Where does reliability work start?

With production-shaped cases and an explicit failure model. The eval harness becomes the shared artifact for repair, migration, routing, and release decisions.

Will you replace our current tools?

Only when the evidence demands it. The default is to preserve working infrastructure, isolate the failure, and make the smallest measurable repair.

Can our engineer work alongside you?

Yes. This works best as a peer scope with the engineer who will own the harness, workflow, or server after handoff.

AI Reliability Engineering

Users can feel the failure even when uptime is green.

AI reliability consulting services for production RAG, LLM, MCP, model migration, agent workflow, and cost failures. Diagnose the failing stage, implement the smallest measurable repair, and give engineers cases, thresholds, and operating signals they can rerun.

Book a 30-minute consultation

30 minutes. No deck. Leave with a clear next step.

Reliability services

AI reliability consulting services for measurable repairs

Reliability

RAG Rescue

Isolate the failing RAG stage and put measured behavior in CI.

See how it works

Reliability

LLM Evals

Build production-shaped cases, calibrated scorers, and a CI release gate.

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Reliability

MCP Servers

Ship a multi-tenant MCP server with server-side authorization and auditable tools.

See how it works

Reliability

Model Migration

Move providers with eval parity, staged traffic, and a tested rollback.

See how it works

Reliability

Durable Workflows

Make long-running agent work resumable, idempotent, and operable.

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Reliability

AI Cost Rescue

Tie spend to completed workflows, then remove measured waste behind eval guardrails.

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The shared artifact

An eval harness on your data, in your CI.

Every reliability scope begins with production-shaped cases and ends with a system your team can rerun. The harness keeps product behavior visible when prompts, models, data, or routes change.

Cases

Golden examples and failure slices from production.

Measures

Quality, safety, latency, and workflow cost.

Release gate

Readable failures on every material change.

FAQ

AI Reliability Engineering

Bring the production failure. Leave with a measured repair.

Book a 30-minute consultation

30 minutes. No deck. Leave with a clear next step.