About the Project
A governance platform for automation evidence, privacy-preserving control, and AI agent oversight.
Enterprise platform
meghIQ is an enterprise automation governance project. The maintainer receives no financial compensation, royalties, or equity payouts from the project.
The platform is available to a limited group of pilot customers for evaluation and feedback. No commercial sales, paid subscriptions, licensing, or paid services are offered at this time.
Any future commercialization, hiring, or business operations are conditional on future regulatory milestones and are not currently in effect.
Background
meghIQ began from a recurring observation in enterprise environments: as organizations adopt AI-driven automations across SaaS platforms, cloud functions, and internal systems, they accumulate hundreds or thousands of workloads that nobody fully owns, inventories, or attributes cost to.
The downstream effects are well-documented in industry reporting on AI infrastructure cost overruns at large enterprises: duplicate spend, unattributed compute, compliance gaps discovered only during audits, and a missing audit trail for autonomous agents acting in production systems.
The platform covers three areas — discovery and cataloging of AI workloads, tamper-evident evidence, and privacy-preserving governance and oversight. The work is conducted as an independent, platform and shared with pilot customers on an evaluation basis.
meghIQ is not currently offered as a commercial product or service. No paid subscriptions, licenses, or transactions are available. Any future commercialization is conditional on future regulatory milestones and is not in effect at this time.
How the Project Operates
The principles that guide how we build
Open Engineering
Documentation, architecture notes, and release notes are published openly and shared with customers.
Customer-Driven
Roadmap direction is informed by the practitioners and teamsers participating in the beta program — not by sales targets.
Built Iteratively
Features are built quickly, tested with customers against real workload data, and revised based on what the results show.
Transparency
Scope, current release status, and what is and is not yet shipping are stated plainly on every page of this site.
Project Status
Founder & Engineer
meghIQ is maintained as an independent, enterprise platform. The maintainer receives no financial compensation, royalties, or equity payouts from the project.
Problem
What meghIQ does
How can enterprises discover, evidence, and govern AI-driven automations operating across SaaS, cloud, and homegrown stacks while preserving privacy-sensitive ownership data?
Future Direction
Conditional on milestones
Pricing is per estate and scales with the number of governed resources. Customers are notified in advance of any change to commercial terms.
Want to learn more or collaborate?
Explore the platform or talk to us about a pilot on your own basis.