Nomic

Nomic

Nomic is a specialized AI workspace and project delivery platform for architecture, engineering, and construction (AEC) firms. It transforms unstructured project data—drawings, specs, RFIs, submittals—into AI-ready knowledge, enabling trusted agents to automate high-value workflows. Core capabilities include automated drawing review, code compliance checks against 380+ standards, submittal review, and firm-wide detail search, all with cited answers and PDF markups. The platform integrates with existing systems like Autodesk, SharePoint, and Bentley, connecting institutional knowledge where it lives without requiring data movement. It is built for real AEC workflows, offering out-of-the-box agents and a developer API for building custom solutions. Nomic targets engineering teams, project managers, and BIM specialists, aiming to accelerate coordination and reduce manual review time by providing grounded, trustworthy AI insights.

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Added on
Sep 22, 2026
AEC AI PlatformDrawing Review AgentCode ComplianceSubmittal ReviewAgent APIDocument Parsing
Product information

Everything worth knowing about Nomic

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Drawing Review
Automated checks of construction drawings and plans against your firm's standards, delivering cited PDF markups.
Code Compliance Checks
Verify drawings against 380+ building codes and standards, getting cited answers with specific references.
Submittal Review
Automate submittal review by cross-referencing packages against your drawings and specs, generating structured outputs.
Project Knowledge Search
Conversational access to your firm's institutional knowledge, including drawings, specs, and reports, with source citations.
Technical capabilities
Nomic Parse
Domain-specific document parsing engine for large, complex AEC files like 200-page drawings and 800-page specs.
Agent API
APIs and models for building custom AI agents over AEC data, including drawing parsing, data extraction, and workflow orchestration.
Must watch videos
wajib cobaaa gakksiiii....GPT4ALL
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Tutorial24:43
wajib cobaaa gakksiiii....GPT4ALL
Tutorial pake AI GRATIS di PC atau laptop spek low-end. opensource local AI yang paling cocok buat spesifikasi komputer yang terbatas. support semua sistem operasi: windows, linux & macOS. Spek minimal: - Dual Core CPU - RAM 4GB download ai nya langsung official: https://docs.gpt4all.io/index.html website resmi: https://www.nomic.ai/gpt4all opensource githubnya: https://github.com/nomic-ai/gpt4all Transfer DONASI: https://saweria.co/deaafrizal Instagram: https://www.instagram.com/dea.afrizal/ membership youtube: https://www.youtube.com/channel/UCU7YluxOYon-yofPxfGHVog/join #programming #tutorial #coding Github: https://github.com/deaafrizal backsound: https://youtu.be/eoFXLBKGU44?si=NZMttkbg8u-Fgte1 ================= 💌 Email (for business) 💌 deascript@icloud.com ================== 🔻🔻🔻 SUBSCRIBE 🔻🔻🔻 For More Update 🔺🔺🔺LONCENGNYA 🔺🔺🔺
GPT4ALL Tutorial: Create a Local RAG with No Coding
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Tutorial21:52
GPT4ALL Tutorial: Create a Local RAG with No Coding
Join AI Dev Skool & Launch Your AI Startup Today! https://skool.com/ai-software-developers is the community for founders, builders, and AI innovators ready to take their projects to the next level. If you're launching an AI startup or working on a side project, stop wasting time on endless tutorials and start focusing on what really matters. Inside AI Dev Skool, you'll: ✅ Get expert guidance on the best AI frameworks ✅ Cut through the hype and go straight to what works ✅ Maximize your time with curated resources and real-world insights ✅ Build strong connections with like-minded developers and founders Our best members actively engage, share, and build—gaining skills while turning ideas into real businesses. If you're serious about AI development and want a shortcut to success, this is the place for you. 🚀 Join now and start building smarter: https://skool.com/ai-software-developers Want to build a Retrieval-Augmented Generation (RAG) system that is completely free, runs locally on your machine, and keeps your data private? And best is: it's completely No Code, so you don't have to be a developer to run it! In this step-by-step tutorial, I’ll show you how to set up a RAG pipeline using GPT4ALL—a powerful, open-source system that works offline. It comes with a beautiful UI, and it makes creating and managing local file collections a breeze. What are you using your RAG system for? Join the conversation at https://discord.gg/eQXBaCvTA9 Whether you’re looking to query your personal documents, PDFs, or knowledge base, this tutorial will guide you through the process, including: ✅ What is GPT4ALL and why it’s important? ✅ Setting up GPT4ALL on your local machine. ✅ Building a private document retrieval system. ✅ Testing multi-model queries, vision models, and uncensored models. 💻 Multi-Model Queries: Learn how to configure GPT4ALL to handle multiple models simultaneously for diverse responses. 💻 Vision Models: Set up and test vision-capable models to process and interpret images locally. 💻 Uncensored Models: Understand how to use and evaluate uncensored models responsibly while keeping everything private. ✅ Integrating everything into a seamless workflow. By the end of this video, you’ll have a fully functional RAG system that you control—no cloud, no costs, and complete data privacy. Perfect for developers, researchers, or anyone looking to build their own AI-powered knowledge assistant. 🔗 Links & Resources: - Skool: https://www.skool.com/ai-software-developers - Code the Revolution: Newsletter - https://aidev9.substack.com/ - Discord server: https://discord.gg/eQXBaCvTA9 - GPT4ALL Download: https://www.nomic.ai/gpt4all - Archive.org: https://archive.org/details/books?tab=collection&query=linux&page=2 #ai #openai #gpt4all #mistral #pixtral #llm #developer #software #tutorial #genai #rag #nocode #uncensored #vision #llama #local #private #chatgpt 🕒 TIMESTAMPS: 00:00 - Introduction 00:58 - Download GPT4ALL 02:30 - Explore models 02:54 - Settings 05:40 - Simple chat 10:00 - Download PDFs 10:56 - Create book collection 12:20 - Chat with books 14:35 - Vison models 16:36 - Chat with images 18:26 - Explore uncensored models 20:00 - Uncensored chat 21:40 - Conclusion
I Tested EVERY Local AI App to find the BEST
15:44
Tutorial15:44
I Tested EVERY Local AI App to find the BEST
In this video, I decided to test several local AI apps to find which one is the best for me. Local AI can be used as an assistant to your daily tasks, without needing to pay a subscription, be connected to the internet or hand over all your data to some private company. Timestamps: 00:00 Intro 00:25 Jan 01:37 Newelle 03:06 Alpaca 04:15 Ollama 05:05 Msty 06:33 Reins 07:08 GPT4All 07:46 OpenWebUI 09:02 Clara 10:12 LibreChat 10:56 LM Studio 12:39 Elia 13:27 Unsloth 14:21 AnythingLLM 15:25 Conclusion Links (not sponsored): Jan: https://www.jan.ai Newelle: https://newelle.qsk.me Alpaca: https://jeffser.com/alpaca Ollama: https://ollama.com Msty: https://msty.ai Reins: https://github.com/ibrahimcetin/reins GPT4All: https://gpt4all.io OpenWebUI: https://docs.openwebui.com Clara: https://claraverse.space LibreChat: https://www.librechat.ai LM Studio: https://lmstudio.ai Elia: https://github.com/darrenburns/elia Unsloth: https://unsloth.ai AnythingLLM: https://anythingllm.com

