Top Big Data Startups in 2026

New York City's largest born-and-bred tech startup, MLB Advanced Media (MLBAM) is a full service solutions provider delivering world-class digital experiences for more than 16 years and distributing content through all forms of interactive media. Its digital leadership and capabilities are a direct result of an appreciation for designing dynamic functionality for web, mobile applications, and connected devices while integrating live and on-demand multimedia, providing valuable products for millions of fans around the globe. MLBAM also develops, deploys and distributes the highest-grossing sports app, At Bat.

Data is precious, yet siloed, due to technological hurdles and privacy constraints. Synthesized's software uses AI to learn the structure of original data and simulate practically useful new data points, thus unleashing data's full potential whilst protecting people's privacy. The company is funded by leading technology investors in the UK and Europe and is supported by Facebook through the LDN_LAB programme and Google through the Residency programme.

A marketing agency built on the perfect union of marketers and engineers. Technology has transformed consumer lives A new breed of brands such as Google, Amazon, Netflix and Airbnb have captured consumers’ hearts & minds by disrupting the status quo across all sectors. These brands have defined higher standards of customer experience by continuously improving their products and services through digital media, data & AI. All brands must now live up to these new standards. Their strategic mediation and operational skills will allow you to take a fresh look at the project that you’ve entrusted us with.

We're a VC-backed company in stealth-mode building behavioural AI solutions for the retail industry. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience.

EgoVista is the egocentric data layer for robotics: GDPR-compliant, EU-built video datasets that turn everyday human tasks into training-ready data for robot learning. From capture to annotation to LeRobot/RLDS delivery, EgoVista helps robotics teams scale from demos to deployment. Register at egovista.app/signup and see more at our website.

Ennote was founded by cloud security architects with over a decade of experience designing secure, distributed infrastructure environments for global enterprises across AWS and GCP. Across every architecture a pervasive vulnerability continuously emerged: engineering teams, faced with the overwhelming operational overhead of legacy vaults or the manual friction of unencrypted configurations, frequently bypassed approved systems to drop raw environment files directly into Slack channels and CI/CD code pipelines. This trend is not an operational discipline problem; it represents a fundamental platform architecture failure. When legacy security tooling slows down shipping velocity, developers inevitably bypass it entirely. For too long, the industry has forced companies into a binary choice: bureaucracy or chaos. Legacy vaults are powerful but require dedicated DevSecOps teams to configure and maintain. Conversely, simpler developer-focused utilities are user-friendly but lack native, real-time infrastructure automation delivery. This trade-off becomes exceptionally critical in the modern AI era, where the explosive growth of automated workflows, LLM pipelines, and machine identities demands a unified approach to security. Ennote eliminates this friction entirely. By seamlessly uniting human collaboration with Kubernetes-native machine automation, the platform establishes a single standard for enterprise secret governance. It fuses an intuitive team password vault for human workflows with a push-based, outbound-only gRPC engine that streams credentials directly into container runtime states in less than one second. This unified ecosystem bridges the gap between organizational identity and machine infrastructure, protecting all credentials under a verifiable, client-side encrypted, post-quantum zero-persistence architecture.