Archil

About Archil

Archil, Inc. is a San Francisco-based software company developing a cloud file system that transforms existing cloud object storage into high-performance, POSIX-compatible local file systems. Founded in 2024 by Hunter Leath, the company aims to simplify data access and management for data-intensive applications. Leath, the company's CEO, previously spent nearly a decade at Amazon Web Services (AWS) where he was a leader for the Amazon Elastic File System product, and he also led Netflix's cloud storage team. The company, formerly known as Regatta Storage, participated in the Y Combinator Fall 2024 batch. Archil has secured significant funding to support its growth, raising $6.7 million in a seed round in June 2025, followed by a Series A round in April 2026 that brought total funding to $18 million. Investors include Felicis, Y Combinator, Standard Capital, Peak XV Partners, General Catalyst, and Wayfinder Ventures. The core of Archil's offering is a service that allows applications to instantly access large datasets stored in platforms like Amazon S3 without costly and time-consuming data movement. By creating a high-speed caching layer between servers and data sources, Archil's technology can deliver performance up to 30 times faster than accessing S3 directly, while reducing storage costs by as much as 90% compared to managing EBS disks. The system is fully POSIX-compatible, ensuring it works with existing applications and tools such as PyTorch and Spark without requiring code changes. It supports features like renames, appends, and locking, and allows simultaneous access from multiple instances, eliminating the need to partition large datasets. The platform is designed for security, with AES-256 encryption at rest and TLS 1.3 for data in transit, ensuring the customer's S3 bucket always remains the source of truth. Archil targets a clientele of data teams, AI companies, researchers, and analytics teams. It is particularly beneficial for tasks like AI model training, data analytics, genomics, and financial analysis, where rapid access to petabyte-scale datasets is critical. The company's business model involves providing this storage solution to simplify data management, reduce latency, and lower costs for organizations that rely on large-scale data processing and AI. Keywords: cloud file system, S3 transformation, high-performance storage, POSIX compatible, AI data management, data-intensive applications, cloud storage optimization, serverless storage, data analytics infrastructure, Hunter Leath, Y Combinator, Felicis, Amazon S3, local file system, data movement elimination, AI model training, genomics data, financial analysis storage, NVME SSDs, multi-instance mountable filesystem, cloud cost reduction, data latency, agentic applications, Regatta Storage, data connectivity, systems and information management, big data, cloudtech, devops