(Page 5) Database of Data & Analytics Companies
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| Organization | Country | Industry | Founded | Size | Actions | |
|---|---|---|---|---|---|---|
 Vitalize CareStreamlining Clinical Operations for Health Systems | 2022 | 11 - 50 employees | ||||
 ClarumInvestment Due Diligence & Research, Accelerated by AI. | 2023 | 1 - 5 employees | ||||
 1stCollabPerformance-Optimized Influencer Marketing | 2022 | 6 - 10 employees | ||||
 FeatherAI Employees for the Mortgage Industry | 2022 | 1 - 5 employees | ||||
 JuneJune is the new way to do product analytics | 2020 | 6 - 10 employees | ||||
 FinantierPlaid for Southeast Asia | 2020 | 11 - 50 employees | ||||
 RaycasterResearch agents for life sciences | 2024 | 1 - 5 employees | ||||
 OkayDashboards and actionable insights for high-performing engineering… | 2019 | 1 - 5 employees | ||||
 MitoCursor for data analysis | 2020 | 1 - 5 employees | ||||
 Persana AIAlternative to Clay | Intelligent sales agent with 75+ data sources | 2023 | 1 - 5 employees | ||||
 Superb AISuperb AI provides end-to-end computer vision MLOps platform | 2018 | 51 - 250 employees | ||||
 MagikPrototype, Experiment & Evaluate AI Pipelines in a Spreadsheet-like UI | 2022 | 1 - 5 employees | ||||
 ProvisionIronclad for construction | 2022 | 6 - 10 employees | ||||
 DatalandAI agents for customer support. | 2020 | 1 - 5 employees | ||||
 ScispotThe Best Data Infrastructure for Biotechs | 2020 | 11 - 50 employees | ||||
 GrowthBookOpen source feature flagging and A/B testing | 2020 | 11 - 50 employees | ||||
 GaiascopeSaaS that helps renewables & energy storage operate more profitably | 2019 | 6 - 10 employees | ||||
 BodyportPredicting and preventing heart disease. | 2015 | 11 - 50 employees | ||||
 IntentlyAI angel investor | 2023 | 1 - 5 employees | ||||
 Mach9 RoboticsThe Fastest Tool for Automating Geospatial Production | 2021 | 11 - 50 employees | ||||
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Frequently Asked Questions
What is the purpose of this database?
Our Companies Database is a user-friendly database to search, filter, and discover companies around the world by their industry, size, funding stage, and more.
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In normal instances, jobs older than 30 days are automatically flagged as 'expired' by the system.
In normal instances, jobs older than 30 days are automatically flagged as 'expired' by the system.
