The product

Everything finance needs to control cloud and AI spend — in one place.

Five jobs, done end to end: see where the money went, give every cost an owner, forecast what's coming, approve and govern changes, and report to the board. Every module connected under the hood — but you only ever see one joined-up system.

Where it went What's coming Owners & budgets Approve & control Board reporting
Analyze · Allocate

Know where every dollar went.

Slice cloud and AI spend by project, business unit, tag or any dimension you invent — then map it onto a real org hierarchy so every cost has an owner. Unallocated spend is always surfaced, never buried, so you can push attribution close to 100%.

  • Interactive analysis — no SQL; drill from chart to the exact resource
  • Multi-level org hierarchy, 5+ levels deep
  • Unallocated cost always visible — attribution near 100%
Organisational hierarchy
Acme Corp€1.28M
Engineering€842k
ML Platform€304k
Data Platform€256k
Application Eng.€282k
Product€214k
Marketing€198k
Unallocated€26.8k · 2.1%
Forecast models in production
ARIMA / AutoARIMA
Classical time-series
Prophet
Seasonality + holidays
Holt's / SES
Exponential smoothing
TiDE
Deep-learning, multi-horizon
Auto-select: InstantViewAI runs every candidate model, scores them on your history, and picks the best fit per resource. You can pin a model per BU if your team has a preference.
Forecast

See what's coming before it lands.

Cost Forecasting runs five proven methods in parallel, scores them on your own history, and uses whichever fits best — per resource, per project, and across the whole org. No data-science team required.

  • Forecast vs. actual, side by side in chart and table
  • Confidence intervals, not just point estimates
  • Best-fit model auto-selected per resource
Budget

Hold owners to a number.

Define hard or soft budgets in any currency, scope them precisely, assign finance and ops owners, and choose how the total is distributed across periods. Every budget runs a real lifecycle — draft → active → archived — and every transition is audited.

  • Hard or soft budgets, in any currency
  • A finance owner and an ops owner on every budget
  • Real-time budget cockpit with risk assessment
Budget · ML Platform FY26
Active
€1,200,000 / annual
€816k spent · 68%€384k remaining
Period type
Quarterly
Allocation
Front-loaded
Finance owner
finance.lead@
Ops owner
D. Okafor

Approval policies

Rule-based — "requires approval if amount > €50k". Health monitored per policy.

Delegations

Time-bounded delegation of approval authority to colleagues. Auto-expires.

Approvals inbox

A single inbox per approver. Lifecycle: pending → approved / rejected / cancelled.

Append-only audit trail

Every material state transition is recorded — budgets, approvals, users, allocation.

Govern

Approve and control change.

Route spend decisions through approval policies and delegated approvers, and write every state transition to an append-only audit trail. When the board asks who approved a €400k spike, the answer is one click away — with timestamps, identities and prior states attached.

  • Rule-based approval policies + time-bounded delegations
  • One approvals inbox per approver
  • Append-only audit trail across budgets, approvals, users
Report

Report without copy-paste week.

The Report Builder is a drag-and-drop editor with 15+ building blocks — KPI cards, charts, tables, forecasts, and insight panels. Export to PDF, set a schedule, and it lands in the board's inbox automatically.

  • 15+ building blocks, configurable per report
  • Pixel-perfect PDF export, stored and shareable
  • Cron-based schedules — create, pause, resume
KPI
Forecast
Donut
Area chart
Insights
Table
Bar chart
+ Add widget
AI assistant

Ask why the bill changed — in plain English.

The built-in assistant has live access to your cloud inventory. Ask "why did ML Platform jump 38% last week?" and get a real answer tied back to the resources that caused it — not just another chart.

You: Why did ML Platform spend jump 38% last week?
Assistant: ML Platform increased by €94,210 week-over-week, driven by three changes:
  1. A new GPU node pool (8× A100) brought online May 4 — accounts for €62k.
  2. Vertex AI batch prediction jobs +320% — likely an evaluation run.
  3. Cloud Storage egress +€8.4k from the model artifact bucket.
Sources: 3 resources · cost model v17 · IT change log
Everything in the platform

Every module, one connected system.

The five jobs above are delivered by eight modules that share one data model — so a number never means two different things in two different places.

Analyze
Interactive cost analysis; slice by project, BU, tag or any dimension.
Forecast
Five forecasting methods, auto-selected per resource.
Allocate
Multi-level org hierarchy; attribution close to 100%.
Budget
Hard/soft budgets with a real draft→active→archived lifecycle.
Govern
Approval policies, delegations, append-only audit trail.
Report
Drag-and-drop board reports with scheduled PDF export.
AI assistant
Plain-English answers tied to the resources that moved the bill.
Data & integrations
Cloud, billing and identity ingestion; multi-tenant by design.
Data & integrations

Built on your existing cloud, billing and identity stack.

A real data pipeline behind every dashboard — BigQuery ingestion, BigQuery-to-PostgreSQL transfer for operational queries, GCP KMS envelope encryption for secrets, and per-tenant identity with white-label login.

Google Cloud Platform
Cost, inventory & utilization via BigQuery
AWS
Multi-cloud cost ingestion
Microsoft Azure
Multi-cloud cost ingestion
OpenAI
LLM token spend unified into €
ChatGPT
AI assistant usage spend
Anthropic
LLM token spend unified into €
Google Gemini
LLM token spend unified into €
Google Vertex AI
Model & inference cost ingestion
Cursor
AI coding assistant spend
Claude Code
AI coding agent spend
Microsoft Copilot
AI assistant usage spend
Multi-tenant by design. Each customer is an isolated tenant with separated data in PostgreSQL (admin schema) and BigQuery (per-tenant dataset). Service-account keys and secrets encrypted at rest using GCP KMS envelope encryption.

Want to see all of this against your own data?

Book a 25-minute walkthrough on your own billing exports — no sales call required.