The AI-native ERP trying to talk factories out of their 18-month software projects.
Above: Naologic's calling card - one platform where a sales quote, a work order, and a journal entry all live in the same room. Photographed mid-pitch, mid-decade.
Aresin compounder somewhere in the American Midwest takes an order at 9 a.m. By 9:01 the manufacturing order exists, the raw-materials math is done, the Gantt chart has rescheduled itself around the new job, and the finance module has already booked the revenue it expects. No one emailed anyone a workbook. No one is waiting for the "ERP guy" to come back from lunch. This is Naologic running in the background, and the people on the floor mostly forget it is there. Which, if you have ever met enterprise software, is the strangest compliment you can pay it.
Naologic is a San Francisco software company building a single, AI-native system that runs a manufacturing business end to end - shop floor to general ledger, sales quote to shipping label. It folds together the four acronyms that usually require four vendors and four contracts: ERP, MRP, CRM, and QMS. The pitch is almost rude in its simplicity: you should not need consultants, custom code, or a calendar that says "Phase 2: 2027" to get your factory onto modern software.
Replace your manufacturing stack in 14 days.- Naologic's homepage, daring you to disagree
The enterprise-software industry has a quiet arrangement with itself. The license is the appetizer; the implementation is the entree. A traditional ERP rollout for a mid-sized manufacturer can run a year and a half, swallow a small army of consultants, and arrive - if it arrives - as a customized one-off that nobody on staff fully understands. The vendor calls this "tailoring." The customer calls it the year they did not sleep.
So the typical factory of 50 to 1,000 people did the rational thing: it gave up on one system and ran six. A standalone inventory tool here, a shipping integration there, accounting in one place, the shop floor managed in a spreadsheet held together by one person's institutional memory. Each tool works. None of them talk. The result is a business that cannot answer a simple question - "what does this order actually cost us?" - without three exports and a prayer.
Everything we do is configurable through a visual interface, which makes it easy for businesses to create and connect custom data models that match their existing data sources.- Gabriel Paunescu, Co-Founder & CEO
That gap - between what big ERP promised and what mid-market manufacturers could actually afford to live with - is the tension Naologic exists to resolve. Everything else is detail.
Gabriel Paunescu co-founded Naologic in 2017 with a conviction that sounds modest until you notice how much of an industry it threatens: that enterprise software should be configured, not coded. He started by building "business autopilots" - no-code apps that sat on top of a company's existing legacy ERP, captured its data, and applied automation across the business. The early product was less a replacement than a translator, teaching old systems new tricks.
The bet underneath it was about who holds the keys. If a factory can model its own data through a visual interface - drawing the boxes and arrows that match how it actually works - then it no longer rents its understanding of itself from a consultant. The software becomes legible. And legible software is software a company can change on a Tuesday afternoon without filing a ticket and waiting three weeks.
No-code apps layered over legacy ERP, capturing data and automating around it.
Configure through a visual interface. If you can draw it, you can run it.
Founder's note: a company that can read its own ERP is harder to hold hostage. Naologic treats that as a feature, not a side effect.
What ships today is more ambitious than the wedge that started it. Naologic is now an AI-native ERP with eleven integrated modules - finance and accounting, sales and quoting, CRM, manufacturing, shop-floor management, inventory, warehouse, procurement, vendor management, shipping and fulfillment, and product/item management. The point is not the count. The point is that all eleven read and write to the same live thread of data, so the quote and the journal entry are looking at the same numbers at the same moment.
On top of that sits the AI. Naologic ships domain-specific "AI Experts" - agents trained on a customer's own proprietary data - that answer strategic questions, generate reports, and run autonomous multi-agent workflows without a data scientist in the loop. Its Logic Pilot layer will give you an answer three ways: as a text reply, as a visual report, or - in a flourish that is either charming or slightly unnerving - as an actual phone call.
Agents trained on your data that answer questions, write reports, and orchestrate workflows.
Answers by text, report, or phone call. Cross-departmental analysis included.
Visual data models that match how your business already works.
FDA, ISO, and GMP guardrails built into the manufacturing modules.
Nine domain-specific AI experts. Zero data scientists required.- The part of the demo where the room goes quiet
A timeline with no decade-long detours. For a company selling speed, that is on brand.
A promise to replace your ERP in two weeks is, on its face, the kind of thing you hear right before a project quietly slips to eighteen months. So the relevant question is whether the receipts exist. Naologic's reported figures are specific enough to be checkable, which is itself a small act of confidence.
Approximate, drawn from Naologic's stated deployment figures and typical mid-market ERP timelines. Shorter is the whole point.
The yellow bar is the sales pitch made into a rectangle. Treat vendor metrics with healthy suspicion - but note how little room there is to fudge "3 to 5 weeks."
The customer stories follow the same shape. A Midwest injection molder deployed in 22 days and switched off six separate systems. An extrusion manufacturer reported a 40% drop in scheduling conflicts and dropped its consulting retainer. A resin compounder hit full batch traceability in 30 days. Underneath them runs a modern stack - TypeScript, NestJS, Angular, MongoDB, Redis - and a notable cloud partner: Naologic appears as a featured Google Cloud customer, leaning on BigQuery for the data-heavy AI work.
Most of our customers are live in three to five weeks, including data migration and user training.- Naologic, on the timeline most vendors would rather not commit to in writing
Naologic's stated ambition is to be the operating system for the factory - and specifically the factory that the giants of enterprise software find too small to court properly and too complicated to serve cheaply. Plastics shops. Injection molders. Electronics makers. The businesses that keep physical things moving and have been told, for years, that real software is a luxury reserved for people with a CIO and a budget to match.
The mission is less about AI for its own sake than about removing the toll booth between a manufacturer and a system it can actually use. Configuration over customization. Weeks over years. One data thread over six lonely tools. If the company has a chip on its shoulder, it is a useful one.
We launched Naologic to build business autopilots that connect a company's data sources and optimize the value of their current platforms.- Gabriel Paunescu, Co-Founder & CEO
Return to that resin compounder. A year before Naologic, the 9 a.m. order would have kicked off a relay race of exports and reconciliations, and the question of what the job actually cost would not have a confident answer until the month closed - eleven, maybe fourteen days later. Now the close takes two days, the AI expert can be asked the cost question out loud, and the person who used to hold the shop floor together in a spreadsheet is doing something more interesting with their afternoon.
Whether Naologic becomes the operating system for the mid-market factory or one ambitious contender among several, the bet it is making is the one worth watching: that the next decade of manufacturing software will be measured in weeks-to-value, not years-to-regret, and that the AI sitting inside the ERP will be judged by whether it answers the question - not whether it sounds impressive doing it. The factory that boots in two weeks is no longer a slide. For a growing handful of plants, it is just Tuesday.
The factory that boots in two weeks is no longer a slide. It is just Tuesday.- Closing argument
Product demos, the CEO's writing, and the case study - watch and read before you decide.
Facts here are drawn from public sources - Naologic's own site, Crunchbase, Google Cloud, and press. Figures marked approximate are estimates, not gospel.