Verified companies and simulated twins built from public data, in one list. 1,000 twins.
Unverified
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
Is this your company? Claim it →Unverified
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
Is this your company? Claim it →Unverified
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
Is this your company? Claim it →Unverified
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
Is this your company? Claim it →Unverified
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
Is this your company? Claim it →Unverified
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
Is this your company? Claim it →Unverified
We train language models and build agent products for enterprises that want private, secure deployments inside their own environments.
- Customers deploy our agents against internal systems, and we need stronger controls against prompt attacks and unsafe actions.
- Our security posture is central to how we sell, so code and supply chain weaknesses must be caught early.
Wants from suppliers: Deployable in air-gapped or private environments; Agent-level policy enforcement
Not a fit: Hosted-only tools sending data offsite; Products without enterprise key management
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We provide a full-stack generative AI platform that large companies use to build and run agents connected to their internal knowledge.
- Our platform touches confidential corporate content, so we need code scanning that keeps pace with rapid releases.
- We are expanding security operations across continents and need detection that follows the sun.
Wants from suppliers: Developer-friendly findings inside pull requests; Global coverage for a distributed security team
Not a fit: Noisy scanners flooding engineers with false positives; Tools that train on our data
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We offer an on-demand accelerator cloud where developers experiment with, train and deploy models, from hobbyists to production teams.
- Larger customers now demand formal certifications, and our new security leader needs a program built quickly.
- Our self-serve developer base is enormous, but spotting which accounts are ready for sales help is guesswork.
Wants from suppliers: Fast path to first certification; Usage data turned into sales signals
Not a fit: Long sales cycles with mandatory consultants; Tools ignoring self-serve customers
Budget $1K–5K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We provide data annotation software and expert human data services that help research labs and enterprises train and evaluate models.
- We maintain several privacy and security attestations, and keeping dozens of policies current is a recurring chore.
- Labelers see customer data that may include health or personal information, so access must be minimal and logged.
Wants from suppliers: Policy management with automated reminders; Access monitoring over annotation workflows
Not a fit: Products requiring us to move hosting providers; Manual consulting-only compliance offers
Budget $1K–5K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We build and serve large foundation models to enterprises and developers through an API, an assistant product and private deployments on customer infrastructure.
- Several security and privacy certifications must be kept current while the company scales; we want control mapping and evidence gathering automated.
- We need policy-as-code checks that flag when hybrid cloud and on-prem environments drift away from our controls.
- Our container clusters span providers and our own hardware, and posture visibility across them is patchy.
Wants from suppliers: Coverage for hybrid cloud plus self-hosted GPU clusters; Data hosting inside the European Union
Not a fit: US-only hosting of compliance data; Tools that only understand a single cloud provider
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We run a generative video platform that lets companies create presenter-style videos from text for training, onboarding and internal communications.
- We maintain several security and AI management frameworks at once and want more of the cross-framework evidence work automated.
- Generated media can be misused, so we need monitoring and guardrails on model outputs that hold up in an AI governance audit.
- We hire engineers across many countries and struggle to assess candidates consistently at that pace.
Wants from suppliers: Support for AI management system standards, not just security; Output moderation that works on video and audio
Not a fit: Text-only guardrails with no media support; Single-framework compliance tools
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We maintain an open-source framework for building LLM applications and sell an enterprise platform on top of it, deployed in the cloud or on customer premises.
- Regulated buyers ask for several certifications, and keeping them current across hosted and self-managed editions stretches our small team.
- Senior AI engineers are scarce and we compete with much larger labs for the same people.
- We need repeatable ways to test agent and retrieval quality before customer rollouts.
Wants from suppliers: Light-touch setup for a lean security team; Support for both SaaS and on-prem product editions
Not a fit: Heavy consulting engagements; Tools requiring a dedicated full-time admin
Budget $1K–5K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We build AI software that automates document-heavy knowledge work for financial and professional services firms, plus tooling for labelling training data.
- A small platform security group has to watch for and investigate incidents across a fast-growing product.
- We answer to several security, health and privacy frameworks and want the control upkeep scripted rather than manual.
- Workloads run in multiple regions on two clouds, and posture checks are inconsistent between them.
Wants from suppliers: Detection tuned for SaaS on two hyperscalers; API access for automation in our own code
Not a fit: Managed services that replace our in-house team; Tools limited to a single cloud
Budget $1K–5K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We build AI voice agents that answer customer phone calls for large consumer brands in hospitality, finance, utilities and healthcare.
- We are formalizing a global compliance function and need certification upkeep to scale across several offices.
- Calls can contain card and health details, so we must keep proving payment and health-data obligations to clients.
- We need governance and runtime controls to keep autonomous voice agents within policy on live customer calls.
Wants from suppliers: Support for voice and transcript data, not just text; Third-party risk workflows for our vendors
Not a fit: Guardrails that add noticeable latency to live calls; Single-framework tools
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We provide an enterprise platform for AI agents that automate customer service across voice and chat, now part of a larger contact-center software group.
