The Privacy-First AI Cost Platform
Track AI costs without exposing your data
Know which customers, teams, and projects are driving your LLM spend. SDK-only architecture means we never see your prompts - HIPAA/PCI compliant by design.
The AI Cost Visibility Problem
Built for Privacy, Designed for Finance
Cost attribution that regulated industries can actually use
Privacy by Architecture
SDK-only approach means your prompts and completions never touch our servers. HIPAA and PCI compliant by design, not by promise.
Cost Attribution
Track AI spend by customer, team, project, or employee. Finally answer "which customers are margin-negative?"
CFO-Ready Analytics
Built for Finance teams, not just ML engineers. Period comparisons, anomaly detection, and exportable reports.
Anomaly Alerts
Detect entities with unusual spending patterns before they blow up your bill. Get notified when costs spike.
Zero Latency Impact
Events sent asynchronously in background batches. Your LLM calls stay fast. We never block your application.
Regulated Industries
Healthcare, finance, legal - industries that can't use proxy tools can finally get cost visibility.
Why We're Different
Other tools require proxying your traffic. We don't.
| Tool | Approach | Sees Prompts | Primary Buyer |
|---|---|---|---|
| Helicone | Proxy + SDK | Yes | ML Engineers |
| LiteLLM | Proxy (unified API) | Yes | ML Engineers |
| Portkey | Gateway | Yes | ML Engineers |
| InfraPrism | SDK-only | Never | CFOs / Finance |
Proxy-based tools
Route all LLM traffic through their servers. Great for observability, but your prompts and completions pass through a third party. Not suitable for regulated industries.
InfraPrism (SDK-only)
Extracts only metadata (tokens, cost, latency) client-side. Your prompts go directly to OpenAI/Anthropic. We never see or store your data. HIPAA/PCI compliant by architecture.
Get Started in 5 Minutes
No proxy setup, no traffic routing, no infrastructure changes
Install the SDK
pip install infraprism - takes 30 seconds
Wrap Your Client
One-line change: replace OpenAI() with InfraPrismOpenAI()
Add Entity Context
Tag calls with entity_type and entity_id to attribute costs
Simple Integration
from infraprism import InfraPrismOpenAI
# One-line change to your existing OpenAI client
client = InfraPrismOpenAI(
api_key="sk-...", # Your OpenAI key
infraprism_api_key="ip-...", # Your InfraPrism key
)
# Track costs by customer - just add entity params
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello!"}],
entity_type="customer", # customer | team | project | employee
entity_id="acme-corp", # Your internal identifier
tags={"feature": "chat", "env": "production"},
)
# Cost automatically calculated and attributed to "acme-corp" Stop flying blind on AI costs
Join companies using InfraPrism to understand their AI spend and protect their margins - without compromising on privacy.