CostGuard

Control LLM cost before AI becomes an unpredictable expense.

CostGuard audits AI workflows, adds semantic caching, model routing, prompt optimization, monitoring, and hallucination checks.

Who it's for

CTOs, AI teams, startups using LLMs.

The problem

LLM costs spiral out of control and teams lack visibility into usage and quality.

How it works

Input sources

API logs
Prompt history
Cost data
Usage patterns
Quality metrics

Output artifacts

Cost reports
Optimization recommendations
Cached responses
Model routing rules
Quality alerts

Core features

Cost audit
Semantic caching
Model routing
Prompt optimization
Hallucination monitoring

Integrations

OpenAI
Anthropic
Azure
AWS Bedrock
Monitoring tools

Human approval and safety

Every CostGuard implementation includes human-in-the-loop approval workflows. Critical actions, outputs, and decisions are routed for human review before execution. This ensures quality, maintains control, and builds trust.

Review
Examine AI-generated outputs before they move forward
Approve
Confirm and authorize critical actions and decisions
Execute
Approved outputs move to your tools and systems

KPIs improved

LLM cost reduction
Cache hit rate
Quality score
Cost predictability

Pricing signal

Final pricing depends on data complexity, integration depth, compliance requirements, usage volume, and support needs.

Setup
$3,000–$10,000
One-time implementation
Monthly
$499–$2,000/mo
Managed operations
Platform Path

Core infrastructure for all AI operations.

Every CostGuard implementation is built on the Ikhora platform layer, which includes orchestration, knowledge retrieval, human approval, integrations, AgentWatch monitoring, and continuous improvement.

Explore the platform

Ready to see CostGuard in action?

Book a demo and see how AI can transform your workflow.

Book a CostGuard demo