Companies in the data management sector developing innovative solutions and technologies.
Explore 406 recently funded data management companies with verified founder contact information and fundraising data.
Troveo AI allows content creators to upload videos and secure revenue through licensing deals with firms interested in training AI models.
Intelibly is a SaaS healthtech company that offers a data platform to connect patients with trusted healthcare providers.
Sapien is engaged in aiding organizations in preparing data for AI training through a consumer game called 'Train2Earn.'
Packaging data management and analytics for a circular economy | Recyclability Analysis | EPR-Fee Analysis
Data Quality Co-Op changes the way first-party data purchasers and sellers perceive and handle quality.
Querio is a data infrastructure and analytics paltforrm.
Braintrust offers an AI stack to simplify the process from evaluations to data management, ensuring seamless integration into any business.
Harness the power of Generative AI to automatically process your datasets for AI, unlocking product quality and speed
Revefi is an AI data engineering company that uses generative AI and automation to help customers maximize ROI from data warehouse tools.
Siepe is a cloud-managed services and data analytics platform that specializes in portfolio and data management for asset managers.
FenixPyre is a SaaS based data security platform keeps files transparently and persistently encrypted at rest, in transit, and in use.
Fortress is a platform that simplifies global data distribution for Postgres developers through cost-effective replication and sharding.
Solving the interoperability, data management and data security challenges for Global Education EdTech partners, K12, and Higher Education.
Helping millions of farmers worldwide in predicting insect pest populations before they destroy their crop yield
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.
LogBook is a company that creates AI and machine learning platforms for logistics location profiling.
Symitri is the integrated privacy firewall and real-time data cleanroom for the open web.
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
Gemini Sports Analytics develops a data management platform for sports management.
Gain control of your data with real-time observations, filtering, enrichment, and orchestration.
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 406 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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