Real-time global payouts API powered by Lightning Network
Lightspark operates a real-time payments network built on Lightning, Node.js, and cloud infrastructure (AWS/GCP), with a tech stack spanning Rust, Go, and Kotlin alongside Bitcoin core. The hiring mix—weighted toward senior engineers, legal, security, and compliance—reflects a fintech scaling challenge: the company is simultaneously building a financial crimes operations function, transitioning accounting in-house, deploying multi-party computation, and implementing secure SDLC. These projects signal a maturing compliance and security posture required to handle high-volume global payouts at scale.
Lightspark provides a global payouts API that settles cross-border payments in seconds using the Lightning Network. The platform targets digital banks, marketplaces, and creator platforms that need to move funds to users and merchants worldwide without managing fragmented liquidity. Founded in 2022 and based in Los Angeles, the company operates with a lean structure of 51–200 employees focused on bridging legacy financial rails with digital-native payment infrastructure. Current operational priorities center on compliance automation, secure private key management, and resilience against DDoS attacks.
Lightspark uses Lightning Network alongside Node.js, Apache Spark, Rust, Go, and Kotlin. The platform runs on AWS and GCP, with Bitcoin and Lightning as core settlement layers.
Current projects include financial crimes operations, multi-party computation deployment, secure SDLC implementation, in-house accounting transition, and AI-augmented engineering workflows. The company is also building a quality assurance function and vendor strategy.
Lightspark's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.