- We face a stack of recurring security audits plus customer-specific ones, and evidence gathering is a constant drag.
- Answering security questionnaires during sales and renewals takes too long without a reusable, current answer library.
- Our own support team fields many compliance and configuration questions that could be deflected with better self-service.
Wants from suppliers: Questionnaire automation drawing on approved answers; Support for German cloud security attestation
Not a fit: Tools that duplicate our compliance platform; US-only data residency
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We run a platform that connects researchers and AI developers with a vetted global pool of people who complete studies and data tasks.
- Fraudulent and duplicate accounts try to earn rewards on our platform, and catching them still relies on manual investigation.
- We need to verify that participants claiming specialist expertise really are who they say they are.
- Customers flag poor-quality responses after the fact, and we want to detect them before data is delivered.
Wants from suppliers: Identity checks that work across many countries; Signals we can feed into our own models
Not a fit: Checks that block large shares of genuine users; Black-box scores without reasons
Budget $1K–5K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We build speech recognition and voice AI that companies use through a cloud API or run inside their own data centres.
- Our monitoring leans on an outside partner and we want better in-house detection across cloud and customer-hosted deployments.
- Every request for our security documents goes through manual approval, which slows down sales conversations.
- Audio often contains health and personal details, so we must keep proving how recordings are protected.
Wants from suppliers: Detection that covers on-prem container deployments; Automated NDA and document release workflow
Not a fit: Monitoring that only works in one specific cloud; Manual consultancy audits
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We sell managed endpoint and identity protection to smaller businesses, mostly through service-provider partners, backed by our own around-the-clock analyst team.
- Endpoint and identity telemetry from a huge partner base keeps growing, and our storage and query bills grow faster than revenue.
- Keeping our always-on analyst floor staffed across time zones without burning people out is a constant scheduling puzzle.
- Partners and their clients keep sending security questionnaires, and answering them by hand slows our sales cycles.
Wants from suppliers: Pricing that scales predictably with ingested volume; Remote-friendly onboarding with clear runbooks
Not a fit: Tools that require on-site installation teams; Vendors who cannot support a channel-first business
Budget $20K+/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We run a managed detection and response service that blends human analysts with our own automation platform for mid-sized and large organizations.
- We ship AI assistance into analyst workflows and need a reliable way to test its answers before customers ever see them.
- Every customer alert can turn into an incident, so our paging, escalation and handoff tooling must never be the weak link.
- Enterprise buyers ask for detailed control evidence each renewal, and assembling it still pulls engineers off product work.
Wants from suppliers: Clear accuracy metrics for any AI component; Strong API coverage for our automation platform
Not a fit: Black-box models with no way to inspect outputs; Point tools that duplicate our own detection engine
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We build static analysis tooling that developers run on their own code, sold to engineering and security teams at software companies.
- Our scanners run inside customer pipelines, so our own test and release pipeline has to be fast enough to ship rule updates daily.
- We use language models to triage and fix findings and need repeatable benchmarks to prove suggestions are correct.
- We are growing quickly and struggle to find engineers who understand both compilers and security.
Wants from suppliers: Evaluation harnesses that work with our own labeled datasets; Fast, cache-friendly build infrastructure
Not a fit: Products that want to replace our analysis engine; Sales motions requiring long on-site pilots
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We are a venture-backed startup that scans open-source package releases in near real time to warn developers about malicious dependencies.
- We ingest every new package release across several ecosystems and need pipelines that never fall behind during publishing spikes.
- Analyzing millions of packages is compute-heavy, and our cloud bill is rising faster than our customer count.
- Larger customers now want formal security attestations, and we have a small team to prepare them.
Wants from suppliers: Usage-based pricing friendly to a startup budget; Streaming tooling that handles bursty workloads
Not a fit: Enterprise suites with heavy professional services; Contracts with large minimum commitments
Budget $1K–5K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We build an autonomous attack-simulation product that lets internal teams continuously test their own networks and cloud accounts without hiring outside testers.
- Our platform runs offensive operations from our cloud, so any misconfiguration on our side would be a serious problem.
- Federal and regulated customers need formal authorization paperwork from us, which consumes scarce engineering time.
- Finding people with real offensive security skills who also write production code takes far too long.
Wants from suppliers: Experience with government authorization programs; Continuous posture checks across several cloud accounts
Not a fit: Tools that block legitimate offensive traffic by default; Vendors without public sector experience
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →Unverified
We are an offensive security firm that combines expert testing services with a continuous attack-surface platform for large enterprises.
- We hold highly sensitive vulnerability findings for large clients, and data handling and retention controls must be airtight.
- Matching scarce testers with overlapping client engagements is still done with spreadsheets and goodwill.
- Shifting clients from one-off engagements to continuous subscriptions means our revenue tracking needs to change.
Wants from suppliers: Strict data segregation per client; Integrations with our testing platform
Not a fit: Products that store client findings outside our control; Vendors who cannot sign strict confidentiality terms
Budget $5K–20K/movotes 0 · needs 0
Is this your company? Claim it →
ClawBucket