Your AI Models Are Degrading in Production Right Now. You Just Don't Know It Yet.

Deploying an AI model is the easy part. Keeping it accurate, cost-efficient, and reliable six months later is where most teams fall apart. Inference costs creep up because nobody is watching GPU utilization. Pipelines break at 2 a.m. and the on-call engineer has never seen the codebase. This is operational reality, and it is where Proplr's Managed AI Services operate.

We act as your Propulsion Partner for AI operations, the team that owns the uptime, performance, and cost posture of your production AI systems. Every Managed AI engagement is built on the Hybrid Resource model. Proplr engineers work alongside Proplr Agents to monitor, tune, and operate your AI workloads at a pace no staffing-only model can match.

Agent performance monitoring that catches drift before your users do.

You get a live Propulsion Score for every agent, a single number that tells you whether your system is healthy, drifting, or degraded, updated continuously and visible in your dashboard. No more guessing whether an agentic workflow still provides credible output.

Pipeline operations: 24/7, no excuses.

Inference endpoints, batch prediction jobs, feature stores, data ingestion, these are the moving parts that keep your AI systems running. We monitor all of them around the clock. When a Vertex AI pipeline fails, our Proplr Agents diagnose the failure, attempt automated remediation, and escalate to a practitioner only when human judgment is required. Most incidents resolve before your team wakes up.

We maintain runbooks for every pipeline in your environment, kept current by the same Proplr Agents that operate against them. Documentation rot is not a problem when the systems that use the docs also write them.

Cost governance that stops GPU waste.

AI infrastructure is expensive, and it gets more expensive when nobody is paying attention. We run continuous cost analysis across your inference fleet, GPU right-sizing, spot instance optimization, batch scheduling to avoid peak pricing, and idle resource termination. Every month you get a cost report that shows exactly where money went and where it should not have.

Our practitioners work with your engineering team to set cost guardrails, budget thresholds per model, per pipeline, per environment. When spend crosses a threshold, automated governance kicks in before the invoice surprise. This is not a dashboard you check when you remember. It is an active system that protects your margin.

Agent health and tuning.

If you are running Proplr Agents or any agentic system in production, you know they require ongoing attention. Prompts degrade as underlying foundation models update. Tool integrations break when APIs change. Response quality drifts in ways that are hard to catch without structured evaluation. We run continuous agent health checks, prompt performance benchmarking, tool call success rates, latency tracking, and output quality scoring against your defined baselines.

The Velocity Guarantee: 99.9% AI system uptime.

Every Managed AI engagement ships with a Velocity Guarantee, a measurable, enforceable commitment to 99.9% uptime for your AI systems. This is not a best-effort promise buried in a contract appendix. It is a binding target with defined response times, escalation paths, and remediation commitments. We publish your uptime metrics monthly. If we miss the target, we make it right. That is what separates a Propulsion Partner from a vendor who disappears after deployment.

The Velocity Guarantee covers inference endpoints, training pipelines and agent systems. It applies to availability, latency targets, and model accuracy thresholds that we define together during Propelling. You know exactly what you are getting, and so do we.