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ANI.Networks
07 · Service

Glue the intelligent parts together.

You have cameras, access, sensors, ERP, WMS, and an AI vendor on the slide deck. What you need is someone to make them talk to each other, reliably, in a way that's maintainable by humans. That's our integration practice.

Service promise

The value is never in one product — it's in the plumbing between them.

Signature outcomes

  • 99.9%Event pipeline uptime
  • 3-6wTypical pilot-to-production time
  • 0Vendor lock-ins created
The problem

AI vendors love demos. Production is a different sport.

Every AI startup will demo beautifully. Six weeks into pilot, you realize nobody's owned the integration: the cameras drop off the VLAN, the WMS event never lands, the alert emails go to a person who left. We own the plumbing.

Comparison

Traditional vs. ANI on this service

DimensionTraditionalANI Networks
Who owns integration
"Your IT team should be able to handle it."
ANI owns it, in writing.
Observability
Silent failures, no dashboard.
Every hop monitored, every drop paged.
Identity
Separate logins everywhere.
SSO + RBAC via your existing IdP.
Handover
Screenshots in an email.
Runbooks, dashboards, and trained humans.
Capabilities

The integration layer most projects forget to scope.

  • Data pipelines

    Webhooks, MQTT, Kafka, REST, RTSP-to-cloud — we wire sensors and cameras into the analytics platform of your choice with durable retry and monitoring.

  • Identity + access integration

    Okta, Entra ID, Google Workspace — so AI tools inherit your existing access model instead of inventing a new one.

  • Alert + workflow routing

    PagerDuty, Slack, Teams, ServiceNow, Jira — AI-detected events land where humans already work.

  • Custom model deployment

    On-prem, edge, or cloud — we stand up the GPU infrastructure and the MLOps runway so your data-science team can ship instead of operate.

How we run it

An integration delivery plan that won't rot.

  1. Step 01

    Reference architecture

    We map your current systems, your AI vendors, and your identity layer. You see the seams before we code.

  2. Step 02

    Pilot + harden

    One flow end-to-end, instrumented for failures. If it can't be observed, we don't ship it.

  3. Step 03

    Runbooks + handover

    Every integration has an on-call runbook, a monitoring dashboard, and a human owner — handed to your team if you want.

Expected impact

AI that actually shows up when it's supposed to.

Integrated systems we've deployed average 99.9%+ event pipeline uptime, less than 10% of the ongoing ops overhead of comparable in-house builds, and zero vendor lock-in by design.

99.9%Event pipeline uptime
3-6wTypical pilot-to-production time
0Vendor lock-ins created
Ready when you are

Let's build infrastructure that thinks.

Bring us a site walk, a floor plan, or a problem you're tired of re-explaining to three different vendors. We'll return a scoped, quoted, AI-native plan — usually within a week.