Trusted by teams building the future of AI in Southeast Asia
500+
Teams Building
10M+
Requests Routed
99.9%
Uptime SLA
<30ms
Added Latency
Route to 100+ LLM providers through a single API
Everything you need to ship
secure AI agents
Enterprise-grade security and observability that takes minutes to integrate, not months to build.
Security Guardrails
Layered defense against prompt injection, PII leakage, and harmful content. DeBERTa classifier + heuristics + configurable policies.
Agent Observability
Full trace visibility into agent-to-LLM interactions. Tool call tracking, session replay, and cross-agent graphs powered by Langfuse.
Policy Engine
YAML-based rules for tool call allowlists, session budgets, and data residency requirements. Version-controlled, audit-friendly.
allowed_tools: - search_kb - send_email denied_tools: - delete_record
Anomaly Detection
Detect unusual agent behavior in real time. Rate spikes, cost anomalies, new tool usage, and multi-dimensional pattern analysis.
SEA Data Residency
Managed deployment in Singapore and Jakarta. PDPA and UU PDP compliance tooling. Your data stays in Southeast Asia.
Cost Optimization
Smart routing by latency and cost. Per-key budgets, token metering, and usage analytics. Pay only for what you use.
Three steps to secure your AI stack
From zero to full observability in under 5 minutes.
Drop-in API
Replace your base URL with Anoman's endpoint. Works with any OpenAI-compatible SDK. Zero code changes needed.
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1"
)Guardrails Activate
Every request passes through injection detection, PII masking, content moderation, and your custom YAML policies.
# Automatic protection on every call
# Injection: blocked (score: 0.94)
# PII: masked (3 entities)
# Policy: tools verifiedFull Observability
Every LLM call is traced with token counts, costs, latency, and anomaly scores. Explore sessions in the dashboard.
Session → Trace → Spans
├── tool_call.search 12ms
├── llm.claude-sonnet 1.2s
└── tool_call.execute 45msSimple, transparent pricing
Pay-per-token passthrough + platform fee. No hidden costs.
Free
For exploration and prototyping
- 1,000 requests/month
- 3 LLM providers
- Basic guardrails (injection + PII)
- 7-day trace retention
- Community support
Developer
For indie developers and small teams
- 50,000 requests/month
- All LLM providers
- Full guardrail pipeline
- 30-day trace retention
- Custom YAML policies
- Anomaly detection
- Email alerts
- Priority support
Team
For growing teams with compliance needs
- 500,000 requests/month
- All LLM providers
- Full guardrail pipeline
- 90-day trace retention
- Custom policies + OPA
- ML anomaly detection
- Webhook + Slack alerts
- RBAC & team management
- Data residency (SG/JKT)
- IDR/SGD billing
Enterprise
For organizations with compliance and scale requirements
- Unlimited requests
- All LLM providers
- 365-day trace retention
- ML anomaly detection
- SSO / SAML
- Custom data residency
- 99.99% SLA
- Dedicated support
- UU PDP / PDPA audit reports
Frequently Asked Questions
Everything you need to know about Anoman AI and LLM gateway security.
An LLM gateway is a proxy service that sits between your application and LLM providers like OpenAI, Anthropic, and Google. It routes API requests, enforces security policies, tracks usage, and provides observability — all through a single, unified API endpoint. Anoman AI is the first LLM gateway with built-in guardrails for prompt injection detection, PII masking, and policy-based tool call control.