arosplatforms™AI consultancy

AI

ar

Infrastructure & MLOps

AI Infrastructure & MLOpsThe plumbing that scales.

Evaluation, observability, and CI/CD so what you ship stays fast and safe, the unglamorous plumbing that lets AI scale without breaking.

CI/CD
for models
monitored
in production
tuned
cost & latency
99.9%
uptime target
arMonitoring Live
120ms
p95 latency
99.95%
uptime
↓38%
cost / call
The overview

The plumbing that scales.

The reason AI projects rot in production is missing infrastructure, no evals, no monitoring, no CI/CD. We build the plumbing so your AI stays fast, safe, and improvable.

We stand up evaluation and monitoring, model CI/CD, and the vector and data infra you need, then tune cost and latency so scale does not break the budget.

It is the layer that turns a working prototype into a system you can run for years.

See it in action

The plumbing, visible.

Scroll through it, the screens move with you.

01 Monitoring

Know the moment something drifts

Quality, latency, and cost monitored in production, with alerts before users feel it.

arMonitoring Live
120ms
p95 latency
99.95%
uptime
↓38%
cost / call
02 Alerts

Caught before it cascades

Regressions, drift, and cost spikes detected and alerted automatically.

arAlerts Live
Quality drop · v2.3now
Latency spike · region eu4m
Cost within budget1h
03 Model CI/CD

Ship changes with confidence

Every change runs the eval gate before release, so quality never regresses silently.

arCI/CD Live
ReleaseEvalsStatus
v2.4PassedDeployed
v2.3PassedLive
v2.5RunningStaging
What's included

Everything in the engagement.

Eval & monitoring

Measure quality, latency, and cost in production with alerting.

Model CI/CD

Ship model and prompt changes through an automated eval gate.

Cost & latency optimization

Tune routing, caching, and models so scale stays affordable and fast.

Vector & data infra

Stand up the data and vector infrastructure your AI depends on.

Reliability & safety

Guardrails, fallbacks, and SLAs so production stays dependable.

In your environment

Runs in your cloud, owned and operated by your team.

How we engage

A clear path from kickoff to value.

01

Scope & align

We align on goals, constraints, and what success looks like, then scope a focused engagement with a clear baseline.

02

Assess & design

We assess your starting point and design the approach, architecture, and sequencing before a line of code.

03

Build & deliver

We build and ship in the open, with checkpoints and your team alongside, never a black box.

04

Operate & hand over

We harden, document, and hand over. Your team owns it, with managed support where you want it.

The outcomes

Results you can measure.

↓38%

Cost per call

from routing and caching

99.9%

Uptime

reliable in production

no silent

Regressions

eval gates on every change

Who it's for

Built around your starting point.

Platform teams

Scaling AI

Add the infra to run AI reliably at scale.

Engineering leaders

Cost control

Cut latency and spend without losing quality.

SRE & ops

Reliability

Monitor, alert, and ship AI with confidence.

By industry

AI Infrastructure & MLOps for your industry

Deep-dive pages with sector-specific use cases, delivery steps, and FAQs.

Tools we work with

LangSmithDatadogGrafanaGitHub ActionsKubernetesAWS / Azure / GCPSnowflakePinecone
Questions

Frequently asked.

Evaluation, monitoring, model and prompt CI/CD, cost and latency optimization, and the data and vector infra underneath.

Build the plumbing AI needs to scale

Book a working session and we'll map AI Infrastructure & MLOps to your operation, then move fast.