Bigeye is the AI Trust Platform for the enterprise. It traces the data AI agents actually touch and connects it with critical context, including classification, lineage, quality, and ownership. So companies can understand whether their AI is operating on trusted, appropriately governed data. Building on deep expertise mapping and monitoring data across the enterprise, Bigeye gives organizations visibility into what each agent accesses and automatically enforces policy to keep agents within approved data boundaries.
Bigeye works across the broadest range of modern and legacy systems and serves some of the world's largest enterprises. Every day, it monitors 3 million customer datasets, maps 100 million lineage connections, and scans 3 trillion rows of data.
Highlights
Effective AI Monitoring and Tracing - Most of the AI running inside your business was never approved, tracked, or budgeted. Agent Trust Hub gives you one place to see every agent and AI system in your business, trace exactly what data each one touched, catch cost spikes before they spiral, and produce AI governance evidence on demand.
Automated data observability & alerting - Pipelines change constantly, and hand-written alert rules can't keep up, so problems slip through until a dashboard breaks or a customer notices first. Data Observability adjusts monitoring automatically as your data changes, traces every issue straight to where it started, and feeds that trust signal into Agent Trust Hub so every AI agent's data can be verified in real time.
Integrated data sensitivity signals - Sensitive data doesn't stay where you expect it, and by the time a routine scan finds it, an agent may already have used it in a prompt or output. Data Classification finds and classifies sensitive fields everywhere they live, blocks agents from touching them the moment they try, and feeds that sensitivity signal into Agent Trust Hub so every AI agent stays governed by the same data-handling rules.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Data Observability / Data Quality Enterprise Starter Package
Includes: Data observability monitoring, data quality, data source connectors and a browser extension.
Please contact Bigeye sales (sales@bigeye.com) prior to purchase to discuss your specific scope and available options. All custom pricing is administered via a private offer.
$75,000.00
Data Classification Enterprise Starter Package
Includes: Data scanning allocation (structured and unstructured), data source connectors and a browser extension.
Please contact Bigeye sales (sales@bigeye.com) prior to purchase to discuss your specific scope and available options. All custom pricing is administered via a private offer.
$75,000.00
Lineage Enterprise Starter Package
Includes: Data source connectors and a browser extension.
Please contact Bigeye sales (sales@bigeye.com) prior to purchase to discuss your specific scope and available options. All custom pricing is administered via a private offer.
$45,000.00
Agent Trust Hub Enterprise Starter Package
Includes: Agent registry and discovery, session insights, agent to data access insights, policy engine and run-time enforcement, AI cost insights, indexed agent session allocation, all currently built agent platform connectors.
Please contact Bigeye sales (sales@bigeye.com) prior to purchase to discuss your specific scope and available options.All custom pricing is administered via a private offer.
You choose from four independent Enterprise Starter Packages, each priced by units and sold as a separate capability. The Data Observability / Data Quality package covers monitoring and data quality. The Data Classification package covers scanning of structured and unstructured data. The Lineage package covers data source lineage. The Agent Trust Hub package covers AI agent registry, session insights, and policy enforcement. Every package includes data source connectors and a browser extension. All four use custom pricing set through a private offer, so you contact Bigeye sales to scope units and options before purchase.
Top-of-mind questions for buyers
How is the Agent Trust Hub package unit measured, and what does an indexed agent session represent?
This package is priced by units tied to an indexed agent session allocation. Each agent conversation from a connected agent platform gets indexed and counted. Your allocation covers how many of those sessions Bigeye tracks, along with the registry, cost insights, and policy enforcement described in the package.
How does the Data Classification unit work, and does rescanning the same data cost extra?
The Data Classification package includes a data scanning allocation covering structured and unstructured data. Incremental scanning analyzes only new or modified data, so full rescans are not required each cycle. This means your allocation is consumed by the volume scanned, not repeated passes over unchanged data.
Can I buy just one package, or do the four packages need to be purchased together?
Each Enterprise Starter Package is sold as a separate, unit-priced capability. You can buy one on its own or combine several. Because all pricing is custom and set through a private offer, you contact Bigeye sales to scope the units and package mix you need before purchase.
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Bigeye provides Premium Support for an additional fee which includes a named Customer Success Engineer as your primary point of contact, quarterly business reviews, and an included Professional Services package each year.
In addition Bigeye can also provide 24x7 live support for an additional annual fee. Please contact us for details:
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Find and fix data issues before they break your business. Bigeye monitors the health of your data pipelines and the quality of the data in them so you never have to wonder if your data is reliable.
Eagle Eye is a Data Quality Management and Data Observability platform that helps organizations ensure the trustworthiness, accuracy, and reliability of their data. It continuously monitors data pipelines for freshness, volume, schema changes, anomalies, and lineage. Eagle Eye proactively generates alerts through various communication channels and creates Jira tickets to ensure quick issue resolution. With real-time insights and root cause analysis, it empowers organizations to maintain high data quality, reliability, and trust in every data-driven decision.
Fisheries Vessels as Ships of Opportunities (FishSOOP) is an IMOS Sub-Facility working with fishers to collect real-time temperature and depth data by installing equipment on a network of commercial fishing vessels using a range of common fishing gear.
Every day, fishing vessels operate broadly across the productive areas of Australia’s Exclusive Economic Zone where we have few subsurface ocean measurements. The FishSOOP Sub-Facility is utilising this observing opportunity to cost-effectively increase the spatial and temporal resolution of subsurface temperature data in Australia’s inshore, shelf, upper-slope, and offshore waters. The data is currently returned to each fishing boat in near-real time, so skippers can relate their catches to temperature-at-depth information. The same data will also be collated to provide oceanographers with quality-controlled data for ground-truthing coastal models and to improve analysis and forecasts of oceanic conditions.
The IMOS funded data [...]
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The project presents Sea Around Us Global Fisheries Catch Data aggregated at EEZ level. The data are computed from reconstructed catches from various official fisheries statistics, scientific, technical and policy reports about the fisheries, and includes estimation of discards, unreported and illegal catch data from all maritime countries and major territories of the world.
This project was the result of a work between Sea Around Us and the CIC programme, a collaborative programme between the University of British Columbia (UBC) and AWS.
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