LaserData, a startup developing hyper-efficient data streaming infrastructure for real-time applications, has secured seed investment to accelerate development of its platform designed for low-latency data workloads. The company is building enterprise streaming technology aimed at supporting modern AI systems, real-time applications, and large-scale distributed computing environments. The funding comes from Mango Capital, which identified LaserData as part of its seed portfolio.

Founded in 2025, LaserData is focused on creating a new generation of data infrastructure that enables faster and more efficient movement of information between systems. The company describes its platform as a hyper-efficient data streaming solution built for real-time systems, with a focus on sub-millisecond latency, resource efficiency, and simplified operations.

The investment provides LaserData with support as it continues developing its enterprise data streaming platform and expanding its technology foundation. The company plans to use its resources to advance product development, grow its engineering capabilities, and bring its infrastructure solutions to organizations building AI-powered and real-time applications.

LaserData was founded by Kranti Parisa and Piotr Gankiewicz, engineers with backgrounds in large-scale infrastructure, open-source software, and distributed systems. Parisa serves as co-founder and CEO, while Gankiewicz serves as co-founder and CTO. Their previous work includes the development of Apache Iggy, an open-source message streaming platform that serves as a foundation for LaserData’s technology.

The company’s core technology is built around Apache Iggy, a high-performance persistent message streaming platform written in Rust. LaserData positions its commercial offering as an enterprise layer built on top of Apache Iggy, providing managed deployment, networking, security, connectors, and observability features for organizations that need reliable streaming infrastructure without managing the underlying complexity themselves.

Mango Capital is the publicly identified investor supporting LaserData’s early growth. The venture firm listed LaserData as an active seed portfolio company in its Q3 2025 portfolio activity, highlighting the company’s position among emerging enterprise software startups focused on infrastructure technology.

LaserData is targeting a growing need for faster and more efficient data infrastructure as companies increasingly adopt artificial intelligence, machine learning, and real-time decision-making systems. Traditional data pipelines were often designed for batch processing or less demanding workloads, while newer AI applications require faster access to continuously generated information. LaserData aims to address these challenges with infrastructure optimized for speed and efficiency.

The company’s platform emphasizes several technical advantages, including Rust-based architecture, zero-copy deserialization, and modern hardware optimization approaches such as io_uring and thread-per-core execution. LaserData says these design choices allow its platform to deliver low-latency performance for demanding streaming workloads.

LaserData has also introduced LaserData Cloud, a managed service designed to make its streaming technology easier for companies to adopt. The service offers deployment options including fully managed environments, bring-your-own-cloud deployments, and on-premise infrastructure models. The company is positioning LaserData Cloud as a way for engineering teams to use advanced streaming infrastructure without taking on the operational burden of running complex systems themselves.

The company’s approach reflects broader changes in enterprise technology, where businesses are increasingly seeking infrastructure that can support AI agents, retrieval systems, real-time analytics, and other applications that depend on fast data availability. As organizations move toward more dynamic computing environments, demand is increasing for platforms capable of handling large volumes of information with predictable performance.

LaserData has built its technology around open-source principles, with Apache Iggy serving as the foundation of its ecosystem. The company emphasizes transparency, portability, and developer control as part of its strategy for attracting teams that want alternatives to traditional proprietary infrastructure systems.

The startup is also supported by experienced technology leaders and advisors, including Dave Rensin, a Google Distinguished Engineer and former entrepreneur with experience in distributed systems and cloud infrastructure. Rensin serves as an advisor and board member at LaserData, contributing expertise in reliability and large-scale technology operations.

With seed backing from Mango Capital, LaserData is continuing efforts to build infrastructure for the next generation of real-time applications. The company aims to provide developers and enterprises with faster, simpler, and more efficient data streaming technology designed to meet the demands of AI-driven systems and modern cloud environments.

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