Who uses it

Real use cases, no hype
Automated Drawing Review
AI scans entire drawing sets against your QA/QC standards, flags errors, and generates cited PDF markups.
Code Compliance Checking
Verify permit sets against 380+ building codes and standards, getting cited answers with specific references.
Submittal Review & Log Setup
Cross-reference submittal packages against drawings and specs, automating first-pass review and log generation.
Firm-Wide Detail Search
Instantly retrieve specific details from thousands of historical drawings without manual folder digging.
Active Project Research
Query across drawings, specs, and RFIs in a single chat interface to answer complex coordination questions.
BIM/IFC Model Intelligence
Run quantity takeoffs, coordination checks, and data validation on IFC models without Revit or specialist software.
Institutional Knowledge Grounding
Operationalize expertise trapped in disparate systems (SharePoint, Procore) for AI-powered search and workflows.
What's great
  • Domain-specific parsing for complex AEC data (drawings, specs, IFC).
  • Out-of-the-box agents for high-value workflows like drawing review & code compliance.
  • Deep integration with core AEC tools (Autodesk, SharePoint, Bentley).
  • Strong data security posture with zero retention and multi-region hosting options.
Technical strengths
  • Proprietary 'Nomic Parse' and 'Embed' models handle multimodal AEC data better than generic foundation models.
  • Agent API allows custom workflow orchestration over parsed project data.
  • Structured outputs (cited answers, PDF markups, issue logs) designed for professional workflows.
Where it falls short
  • Significant cost for team use ($40/user/mo minimum) with a 25-seat Business plan gate.
  • Pricing is opaque—AI usage costs are pass-through and can spike with heavy document indexing.
  • Free and Individual plans lack critical enterprise features like SSO, integrations, and API access.
  • Steep learning curve for non-technical users to leverage full workflow automation.
Technical limitations
  • Data connectivity is core-locked; airtight integration with niche legacy systems is not guaranteed.
  • Agent behavior and prompt engineering for custom workflows require significant tuning.
  • Dependency on third-party foundation models (Anthropic, Google) for core LLM capabilities.
For technical folks

The deep-dive specs

FAQ

Includes technical Q&A
A seat is one named user. The Business plan has a minimum of 25 seats and is billed per user per month.

Traffic Insights

Monthly Visits

—

October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Productivity

Top Country

—

Top Countries Breakdown

—

Growth Trend

Stable

Traffic has remained stable.

Honest pricing

No sneaky tiers, no “contact sales”

Here's who each plan is actually for — and where the hidden charges might hit.

Individual
Most picked
$20 / mo.

Individuals

  • Extended agent requests
Business
$40 / user / mo.

Teams

  • $20 included AI usage per seat
Enterprise
Custom

Enterprise

  • Pooled usage commits
View Full Plans & Pricing on Nomic

Official pricing, checkout, and plan upgrades are handled directly on nomic.ai.

Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
Not reviewed yet
G2
G2
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Capterra
Not reviewed yet
Product Hunt
Not reviewed yet
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