AI Control Plane

The control plane for reliable AI

Full visibility, intelligent routing, quality steering, and compliance — one infrastructure layer for every AI call.

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Trusted by thousands of developers and leading companies

Alska
Beatly
Caterbee
GetTested
Glimja
ISEC
Ping Payments
Psyscale
Steep
Sundstark
Textfinity

Capabilities

Five layers of control

Every AI interaction flows through Opper — observable, governed, and improvable.

Observe

Every completion is captured and aggregated into sessions — the conversations users actually experienced. Automated quality scoring, regression detection, and cost anomaly alerts. Product owners, compliance teams, and leadership see the same data.

  • Per-call: model, tokens, latency, cost, status
  • Per-session: conversation flow, quality score, anomalies
See full observability features
claude-sonnet-4.5
2.3s · 1,847 tok
Cost: $0.0092Quality: 0.94
gpt-5.4
1.8s · 2,104 tok
Cost: $0.0263Quality: 0.91
gpt-5.4
Anomaly detected
Quality: 0.41Regression: -53%
142 spans observed · 12,847 events today

Route

200+ models from OpenAI, Anthropic, Google, Mistral, and all OpenAI-compatible endpoints. One gateway, all models. BYOK supported — use your own API keys and fine-tuned models. Automatic failover between providers with model aliases that decouple your code from provider decisions.

  • Automatic failover between providers
  • BYOK — you own every provider relationship
See the LLM Gateway
claude-sonnet-4.5
Anthropic Direct
Timeout
Auto-failover in 180ms
claude-sonnet-4.5
AWS Bedrock EU
Success
Total latency: 0.9s200+ models · BYOK supported

Steer

LLMs are probabilistic — without active steering, quality is a distribution. Opper narrows it. Semantic example retrieval injects the right context at inference time. Get frontier-level performance from smaller, cheaper models.

  • Higher quality, lower cost, faster
  • Semantic example retrieval at inference time
See context engineering
Quality with and without steering:
Without Opper
0.58
Large model needed
With Opper
0.94
Small model + steering
Semantic example retrieval · Higher quality · Lower cost

Guard

Inspects requests and responses in real time. PII is masked before data reaches the model. Content filtering, topic blocking, tool call restrictions, and prompt injection detection — all enforced at the infrastructure level.

  • PII masking before model processing
  • Prompt injection detection
Incoming request
Summarize the case for customer Anna Svensson, personal ID 199001015678.
PII masking applied
Sent to model
Summarize the case for customer [NAME], personal ID [PID].
PII never reaches the model · Content filtering · Prompt injection detection

Comply

Real-time compliance enforcement at the infrastructure level. Model allowlists per workload, budget caps per namespace, rate limiting, and configurable data retention. Every decision is logged with a complete audit trail — GDPR, DORA, NIS2, EU AI Act reviews are already answered.

  • Budget caps and model allowlists
  • Full audit trail for GDPR, DORA, EU AI Act
Monthly budget
$2,400
72% used · $672 remaining
Model allowlist
claude-sonnet-4.5
gemini-3.1-pro
gpt-5.4 (US)
Compliance status
GDPR
EU AI Act
DORA
Every decision logged · Full audit trail · Export-ready for SOC 2, GDPR, DORA

Compliance

European deployment

Connect your own EU-hosted providers. You own every provider relationship and control every data flow.

GDPR

PII masking before model processing. Configurable data retention — including zero-day retention.

Schrems II

Use your own EU-hosted models. No transatlantic transfer unless you configure it.

EU AI Act

Full session replay. Audit trail showing what AI saw, said, filtered, and injected.

DORA

Failover between providers. Budget controls. Operational resilience.

Start building with full control

One API key. Every major provider. Observability, guardrails, and compliance included.

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