NOA is an automation consultancy that helps fast-growing companies scale their operations with low-code platforms and embedded AI. Working on Make, n8n, Retool, HubSpot and Pipedrive, the team designs process automations, builds custom internal tools, and trains staff to run automations themselves.
NOA is an automation consultancy that helps fast-growing companies scale their operations with low-code platforms and embedded AI. Working on Make, n8n, Retool, HubSpot and Pipedrive, the team designs process automations, builds custom internal tools, and trains staff to run automations themselves.
Process transformation consulting
NOA maps your operational bottlenecks and designs a roadmap that combines process redesign with the right automation stack before anything is built.
Custom low-code tools and automations
Using low-code platforms such as Make, n8n and Retool, NOA builds end-to-end automations and bespoke internal tools that fit your exact workflow instead of forcing you into off-the-shelf software.
AI embedded in real workflows
LLMs and OCR are embedded into existing workflows for document analysis, customer service and other high-volume repetitive work, rather than sold as a separate AI product.
Automation-first team enablement
NOA coaches your team on Make, n8n and related platforms so employees can build and maintain automations themselves, aiming for a durable automation-first culture.
強み・メリット
+Certified Make partner with hands-on experience across Make, n8n, Retool, HubSpot and Pipedrive
+Covers strategy, build and training in one engagement, so automation capability stays in-house
特化型Width.ai is an AI and machine learning consulting firm that has been building GPT-powered products since 2021. It helps companies design, prototype and ship production ML systems across natural language processing, computer vision, chatbots and business-process automation.
特化型Width.ai is an AI and machine learning consulting firm that has been building GPT-powered products since 2021. It helps companies design, prototype and ship production ML systems across natural language processing, computer vision, chatbots and business-process automation.
#1
