meghIQ is an independent, uncompensated research effort exploring how enterprises can discover, attribute cost to, and govern AI-driven automations operating across SaaS, cloud, and homegrown stacks.
meghIQ is currently maintained as an independent, uncompensated research project. The maintainer receives no financial compensation, royalties, or equity payouts from the project.
The platform is shared with a limited group of research collaborators 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. Collaborators will be notified well in advance of any such transition.
Industry reporting has consistently identified AI infrastructure cost overruns, missing audit trails for autonomous systems, and gaps in operational oversight as material risks for enterprises adopting AI-driven automations at scale. The questions this project investigates are not theoretical — they are practical, recurring, and largely unsolved.
Three open questions structure the work.
How can enterprises find every AI and automation workload running across SaaS, cloud, and homegrown stacks — without manual inventory?
Active threads
How should AI compute, model API calls, and automation runs be attributed to teams, products, and business outcomes — and forecast forward?
Active threads
What does tamper-evident audit, policy enforcement, and human-in-the-loop oversight look like for AI-driven automations operating at scale?
Active threads
Each research track produces a working prototype that collaborators can run against their own environments.
Findings are validated against real workload data shared by collaborators, not synthetic benchmarks.
Architecture documentation, technical write-ups, and post-mortems are first-class outputs of the project.
Beta access is offered no-fee to organizations and researchers studying AI cost, automation governance, and operational oversight. Reach out via the Contact page to discuss whether the project fits your interests.
Request Beta Access