Agentic AI Consulting

Intelligence at the
intersection of data
and action.

MeridianIQ designs and deploys production-grade AI agent systems for mid-market manufacturers, data engineering teams, and industrial operators. Systems that run autonomously after handoff — not demos that need ongoing support to function.

2
Live deployments
5
Agent pipelines
IQ
Product suite
Proof of Work

Built and deployed.
Not prototyped.

Live
OpsIQ
Manufacturing · Fleet Intelligence

A 5-agent LangGraph pipeline that monitors AGV fleets in real time. Detects deadlocks, predicts equipment failures using NASA CMAPSS sensor data, routes alerts to the right operations staff, and generates executive-ready reports — all without human intervention.

LangGraph Claude API Pydantic V2 Streamlit MCP Server 5 Agents
View live demo
Live
DataIQ
Data Engineering · Pipeline Intelligence

A 5-agent dbt pipeline monitoring system that detects schema drift, data quality failures, and performance regressions before they reach downstream dashboards. Produces three-audience reports — data engineer, analytics manager, and business stakeholder — simultaneously.

LangGraph Claude API dbt + DuckDB Streamlit 4 Failure Scenarios 5 Agents
View live demo

Domain intelligence.
Productized.

Every IQ product follows the same architecture — a multi-agent pipeline that reads your operational data, reasons over it, and delivers findings to the right audience at the right time. Built once, deployed autonomously, maintained without a support contract.

OpsIQ
Manufacturing · Fleet Intelligence
Live
DataIQ
Data Engineering · Pipeline Intelligence
Live
HealthIQ
Healthcare · Revenue Cycle Intelligence
Roadmap
SupplyIQ
Supply Chain · Risk Intelligence
Roadmap
EngineerIQ
AEC · Structural Intelligence
Roadmap

Five questions.
Every engagement.
Every domain.

We developed this methodology building production agentic systems from scratch. The same five questions produce the right architecture every time — regardless of vertical. We start with how your best analyst works, not with the technology.

01
Map the Workflow

Walk me through what your best analyst does when the problem happens. Step by step. Their answer becomes the agent architecture — one agent per human decision point.

02
Inventory the Data

What data exists, what is its quality, what is accessible, and what can be synthesized. We understand what we're working with before designing what should exist.

03
Design the Agents

What decision does each agent make? What inputs does it need? When would a human skip this step? Agents emerge from workflow analysis — they are never invented.

04
Build the Tools Layer

Deterministic Python handles computation. Claude handles judgment. We separate them precisely — tools never reason, agents never compute.

05
Wire the Pipeline

State schema, routing logic, error handling, observability. The pipeline is wired last — only after the architecture is right.

How We Work

Value at every step.
No lock-in.

Ready to build
something real?

Start with a free AI Readiness Audit — 45 minutes, no commitment. We identify where agentic AI creates immediate value in your operations.

Or reach us directly at info@meridianiq.co