Akave, an enterprise cloud infrastructure company offering a modern S3-compatible distributed alternative to traditional cloud storage, announced its entry into the data storage market with the availability of Akave Cloud. Akave Cloud enables the adoption of AI by providing a data lake where organizations can freely move data between AI and analytics platforms without charge.
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Distributed systems increase scale and resiliency by distributing workloads across multiple nodes, but decentralization reduces dependence on a single controlling entity. This is an important distinction for companies implementing AI.
As infrastructure becomes more efficient, traditional cloud providers have become increasingly reliant on opaque pricing models and high data transfer costs, making it difficult for enterprises to predict spending as AI workloads grow. Akave replaces that model with transparent and predictable storage economics and built-in governance controls. By decoupling compute from storage, Akave gives organizations more control over where their data resides and how it moves between hyperscalers and emerging neoclouds purpose-built for HPC and AI. Akave provides a compute-agnostic storage layer that gives you the flexibility to control your budget, reduce lock-in, and get the most out of your next-generation AI infrastructure.
“Distributed systems increase scale and resiliency by spreading workloads across multiple nodes, but decentralization reduces dependence on a single controlling entity, which is an important characteristic for enterprises implementing AI,” said Stefaan Vervaet, founder and CEO of Akave. “The real challenge is maintaining control over where your data resides, how it moves, and how it’s managed across your environment. We built Akave Cloud to provide a portable, verifiable storage foundation that enables enterprises to run AI workloads with complete data ownership, auditability, and long-term flexibility.”
Running on its own proprietary Avalanche Layer 1 blockchain, Akave Cloud is designed to support enterprises running data-intensive AI and analytics workloads. The platform offers a predictable cost structure, enterprise-grade performance, and built-in compliance controls to help organizations manage large-scale data environments with greater operational efficiency and governance. Akave seamlessly integrates with leading cloud applications and open source communities such as Snowflake and Apache Iceberg to support enterprises running data-intensive AI and analytics workloads that require predictable costs, strong compliance, and high performance.
Founded in 2024 by a team of data storage, data management, and web 3 industry experts, Akave has raised over $6 million from major investors including Protocol Labs, No Limit Holdings, Blockchange, Lightshift, Blockchain Builders Fund, Big Brain Holdings, Avalanche Foundation, and Filecoin Foundation. Akave Cloud is already trusted by leading organizations such as Intuizi, LaserSETI, and 375ai, who use the platform to process consumer intelligence data for advertising insights, high-throughput stargazing data ingestion, and training AI models.
“Akave’s founding team brings a rare combination of data storage, enterprise, and Web3 expertise, and we are excited to help deliver sovereign, verifiable storage to enterprises running AI at scale,” said Jing Chao, general partner at No Limit Holdings.
Built for sovereign AI and analytics at scale
The main bottleneck for many companies and institutions is no longer model functionality, but control. Organizations must decide where their data resides, who has access to it, who holds the keys, how it will be audited, and how it will move between computing environments without introducing compliance risks or vendor lock-in. Akave Cloud is purpose-built to enable the deployment of sovereign AI, providing a portable and verifiable storage layer that allows organizations to run AI workloads across their environments while maintaining data ownership, auditability, and governance.
Akave Cloud provides:
- Flat rate of $14.99/TB per month, no egress charges (no S3 egress charges)
- On-chain verifiability for tamper-proof audit trails
- Programmable blockchain-based access control
- Sovereign data management without vendor lock-in
Akave Cloud includes a fully S3-compatible API, making it a drop-in replacement for your existing cloud storage. Built-in Snowflake and Apache Iceberg integration allows organizations to run analytics, SQL queries, and AI/ML workflows directly on distributed storage without redesigning pipelines. Akave Cloud also provides long-term archiving options for the Filecoin network as decentralized, verifiable storage, so data lakes, model artifacts, and analysis pipelines continue to function as-is, and immutable content IDs are tracked for all data objects.
“Portability and verifiability are fundamental when AI workflows span multiple computing environments,” said Matias Antonio, Chief Investment Officer at Avalanche Foundation. “The next generation of AI infrastructure will be defined by portability, transparency, and governance. Akave Cloud shows that with distributed storage built on purpose-built, high-performance Avalanche L1, enterprises can manage their data with greater sovereignty while supporting the scale and compliance requirements of modern AI workloads.”
customer momentum
Akave Cloud serves data-intensive customers such as:
- Intuigi Process large consumer intelligence datasets for martech and retail geospatial analysis.
- laser SETI Capture and store large-scale astronomical data with verifiable integrity for scientific research.
- 375ai Collect data from edge camera devices, manage extensive AI training datasets, and benefit from flat fees and zero egress fees.
- sky mapper stores observations from global telescopes and all-sky cameras in the Akave Cloud, making each frame tamper-proof and authenticated by cryptographic provenance.
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