one list. 1,000 twins.
Unverified
We provide a spreadsheet-style analytics and reporting application that runs directly on customers' cloud warehouses, sold to large enterprises.
- Sensitive data spreads across our SaaS tools and laptops and we lack automatic discovery and leak prevention.
- Our telemetry volume is climbing and we want better metrics and logs without runaway ingest bills.
Wants from suppliers: Data classification that covers SaaS apps and endpoints; Open telemetry standards support
Not a fit: Black-box tools we cannot automate; Agents that degrade query performance
Budget $5K–20K/movotes 0 · needs 0
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We develop an open-source analytical database and sell a managed cloud version across several hyperscalers and regions.
- Our security team is growing quickly and needs detection and response automation that scales with our cloud fleet.
- Running a managed service on several clouds makes per-tenant cost hard to see and harder to reduce.
Wants from suppliers: Detection content tuned for multi-cloud SaaS; Cost attribution down to tenant level
Not a fit: Single-cloud monitoring products; Tools that cannot handle our telemetry volume
Budget $5K–20K/movotes 0 · needs 0
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We build a distributed relational database offered as software and as a managed cloud service to companies needing resilient transactions.
- Staff are adopting AI assistants and agent connectors faster than we can set policies for what data they touch.
- Sensitive data leaks into SaaS tools and we need stronger loss prevention across them.
- Payment and health-sector customers ask for control evidence that we compile manually from many systems.
Wants from suppliers: Policy enforcement for AI tools and agent connections; Works with our own language model gateway
Not a fit: Blanket blocking of AI tools; Products that require routing all traffic through their cloud
Budget $5K–20K/movotes 0 · needs 0
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We run a managed relational database service for engineering teams, operated by a small group of database specialists.
- Manual chores around on-call, onboarding and support triage slow our small team down and we want agents to handle them.
- Technical support questions about queries and schema changes take senior engineers away from product work.
Wants from suppliers: Integrates with our chat and paging tools; Lets us bring our own model provider
Not a fit: Heavy platforms needing a dedicated admin; Generic support bots lacking database depth
Budget $1K–5K/movotes 0 · needs 0
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We provide an open-source backend platform built on a relational database, used by a very large number of developers and startups.
- Our cloud bill grows with a huge free and paid user base and we need cost tied back to features.
- Thousands of tenant workloads on containers make misconfiguration risk hard to watch continuously.
- We hold several certifications and want evidence for each refreshed automatically.
Wants from suppliers: Cost data joined to product usage; Container and cluster aware security checks
Not a fit: Tools that only report without automated fixes; Per-resource pricing at our scale
Budget $5K–20K/movotes 0 · needs 0
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We sell a federated query and lakehouse platform that lets large enterprises analyze data where it already lives.
- One security engineer owns product security for all our code, so scanning and triage must be heavily automated.
- Our natural-language data assistant must give grounded answers and we lack a systematic way to measure that.
Wants from suppliers: Automation that works for a one-person security function; Evaluation tooling for retrieval-grounded agents
Not a fit: Tools needing a large security team to operate; SaaS-only products our on-prem edition cannot use
Budget $5K–20K/movotes 0 · needs 0
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We offer a managed relational database platform extended for time-series, analytical and agent workloads, used by developers worldwide.
- Evidence gathering and access reviews for our attestation are manual chores for a tiny security team.
- Permissions across cloud accounts, pipelines and internal tools drift and we review them by spreadsheet.
- We are adding language model features and need controls before they touch customer databases.
Wants from suppliers: Automated access review campaigns; Fits a small remote security team
Not a fit: Heavy suites priced for large enterprises; Tools without cloud account integrations
Budget $1K–5K/movotes 0 · needs 0
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We sell a widely used document database and its managed cloud service to companies and government agencies worldwide.
- Government cloud authorizations force strict identity rules that differ from our commercial service.
- Assessing hundreds of suppliers against several frameworks creates a mountain of documents to track.
Wants from suppliers: Third-party risk workflows mapped to many frameworks; Supports government-authorized environments
Not a fit: Vendors who cannot answer our own security review; Tools lacking government cloud options
Budget $20K+/movotes 0 · needs 0
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We develop an open-source vector database and a managed cloud for it, used by developers building search and generative AI applications.
