About Naologic

AI-Native ERP That Gives Every Manufacturer Fortune-500 Operational Firepower

Enterprise-grade intelligence has been locked behind multi-million-dollar contracts and armies of consultants for three decades. Naologic eliminates that gate - delivering true AI-native operational control to any manufacturer with 50 to 1,000 employees.

Mission

Democratize Operational Intelligence

Fortune-500 algorithmic firepower at mid-market price points - no consulting dependencies, no six-figure implementation, no technical debt carried from 1990s architecture.

Architecture

AI Woven Into the Database Layer

Intelligence embedded directly into the foundational data model - not a generative chatbot grafted onto legacy code - so workflows automate natively and bottlenecks surface before they cost you.

Deployment

93% Faster Go-Live Than SAP/Netsuite/Legacy ERPs

Implementation measured in weeks, not 18-month programs. Manufacturers go live on a fully operational platform without the consultant dependency traditional vendors require.

The Engineering Record

2B+

Lines of code generated

1.4M

Engineering hours saved

93%

Faster to production

98%

Reduction to build new features

A Belief About Architecture

Intelligence Built Into the Foundation Is a Different Thing Entirely

AI-native means intelligence lives at the database layer - embedded in the foundational schema from the first line of code, not added as a module after the fact. When that is true, workflows automate because the data model understands intent. Bottlenecks surface because the system reads operational telemetry continuously. The ERP does not wait to be asked.

The incumbent vendors built their codebases in the 1990s and have spent three decades layering complexity on top of architectural decisions that were never designed for intelligence. When they ship an AI feature, it is an interface over frozen logic. When we ship one, it changes how the underlying system reasons about your operation - because the foundation was always designed to support that.

One Foundational Layer Where Every Signal in Your Business Converges. Operations, quality, finance, and supply chain were never meant to live in separate systems. The architecture we built treats them as what they always were - one interconnected dataset that intelligence can reason across.

Shop Floor
Supply Chain
Finance
Quality
Sales
Open API
AI Agents
N
SAP
App Marketplace
naologic
Data Pipeline
Logic Pilot
SAP
NetSuite
HubSpot
QuickBooks

3 Convictions That Shaped Every Engineering Decision We Have Made. Not a product roadmap. Not a go-to-market thesis. The three principles that determined how this system was built and why it will outlast every architecture built before it.

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Operational Intelligence Is a Right, Not a Tier Every manufacturer - not just those with eight-figure software budgets - deserves a system that forecasts, automates, and learns from their operations. We did not build a lite version of enterprise software. We built the full thing at a price the market can actually sustain.

Read our pricing philosophy
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Complexity Is a Vendor Business Model, Not a Technical Necessity The consulting dependency that legacy ERP created was not an accident of technology - it was an architecture of lock-in. A system that can be implemented in weeks and configured without a developer is not a compromise. It is what software should have been from the start.

See how the Builder works
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Technical Debt Is the Tax on Every Decision You Did Not Make We carried no legacy codebase into this. Every module, every data model, every AI hook was written against a cloud-native foundation designed for the decade we are in. That is not a feature. That is the only honest way to build something meant to last.

Explore the architecture

A Complete Operating System for Manufacturing - Every Domain, No Gaps

Finance and Accounting

  • Accounts Receivable
  • Accounts Payable
  • General Ledger
  • Bank Reconciliation
  • Revenue Recognition
  • Period Close

Manufacturing and Quality

  • Shop Floor Management
  • Production Planning
  • Scheduling and Operations
  • Quality Management
  • Scrap Tracking
  • Manufacturing Orders

Sales and CRM

  • Lead Management
  • Opportunity Tracking
  • Sales Quoting
  • Blanket Sales Orders
  • Order Management
  • Shipping and Fulfillment

Procurement and Inventory

  • Purchase Orders
  • Vendor Management
  • Warehouse Management
  • Barcode Scanning
  • Demand and Replenishment
  • Stock Operations

AI and Logic Pilot

  • Autonomous AI Agents
  • AI Data Migration
  • Spreadsheet and Report Mode
  • Financial Analysis
  • Bottleneck Prediction
  • Workflow Automation

Platform and Builder

  • No-Code ERP Configuration
  • Custom Workflow Builder
  • Open API
  • App Marketplace
  • Role-Based Permissions
  • Audit Logging

Real-Time Dashboards

  • Operational KPI Tracking
  • Financial Reporting
  • Production Analytics
  • Custom Report Builder
  • Data Export
  • Real-Time Dashboards

Security and Compliance

  • SOC 2-Ready Architecture
  • Role-Based Access Control
  • Full Audit Trail
  • Data Encryption at Rest
  • Multi-Entity Support
  • User and Permission Management
Why We Exist

200,000 Manufacturers Have Been Running the World on Software That Was Never Built for Them

The Fortune 500 got SAP and Oracle. The mid-market got the same systems at the same price, stripped of support, and told to hire consultants to fill the gaps. That arrangement persisted for three decades not because it was technically necessary, but because no one with the engineering capability decided it was worth changing. We decided it was.

The Problem Was Never the Manufacturers

96% of ERP implementations overrun on time and budget - not because the companies running them lacked discipline, but because the software was architected for a different era and a different customer entirely. A system designed for a company with a dedicated SAP team of 40 people does not scale down gracefully. It just charges the same and delivers less.

The Standard We Hold Ourselves To

Every architectural decision in Naologic is measured against one question: would a manufacturer running 300 employees be able to operate this, own this, and build on this without external dependency? If the answer requires a caveat, the decision is wrong. That constraint is not a limitation. It is the entire point.

Naologic in the Press

What the organizations shaping AI infrastructure and enterprise software are saying about how we build.

Enterprise software has had one job for 40 years. It is only recently that anyone asked whether it was doing it. If that question interests you - whether you run a plant, allocate capital, build production systems, or are deciding where to spend the next decade of your career - we would like to hear from you.