Companies in the data management sector developing innovative solutions and technologies.
Explore 735 recently funded data management companies with verified founder contact information and fundraising data.
Fortress is a platform that simplifies global data distribution for Postgres developers through cost-effective replication and sharding.
Helping millions of farmers worldwide in predicting insect pest populations before they destroy their crop yield
Verida features a data platform, wallet, and identity services to enable users to securely manage their personal data and credentials.
Maxim is an enterprise-grade AI stack that enables modern AI teams to create high-quality, reliable, and speedy products.
Tobiko Data is a data infrastructure company provides solutions for data development.
Stacklet is a cloud governance platform that helps companies manage security, operations, cost, and asset visibility in the cloud.
LogBook is a company that creates AI and machine learning platforms for logistics location profiling.
ActiveNav is the data privacy and governance software provider and innovator of DMaaS (Data Mapping as a Service.)
Automated onboarding that solves for identity, fraud, auth, and security.
MachinaLabs delivers an AI-driven platform for financial decision-making, analytics, screening, and algorithmic trading.
Symitri is the integrated privacy firewall and real-time data cleanroom for the open web.
Bridge Core is a technology company that provides IT and project management services.
SaaS platform for corporate ESG data management: from regulatory compliance and investor reporting to sustainability certifications
Self-improving LLM Applications: AI that optimizes LLM applications by tuning prompts and models
HappySignals develops an experience management platform that helps improve employee experience and productivity.
Gemini Sports Analytics develops a data management platform for sports management.
Gain control of your data with real-time observations, filtering, enrichment, and orchestration.
Lilac offers an end-to-end data and analytics platform for payers
Coalesce develops a data management software to automate data operations.
Cloud Cruise provides AI enabled software to automate repetitive tasks like data prospecting and data extraction
InQuery is an AI-native claims processing system that helps claims teams focus on helping claimants recover from catastrophe.
Glimmer provides way to search massive PDFs using AI.
Water data startup using AI, IoT, and big data to improve understanding and management of water in a sustainable way
Ayora is an AI-powered tool that assists professionals in optimizing revenue decisions and streamlining associated processes.
The data management sector is an active area of startup innovation and venture capital investment. Companies in this space are developing new technologies, platforms, and services that address evolving market needs and create new business opportunities.
Data Management companies raise capital across various funding stages, from early seed rounds to late-stage growth financing. Investor interest in this sector is driven by the size of the addressable market, the pace of technology adoption, and the potential for scalable business models.
The data management sector is expected to continue evolving as technology advances, market dynamics shift, and new opportunities emerge. Companies that demonstrate strong product-market fit, efficient growth, and clear competitive advantages are well-positioned to attract continued investment.
Here is how funding is distributed among the 735 data management companies tracked in the VCBacked database.
Companies in the data management sector often overlap with or complement businesses in adjacent industries. Exploring related verticals can help you discover additional companies, identify partnership opportunities, and understand the broader competitive landscape.
Perfect for: B2B sales teams targeting data management companies, investors exploring sector opportunities, and service providers looking for funded companies ready to scale.
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