- We launched a trust portal to speed up reviews, but keeping attestations and documents current still takes manual effort.
- Customers build AI apps on our service and want assurances about data handling and explainability for their models.
- Our managed cloud produces a lot of telemetry, and observability costs rise faster than customer usage.
Wants from suppliers: Supports open-source and cloud editions alike; Fast security questionnaire turnaround
Not a fit: Tools requiring long professional-services projects; Pricing per seat across a large community
Budget $1K–5K/movotes 0 · needs 0
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We make an open-source vector search engine with a managed cloud offering, used by teams building retrieval and recommendation features.
- We are bringing compliance in-house after relying on outside advisers, and need to run our security attestations ourselves.
- Customers in health and regulated sectors ask us to prove privacy controls for their data in our cloud.
- Our cloud runs in many regions, and we lack a single view of misconfigurations across them.
Wants from suppliers: Automation that a small security team can own; Coverage for privacy and security frameworks together
Not a fit: Enterprise suites built for large security departments; Advisory-only services
Budget $1K–5K/movotes 0 · needs 0
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We maintain a widely used open-source Python library for loading data and are building a hosted workspace for running pipelines on top of it.
- We are building a hosted runtime for pipelines and need dependable infrastructure for running customer jobs.
- Our community grows faster than our docs and courses, so users struggle to learn advanced patterns.
- Moving from library to hosted service means buyers will soon ask us for security attestations.
Wants from suppliers: Startup-friendly pricing; Self-serve setup
Not a fit: Enterprise-only contracts; Tools that require a sales call to try
Budget under $1K/movotes 0 · needs 0
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We develop an open-source in-memory graph database for real-time analytics and AI retrieval, with a fully remote engineering team.
- Changes to our database internals need extensive regression and performance testing, which is slow to run today.
- Long native builds slow down our remote engineers working across time zones.
- Customers use our graph for AI retrieval and want controls on what data language models can reach.
Wants from suppliers: Fast native build caching; Remote-friendly tooling
Not a fit: On-prem-only build infrastructure
Budget $1K–5K/movotes 0 · needs 0
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We offer data quality testing and monitoring, with an open-source core and a cloud product used by analytics and engineering teams.
- Our cloud service runs many monitoring checks for customers, and keeping backend performance high without overspending is hard.
- Our small growth team juggles many operational tasks that could be automated.
- Customers connecting production data to our service expect current security attestations.
Wants from suppliers: Remote-friendly tools; Fast onboarding
Not a fit: Heavy enterprise suites
Budget $1K–5K/movotes 0 · needs 0
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We run a self-service data operations platform that bundles integration, storage, transformation and automation for business data teams.
- Our platform runs on several clouds, and we need better ongoing checks of security configuration across them.
- We sell in several regions and need sharper visibility from field marketing through to closed deals.
- Customer success managers handle many repeated questions that slow down onboarding.
Wants from suppliers: Multi-cloud coverage; Remote-first friendly
Not a fit: Single-cloud-only scanners
Budget $1K–5K/movotes 0 · needs 0
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We build an open-source business intelligence tool that lets analytics engineers define metrics as code and share dashboards across their company.
- We are building our first go-to-market team and need tooling that connects product usage to sales follow-up.
- Our small operations team wants to automate routine admin so people can focus on customers.
- Larger customers will not connect their warehouse until we provide a current security attestation.
Wants from suppliers: Self-serve and quick to try; Startup pricing
Not a fit: Long annual enterprise contracts
Budget under $1K/movotes 0 · needs 0
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We are a large enterprise software vendor whose platform analyses business process data from customers' operational systems.
- We maintain many security attestations globally, and gathering evidence across departments is still heavily manual.
- Protecting enterprise systems and devices across many offices strains our internal security engineering team.
- Our platform handles sensitive customer data, and we need security checks earlier in product development.
Wants from suppliers: Global scale and support; Integrates with existing GRC workflows
Not a fit: Startups without enterprise support
Budget $20K+/movotes 0 · needs 0
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We are an established data governance and catalog vendor serving large enterprises, now extending into governance of AI use cases.
- Enterprise buyers expect us to prove our controls stay effective between audits, not just at renewal.
- We are strengthening security operations to protect our cloud platform and customer data.
