90% improvement in data recovery time
30%-50% reduction in cloud backup storage and infrastructure costs
Enables querying across petabytes of historical data
Customers achieve full compliance with autonomous cloud backup posture management
Eon transforms static backup archives into instantly queryable data lakes and, on Google Cloud, integrates with Gemini, Vertex AI, and BigQuery for natural-language search and analytics.
Eon transforms static backup archives into instantly queryable data lakes and, on Google Cloud, integrates with Gemini, Vertex AI, and BigQuery for natural-language search and analytics.
Implementing powerful AI services to bring backup data to life
For most organizations, cloud backups are essential for security and compliance. However, accessing the data trapped in these archives can be a challenge. Retrieving specific files typically requires restoring an entire volume or server, which can take weeks, consume immense resources, and lead to lengthy delays. These obstacles often leave businesses’ historical data sitting unused in storage, with all its valuable insights left unexploited.
These challenges are what Eon set out to solve with its Cloud Backup Posture Management platform (CBPM). Co-founded by CTO Ron Kimchi, Eon aims to redefine data resilience by turning static backup archives into dynamic data lakes, ready for query, analytics, and artificial intelligence (AI).
Eon provides its own built-in indexing and search engine across clouds. In Google Cloud deployments, customers can optionally integrate Gemini and Vertex AI to add natural-language querying and vector search capabilities.
The ability to transform hundreds of petabytes of backup data into a live, searchable asset requires cutting-edge AI capabilities for instant indexing, retrieval, and natural language querying. These requirements led Eon to Google Cloud.
“We chose Google Cloud for its AI services,” explains Kimchi. “The results from Gemini were very strong and continue to improve with Gemini 3 Pro, allowing us to generate accurate vector embeddings for vector search with Vertex AI. Google Cloud has helped us solve the challenge of making customers’ backup data searchable.”
As a member of the Google for Startups Cloud Program, Eon also received extensive support and access to AI infrastructure. “As a startup, every week that you can save, and every collaboration you can have around technical know-how and go-to-market ventures, is extremely important,” says Kimchi. “By helping us move so fast in our early days, the Google for Startups Cloud Program has made a significant contribution to the rapid growth we are now seeing.”
We chose Google Cloud for its AI services. The results from Gemini were very strong and continue to improve with Gemini 3 Pro, allowing us to generate accurate vector embeddings for vector search with Vertex AI. Google Cloud has helped us solve the challenge of making customers’ backup data searchable.
Ron Kimchi
CTO and Co-founder, Eon
Making historical data searchable with Gemini and Vertex AI
Eon’s core innovation lies in transforming the backup files stored in Cloud Storage into a readable, analytics-ready format. This makes the backup data instantly queryable by tools such as BigQuery, eliminating the need to manually restore and transfer data.
As Eon backs up the data, it automatically indexes and embeds metadata into a vector store on Vertex AI.
The customer can ask a simple query and get an instant answer. Under the hood, we’ll search all the backups for relevant data, generate an SQL query using Gemini, and execute it as a BigQuery external query directly on the backup data stored in Cloud Storage. For customers, that looks like magic.
Ron Kimchi
CTO and Co-founder, Eon
This allows customers to search across petabytes of historical data asking natural language questions with Gemini, regardless of the original data source. Using the Agent Development Kit (ADK), Eon has built a customized agent to convert these natural language queries into complex SQL queries.
“The customer can ask a simple query and get an instant answer,” Kimchi explains. “Under the hood, we’ll search all the backups for relevant data, generate an SQL query using Gemini, and execute it in BigQuery as an external query directly on the backup data stored in Cloud Storage and other backup sources.. For customers, that looks like magic.”
The result is transformative, allowing businesses to instantly answer business queries, perform analytics, or respond to auditors’ requests by querying the backup in seconds, rather than waiting weeks for a full restoration.
For example, a media conglomerate could instantly cross-reference historical licensing data from different databases to confirm streaming rights, while a financial services company could immediately respond to an auditor’s request to see specific customer records.
In the event of data loss events, Eon’s ability to provide instant, granular access enables customers to find the precise data they need, improving data recovery time by up to 90%. What’s more, with its global deduplication algorithm optimized for cloud object storage, running on Cloud Storage, Eon reduces customers’ cloud backup infrastructure costs by at least 40%. With these cost savings, customers can put more resources toward analytics, classification, and recovery workflows powered by Eon’s platform. In Google Cloud environments, Eon also integrates with Gemini and Vertex AI for natural-language querying.
Solving new data recovery challenges to drive future growth
Eon is now focused on scaling up its capabilities to enable its customers to efficiently back up and restore even larger datasets, such as the hundreds of petabytes of data that customers routinely manage in BigQuery. Here, the problem of restoring data is magnified, with full restorations being immensely costly and time-consuming. The ability to instantly query these vast, historical datasets without the need for a full restoration is solving a data recovery challenge previously considered insurmountable for multi-petabyte services, significantly scaling up the time and cost savings for Eon’s enterprise customers.
What began as a platform designed for storage resilience has become an engine for business intelligence, providing compliance, security, and instant analytics simultaneously.
With Google Cloud, we were able to deploy the latest AI capabilities in a fast and seamless way. That allows enterprise businesses to use the power of AI across all their historical data, transforming static data into powerful insights to fuel future growth.
Ron Kimchi
CTO and Co-founder, Eon
“With Google Cloud we were able to deploy powerful AI capabilities in a fast and seamless way,” adds Kimchi. “That allows enterprise businesses to use the AI across all their historical data, transforming static files into powerful insights to fuel future growth.”
Eon is a cloud backup platform that turns static backups into live, queryable data assets, enabling faster recovery, stronger compliance, and lower storage costs.
Industry: Technology
Location: New York and Israel
Products: Google Cloud, Agent Development Kit (ADK), BigQuery, Cloud Storage, Gemini, Gemini 3 Pro, Vertex AI
