Product

Hound your AI bill.
Before it hounds you.

CapHound brings FinOps governance to AI spend — real-time cost attribution, budget enforcement, and decision auditing for every LLM call your business makes.

01 · Enforce

Block runaway spend before it lands on the invoice

CapHound evaluates every request inline — before it hits your provider. When a budget is exceeded, the request is blocked. Not flagged for someone to review later. Blocked, in real time.

Hard budget caps

Set monthly limits per team, feature, customer, or environment. CapHound enforces them in real time — no human in the loop required.

Runaway protection

A retry loop fires 4,000 calls. CapHound catches the first 50, blocks the rest. The bug becomes a quiet incident — not a five-figure invoice line.

Tiered alerts

Get notified at 80% and 100% of budget over Slack or email. Finance and engineering see the same data at the same time.

CapHound·Decision Log
Streaming
Workspace monthly budgetOver
$10,247 / $10,000102%
Blocked
gpt-4o
growth-engineering · marketing-summarizer
12:42:08
Blocked
gpt-4o
growth-engineering · marketing-summarizer
12:42:09
Blocked
gpt-4o
growth-engineering · marketing-summarizer
12:42:09
Allowed
gpt-4o-mini
platform-team · logs-classifier
12:42:10
What the caller sees · 429 Too Many Requests
{
  "error": {
    "code": "budget_exceeded",
    "message": "Workspace budget exceeded ($10,247 / $10,000). Hard block in effect until reset.",
    "retry_after": "2026-05-01T00:00:00Z"
  }
}
3 blocks · 1 allow in last secondAudit trail

02 · Attribute

Every AI dollar mapped to a team, feature, or customer

When finance asks where the AI bill went, you have a real answer — broken down by the dimensions FinOps actually uses. No spreadsheets. No guesswork.

Feature

chat, search, summarization, classification

Team

product, growth, internal tools

Customer

per-customer cost allocation, chargeback

Environment

production, staging, dev

CapHound·Cost Explorer
Live
FeatureTeamCustomerEnvironmentModel
Total spend · attributed
$48,217100% mapped
Across 12 features · 5 teams · 38 customers
Breakdown by featureTop 4
customer-support-chat · gpt-5 · acme-corp$18,420
document-analysis · claude-4-sonnet · beta-users$14,460
search-ranking · gpt-5-mini · internal$8,200
translation-api · gemini-2.5-pro · all$7,137
Drill down
By team
5 teams
Platform leads at $14,800
By customer
38 customers
acme-corp: $18,420
By model
8 active
gpt-5 = 38% of spend
By environment
3 envs
production = 91%
Showing 4 of 47 features · attribution: 100%Export CSV

03 · Allocate

Finance sees Business Unit. Engineering sees Service.

CapHound maps AI spend to the dimensions your finance org actually uses — showback by cost center, chargeback by customer, custom groupings with no tagging mandate on engineering.

Custom dimensions

Define Business Unit, Product Line, or Cost Center. AI spend rolls up automatically. No changes to how engineers tag requests.

Showback & chargeback

Show each team their monthly AI spend. Export a clean chargeback report for finance in one click — no spreadsheet required.

Tag normalization

Engineers tag inconsistently. CapHound normalizes the variants — 'cs-chat', 'customer-support', and 'cust-support' all become the same canonical value.

CapHound·Dimensions · Business Unit

All dimensions

SystemFeature
feature
SystemTeam
team
SystemCustomer
customer
SystemEnvironment
environment
CustomBusiness Unit
business_unit
CustomProduct Line
product_line

Cost breakdown

Business Unit

AI spend rolled up for finance reporting

Customer Experience
$24,89041%
customer-support-chat, onboarding-assistant
Revenue & Growth
$16,98028%
sales-email-automation, lead-scoring
Platform & Infrastructure
$11,53019%
log-classifier, platform-shared
Internal Tools
$7,28012%
contract-analysis, hr-automation
Total: $60,680 attributed
Cost allocation applies at query time — raw events are never modified.

04 · Govern

Define the rules. CapHound enforces them.

Write the policies that match your business. Dev should use cheap models. Free users get the cheaper tier. When the budget tightens, downgrade automatically. CapHound enforces it on every request.

Environment routing

Force cheaper models in dev and staging. Best models only in production. Zero application code changes — it's a server-side policy.

Tier-aware routing

Free users hit the efficient tier. Paid customers get full capability. Your business rules, enforced inline, never in app code.

Budget-pressure downgrade

When spend approaches the cap, CapHound automatically downgrades to a cheaper model. No human intervention. No production fire-drill.

CapHound·Decision Engine
Optimizing
Workspace pressureWatch
91%
$9,140 / $10,000 · 5 days left in cycle
DowngradeActive rule
When pressure ≥90%
Move fromgpt-4o
Move togpt-4o-mini
Cost ratio~6% of original
Live decisionslast second
Modified
gpt-4ogpt-4o-mini
blog-summarizer
Saved
$0.0451
Modified
gpt-4ogpt-4o-mini
ticket-triage
Saved
$0.0197
Modified
gpt-4ogpt-4o-mini
search-rewriter
Saved
$0.0079
Modified
claude-opus-4-6claude-haiku-4-5
doc-summarizer
Saved
$0.1141
Saved this minute
$0.1868
Projected daily
~$269
4 modifies · 0 blocks · 23 allowed in last secondSee full audit

One control layer. Every provider.

Cost attribution, budget enforcement, and policy governance — across every AI provider you use, from a single integration.

OpenAI

GPT-5 · GPT-4.5 · o3 · o3-mini

Anthropic

Claude 4 Opus · Claude 4 Sonnet · Claude 4 Haiku

Google Gemini

Gemini 2.5 Pro · Gemini 2.0 Flash

Azure OpenAI

GPT-4o · GPT-4o mini · o1

Vertex AI

Gemini · PaLM · Claude on Vertex

AWS Bedrock

Claude · Titan · Llama · Mistral

Enterprise-ready from day one

Every workspace is hard-isolated at the database layer — Postgres row-level security enforced on every query. Every enforcement decision is logged with full audit context. Role-based access means finance sees chargeback reports, not API keys.

SOC2 Type II in progress. Security architecture available on request.

Hound your AI bill.
Before it hounds you.

Start free. Add enforcement as your spend grows.