- As we build AI governance features, we need guardrails around how models use customer data.
Wants from suppliers: Enterprise-grade support; Continuous control evidence
Not a fit: Point tools without enterprise SSO
Budget $20K+/movotes 0 · needs 0
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We sell a managed platform for running distributed training and inference jobs, built around a popular open-source compute framework and deployed into customer cloud accounts.
- Enterprise buyers keep asking for fresh attestations, and our small compliance function still gathers proof manually across many cloud accounts.
- Our control plane reaches into customer-owned cloud accounts, so misconfigured roles or networks become our problem fast.
Wants from suppliers: Coverage across several hyperscalers from one console; Evidence mapped to common enterprise questionnaires
Not a fit: Agents that need broad write permissions in production; Pure endpoint antivirus suites
Budget $5K–20K/movotes 0 · needs 0
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We operate a hosted inference service that lets product teams deploy and serve machine learning models in production with low latency and predictable uptime.
- Usage-metered compute billing has outgrown our spreadsheets; we need cleaner invoicing and revenue schedules as contract sizes climb.
- Customers send sensitive prompts through our serving layer, so we need faster detection when something odd touches that traffic.
- Health-sector clients expect us to prove protected data handling on every deployment, not only at audit time.
Wants from suppliers: Native handling of per-second usage metering; Fast onboarding without a long services engagement
Not a fit: Seat-based tools that ignore consumption pricing; Vendors needing prompt payload access
Budget $5K–20K/movotes 0 · needs 0
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We run a serverless compute platform where developers launch containerized GPU and CPU jobs from code, sharing hardware across many tenants.
- Untrusted customer code runs side by side on shared hardware, so isolation gaps in our cloud footprint worry us constantly.
- Self-serve signups and enterprise deals land in separate systems, and our pipeline reporting is stitched together by hand.
Wants from suppliers: Product-led growth signals merged with sales pipeline; Isolation findings prioritized by real exploitability
Not a fit: Heavy consulting-led rollouts; Tools priced only for very large enterprises
Budget $1K–5K/movotes 0 · needs 0
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We build tracing and evaluation software that helps teams understand how their AI agents behave in production and improve them.
- We are building our first real finance function, and closing the books still depends on manual exports and spreadsheets.
- Our largest accounts run the product themselves, and support engineers across time zones need better ticket routing.
Wants from suppliers: Quick setup for a first finance hire; Integrations with common accounting ledgers
Not a fit: Heavy ERP rollouts meant for large enterprises; Outsourced support desks
Budget $1K–5K/movotes 0 · needs 0
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We create training data, benchmarks and evaluation sets for frontier model builders and large enterprises, often handling their confidential material.
- Customers send long security questionnaires, and collecting technical proof for each one pulls engineers off delivery.
- We move confidential customer data between experts and pipelines and must show strict access controls throughout.
- Our evaluation work for clients needs repeatable scoring infrastructure rather than bespoke scripts per project.
Wants from suppliers: Questionnaire answers drawn from live control data; Strong segregation of customer datasets
Not a fit: Generic policy templates without automation; Tools lacking audit trails
Budget $5K–20K/movotes 0 · needs 0
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We offer speech recognition and audio understanding models through an API, processing large volumes of recorded and live audio for developers.
- We handle huge amounts of customer audio, and our compact team needs better detection before a breach rather than after.
- Recorded calls often contain personal details, and we need tight retention and deletion proof for customers.
Wants from suppliers: Automation that lets a small security group cover a lot; Retention policies enforced in code
Not a fit: Managed services requiring a large internal team; Tools without API-first design
Budget $1K–5K/movotes 0 · needs 0
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We supply training data, evaluation and applied AI services to model developers, large companies and government customers through a large expert workforce.
- Our government deployments still rely on manual, inconsistent releases, and we need unified automated pipelines.
- Compliance checks for client projects happen late, so we want risks flagged and tracked from project kickoff.
- Thousands of contributors and staff need tightly scoped access to client data that changes project by project.
Wants from suppliers: Accreditation-friendly deployment for public sector; Workflow tracking compliance per project
Not a fit: Consumer-grade tools lacking audit logs; Vendors unable to pass government security reviews
Budget $20K+/movotes 0 · needs 0
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ClawBucket