Platform features

One control layer for cloud, SaaS, and AI spend.

OggyCloud is designed to help growing teams see where technology money goes, who owns it, what changed, and which action is worth taking next.

Spend intelligence
Monthly spend
₹4.91L
Open actions
18
Ownership
72%
Savings found
₹86K
AWSInfrastructurePlatform₹2.8L+12%
OpenAIAI APIProduct AI₹94K+38%
VercelFrontendGrowth₹41K+9%
MongoDBDatabaseData₹76K-4%
Product modules

Built for visibility, ownership, and action.

Each module answers a simple operating question: what are we spending, why did it change, who owns it, and what should happen next?

Visibility

Unified Spend Dashboard

Bring cloud bills, SaaS platforms, and AI usage into one operating view for founders, finance, and engineering teams.

AI

AI Usage Analytics

Track model usage, tokens, API keys, workflows, and AI cost patterns before they become hard-to-debug budget issues.

Control

Ownership Mapping

Connect spend to teams, projects, services, environments, customers, and workflows so every cost has a clear owner.

Alerts

Budget Alerts

Set guardrails for spend spikes, new services, token growth, unused resources, and team-level budget drift.

Savings

Optimization Recommendations

Prioritize the next best action with estimated impact, confidence, owner, and operational risk.

Reports

FinOps Reporting

Prepare clean summaries for investor updates, finance reviews, department budgets, and engineering planning.

Operating model

Different teams can read the same spend data in their own language.

OggyCloud is not just another bill viewer. It is meant to connect financial signals with the engineering and product context behind them.

Founder view

Monthly burn, savings pipeline, biggest cost drivers, and budget health.

Finance view

Department allocation, forecast variance, invoices, and investor-ready reporting.

Engineering view

Service-level spend, resource drift, AI usage, and owner-routed actions.

Product view

Feature, workflow, customer, and model economics tied to business outcomes.

Coverage

Start with AWS and OpenAI. Expand into the full spend stack.

The first product path focuses on cloud infrastructure plus AI API usage, then adds SaaS spend, ownership automation, and recommendation workflows.

Cloud costs

AWS service spend
Idle resource signals
Tag and account coverage

AI costs

Token and model usage
API key ownership
Workflow cost trends

SaaS costs

Platform subscriptions
Team-level attribution
Unused or duplicate tools

Designed for read-only, low-risk integrations.

The product direction prioritizes read-only billing access, least-privilege credentials, clear data boundaries, and human approval before operational changes.

Read-only first

Pull billing and usage data without requesting infrastructure write access.

Human-approved actions

Recommendations explain the evidence instead of automatically changing production systems.

Owner-aware alerts

Route alerts to the person or team most likely to understand the spend.

Finance-ready context

Keep assumptions, forecasts, and projected savings separate from actual spend.

Pilot access

Ready to help shape OggyCloud?

We are looking for early teams that want clearer visibility across cloud, SaaS, and AI spend before costs become hard to control.