Building the intelligence layer for technology spend.
OggyCloud exists because engineering spend is no longer just cloud infrastructure. Modern teams now pay for cloud, SaaS platforms, AI APIs, agents, databases, and developer tools, often without one clear source of truth.
Make technology spending understandable and accountable.
The first version of OggyCloud is focused on making AWS and OpenAI spend easier to understand, assign, and control. The larger vision is a unified operating layer across cloud, SaaS, AI, and FinOps.
OggyCloud should help teams answer four questions.
The product is built around operating discipline, not just dashboards.
Dashboards matter, but the real value comes when data turns into ownership, alerts, and decisions.
Visibility before optimization
Teams cannot control spending they cannot see, understand, or attribute to the right owner.
Every cost needs an owner
Spend should map to teams, services, projects, workflows, and business context instead of staying trapped inside invoices.
AI spend is engineering spend
Tokens, models, API keys, agents, and prompts need the same operating discipline as compute, storage, and databases.
Recommendations need evidence
Useful recommendations explain impact, confidence, ownership, and risk so teams can act without guessing.
A focused founding team for the first product build.
OggyCloud is early, so the company story should stay specific: build the MVP, test it with real teams, and turn pilot learning into a product customers will pay for.
Ayush Chauhan
Product vision, customer discovery, go-to-market, investor communication, and company building.
Rahul Kumar
Technical architecture, integrations, dashboard experience, backend systems, and product execution.
The first milestone is a focused MVP, not a giant platform.
OggyCloud should prove one complete loop first: connect data, show spend, map ownership, alert on drift, and recommend action.
For founders
Understand burn from infrastructure, SaaS, and AI before costs surprise the company.
For engineering
Know which service, workflow, resource, model, or team is responsible for spend.
For finance
Get cleaner assumptions, summaries, and allocation views for planning and reporting.
Reach the founding team.
Help shape the first version of OggyCloud.
We are looking for people who feel the pain of cloud, SaaS, and AI spend complexity and can give practical feedback on the MVP.