Finout
The FinOps platform for cloud and AI spend, with agents that find the savings and act on them.
By Finout · HQ Tel Aviv, Israel · 4.5/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Enterprises and scale-ups running multi-cloud (AWS, GCP, Azure, OCI) plus Kubernetes that need one consolidated view of cloud, SaaS and AI spend.
- FinOps, finance and platform-engineering teams that must allocate shared costs and show back or charge back to products, teams and customers.
- Companies with fast-growing AI and LLM token spend across OpenAI, Anthropic, Bedrock/Vertex and developer AI tools that is invisible in the cloud bill.
- Organizations that want anomalies and waste findings routed into existing Slack, Jira or ServiceNow approval workflows.
Ideal size: 200+ employees or >$1M annual cloud spend people · Established multi-cloud footprint with a FinOps or platform-cost owner
Not for
- Small teams on a single cloud with modest spend, where native provider cost tools and spreadsheets are enough.
- Buyers who require published list pricing or per-seat plans before evaluating; Finout quotes against your environment.
- Teams looking for IT asset or licence management rather than cloud, Kubernetes, SaaS and AI cost governance.
- Organizations with no engineering ownership of cost and no appetite for allocation, showback or chargeback.
Value metrics scorecard
Time-to-Value
48 hours to first insight; 2 weeks to full allocation
~2 days to first production value
Total Cost of Ownership
On request
Flat annual subscription fee based on a committed spend tier and environment scale; not per seat and not a percentage of the cloud bill.
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
No seat tiers; Business, Pro and Enterprise differ by cost centers (2 / 3 / unlimited) and included connectors.
Add-on costs
- Cost per Customer unit-economics add-on: $250 on Business and $500 on Pro; included on Enterprise.
- Some connectors (e.g. Kubernetes, Datadog, Snowflake, Databricks, Confluent) carry a 25% price increase on lower tiers; included on Enterprise.
Company & support
Who is behind Finout, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Tel Aviv, Israel
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatPaid plans
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerEnterprise only
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
In-App Chat is listed on the Business, Pro and Enterprise plans; dedicated Slack support with a named specialist channel appears on Pro and Enterprise only. Product documentation is available self-serve.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Finout sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Finout
- ProsperOps
- ScaleOps
- Zesty
- Keebo
- Usage.ai
Add or change companies
Up to 10 companies including Finout. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Finout ships in AI, and what it asks of your ecosystem.
AI features shipped
Billy is an AI FinOps assistant with full context on the account, answering live and account-specific questions. Three specialised agents (Detection, Investigation, Orchestration) scan cloud, Kubernetes, AI and SaaS for waste and anomalies, build root-cause narratives, and route fixes through Slack, Jira or ServiceNow with governance and verification.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Basic visibility
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Finout is an enterprise FinOps platform that unifies cloud (AWS, GCP, Azure, OCI), Kubernetes, data-warehouse, SaaS and AI token spend in one MegaBill model. Virtual Tags and shared-cost rules allocate spend to the team, product or customer that caused it, with budgets, anomaly detection and CostGuard savings advice. Its AI layer adds Billy, a read-only, RBAC-scoped assistant, plus Detection, Investigation and Orchestration agents that route fixes through Slack, Jira or ServiceNow. Pricing is a flat annual fee tied to spend under management.
Frequently asked questions
How long until we see value from Finout?
Finout states that most teams see their first anomaly and unit-cost view within 48 hours of connecting their first billing account, with full multi-cloud allocation and chargeback typically landing within the first two weeks. Integrations are agentless and require no code changes.
How does Finout price, and does it take a percentage of our cloud bill?
No. Finout charges a flat annual fee tied to a committed spend tier and the scale of the environment (cost centers, data volume and connectors), not a per-seat charge and not a percentage that moves with monthly usage. Business, Pro and Enterprise tiers differ mainly by number of cost centers and included connectors, and quotes are scoped per environment.
Can Finout track AI and LLM token spend?
Yes. Finout connects to AI provider APIs including OpenAI and Anthropic, and to cloud AI services such as Bedrock and Vertex AI. Usage is broken down by model, endpoint and token count rather than one invoice line, then allocated to the owning team, product or feature for cost-per-token and cost-per-request visibility.
Do the AI agents take action on our infrastructure on their own?
No, not by default. The Orchestration Agent proposes changes such as rightsizing, commitment purchases and idle cleanup, then routes them through your existing approval flow in Slack, Jira or ServiceNow. Auto-apply is opt-in per workflow, with governance, audit and verification built in.
What security and compliance certifications does Finout hold?
Finout states it is SOC 2 Type II and ISO/IEC 27001:2022 certified and GDPR compliant. PII is stored in the EU and handled by a designated processor, data is encrypted in transit and at rest and isolated per tenant, and EU and US data residency are available.
Is our billing data used to train AI models?
Finout states that data never trains a model and that billing data is never used to train shared models. Its AI assistant Billy runs read-only, RBAC-scoped and audit-logged inside the customer's perimeter, applying customer policies before any answer is generated.