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Inference reliability

Resolve inference degradation fast

Harbor detects latency, quality, cost, and reliability degradation across production inference, identifies the root cause, and guides teams to the right fix.

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Built for teams keeping production AI systems reliable.
Live degradation analysis Fix ready
Harbor Causal Intelligence Engine
Connects production signals to isolate the root cause, surface impact, and recommend the next fix.
signals analyzed48
systems linked05
action generated01
Catch degradation before users feel it
Identify root cause across the inference stack
Recommend fixes teams can repeat
NVIDIA Inception Program badge
Problem

Inference degradation is hard to explain

When latency rises, answer quality drops, costs spike, or endpoints fail, teams have to piece together logs, traces, model behavior, retrieval, routing, and infrastructure metrics by hand.

01

Degradation is subtle

Latency, quality, retrieval misses, and saturation can drift long before a clean outage appears.

02

The cause is scattered

Engineers jump between observability tools, serving layers, vector stores, and infrastructure dashboards to understand what changed.

03

Fixes get lost

After an issue is resolved, the learning often gets trapped in Slack threads, tickets, or one-off runbooks.

Detect

Catch degradation early

Harbor watches production inference for latency spikes, degraded responses, retrieval misses, routing issues, infrastructure saturation, and cost drift.

  • Latency and throughput anomalies
  • Degraded response quality
  • Retrieval and memory misses
  • Routing and endpoint issues
inference.healthSTABLE
Inference routes12 / 12 ready
Retrieval pathp95 18ms
Memory servicesmatched
Cost driftstable
Failover risklow
Explain

Find the root cause

Harbor correlates model behavior, retrieval, memory, routing, logs, traces, and infrastructure signals to isolate the root cause.

  • Cross-system signal correlation
  • Root cause isolation
  • Degradation-path tracing
  • Change and drift detection
root.causeCAUSE FOUND
Routing - fallback expansion
Retrieval - cache miss cascade
Inference - endpoint saturation
Root cause isolated in 00:00:37.
Remediate

Resolve and prevent repeats

Harbor turns root-cause context into fixes and reusable workflows, helping teams resolve issues quickly and prevent the same investigation from happening again.

  • Guided remediation steps
  • Saved remediation workflows
  • Repeatable runbooks
  • Path toward self-healing reliability
remediation.actionsready
Reroute trafficDrain traffic from the saturated endpoint and promote the warm fallback path.
Refresh retrieval pathMove the hot shard to the lower-latency memory tier.
Save fixStore this dependency pattern as a reusable orchestration response.

See Harbor catch and resolve live inference degradation. Watch scattered signals become root cause, a fix, and a reusable workflow.

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How it works

From degradation to root cause

Harbor connects the signals behind production inference, identifies what changed, and gives teams the context to restore performance faster.

Inferencemodels / endpoints / agents
Contextmemory / retrieval / caches
Infrastructurecompute / queues / networks
Root cause intelligence

Harbor turns fragmented inference signals into root cause.

Logs, traces, routing behavior, retrieval paths, model behavior, memory systems, and infrastructure metrics become one view for diagnosing degradation and choosing the next fix.

Pricing

Pricing based on deployment scale

Designed for teams responsible for production inference reliability.

Starter

8-64 GPUs

For early teams building production inference.

  • Production inference visibility
  • Root cause diagnosis
  • Cluster validation

Growth

65-256 GPUs

For scaling AI teams running connected workloads.

  • Cross-stack diagnostics
  • Historical incident correlation
  • Guided remediation

Enterprise

256+ GPUs

For regulated, air-gapped, or system-critical deployments.

  • On-prem deployment
  • Air-gapped environments
  • Custom workflows

Not sure which plan fits? We will map Harbor to your inference stack, deployment model, and reliability workflow.

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Belief

Why Harbor exists

We built the layer that explains why inference changed.

Built by ex-Amazon and Microsoft AI Infra
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Stop letting inference degradation linger

See how Harbor detects degradation, identifies root cause, and guides teams to fixes before small issues become production problems.

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