Technology + AI for AEC firms
Make AI hype, struck out,useful across your AEC firm.
The knowledge hub for AI in AEC: free tools, independent research, and AI implementation services for firms.
AI strategy and implementation services
AI strategy consulting and implementation services
For architecture and engineering firms. We advise on where AI fits and what to do first, and we build and put into production the tools and automations that follow.
Strategy
AI strategy retainer, from $1,000 a month
A standing advisor for AI decisions: the firm's roadmap, build or buy calls, vendor second opinions, and a monthly leadership session. Scaled to the involvement your firm needs.
AI strategy discovery and definition, $5,000
A one-month assessment of where the firm stands on AI, the opportunities ranked by business value, and a sequenced roadmap with a final report and readout.
AI evaluation and testing
Side-by-side tests of AI tools on your own documents and policies, such as Notion AI against Copilot on the accuracy of answers about firm policy, with the results written up.
Implementation services
AI harness setup
Claude, ChatGPT, or Copilot configured, formalized, and put into daily use with the firm's own context.
Foundations for AI
A data lake for the firm, so AI can use your project, finance, operations, and design data reliably.
Automation
Custom-trained assistants, such as one that drafts replies to clients and partners from firm-specific context.
Proof of concept, $1,000
A working prototype built in days to validate an idea or test an integration before the firm commits to a full build.
Enterprise applications, from $5,000
Pursuit and proposal generation, detail search, and other applications built for one firm and put into production.
To get started, book a free 30-minute AI strategy session. The applications we have built are on the case studies page.
How we help
Learn, explore, and evaluate
01 · Learn
Learn how to implement AI
Articles, study guides, and reports on what works inside architecture and engineering firms, plus the news and events we track each week.
Start with the study guides02 · Explore
Explore AI tools
Describe your task and get recommendations from the 490+ tools we review, then compare them and keep the ones you are evaluating in one place.
Search the tools03 · Evaluate
Evaluate your AI implementation
Score your firm, cost one workflow, see how foundation models perform on AEC tasks, and check the industry data behind any claim.
Take the readiness scoreFree account
Save tools, plans, and your tech stack
A free account keeps your recommendations, saved plans, and tech stack in one place and lets you follow AEC tech companies as they ship.
Learn
Reports and articles
Industry reports built from federal and firm data, and articles on how architecture and engineering firms are putting AI to work. All free to read.
How AEC Hub Recommends Technology for AEC Firms
What the recommender considers when you describe a task: the problem first, the approach before the product, tool fit, what you may already own, and when it says no tool is a good match. Vendor relationships and our own services do not change rankings.
ReadAI Implementation for Architecture and Engineering Firms: What It Takes
Clean project data first, permissions that hold, then one workflow shipped with a person reviewing it. What AI implementation looks like inside an A/E firm, with the medallion data pattern in plain terms, a Copilot governance test, a deployment case study, and a 90-day plan.
ReadHow Should My Architecture Firm Use AI? A Practical Answer
Start with one workflow, measure it, and ignore most of what is marketed to you. Where AI pays back first in an architecture firm (proposals, firm knowledge search, drawing QA), what to avoid, and a 90-day plan any 10-100 person firm can run.
ReadThe Latest in AEC AI and Tech: What Actually Matters
A running answer to the question every firm leader asks: what is actually new, and what does it mean for my practice? Funding, incumbent moves, new tools, and market signals, refreshed monthly from our weekly news tracking.
ReadLatest
News and events
News
All news- ProductSeptember 8, 2026PlanAId launches AI-assisted building-code review
- AISeptember 3, 2026OpenAI releases GPT-6 Astra for long, tool-driven professional work
- ProductSeptember 3, 2026Asite launches an AI project-intelligence workspace for architects
- FundingSeptember 3, 2026Arcadis and Aurecon invest in Nomic and expand firm-wide AI-agent deployments
Upcoming events
All events- Sep102026 BIM Hero DAO Launch, AGM & SummitLoews Nashville Hotel, Vanderbilt Plaza, 2100 West End Ave, Nashville, Tennessee, USA, 37203 · Summit
- Sep15Autodesk University 2026Las Vegas, NV + Online · Conference · through Sep 17
- Oct5AI Across the AEC Industry: Data to DesignCollege Station, TX · Summit · through Oct 6
- Oct11ACI Concrete Convention – Fall 2026Atlanta, GA · Conference · through Oct 14
Learn about AI implementation
How to implement AI in a firm
A strategic view starts with the context an AI needs, not with a tool. An AI model answers from what it can read. The models firms already have access to, through Copilot, Claude, and Gemini, are capable enough for most firm work. What a firm adds is context, and context comes in three layers.
The industry layer is codes, the market, and the tools available. The firm layer is standards, people, and the financial and project data in your accounting, timesheet, CRM, and project management systems. The project layer is the models, the mail, and the drawings for one job.
The firm layer is where most firms are missing a foundation. Its data sits in five or six systems that do not join, so we build data foundations, a data lake, where that data is pulled in, cleaned, and governed. Once it exists, dashboards, Copilot, and any assistant you build read from the same trusted tables.
Our thoughts on AI: a strategic and practical view
Model, harness, workflow, and firm context
The model is the smallest of the four parts. The harness around it, the workflow it runs in, and the firm's own context decide whether the output can be used.
The visual guideThe human review loop
Records feed context, the AI drafts, a professional approves or corrects, and the corrections go back into the records so the next run is better.
Our thesis on AIEvidence and citations
An answer a firm can act on cites the mail, the model element, or the spec section it came from, and the method used to get there.
Verifiable AI, explainedBuilt by AEC Hub
Products
AEC Hub Proposals
Finds RFPs, extracts every requirement, qualifies the pursuit, and drafts from your past proposals and project records. A person reviews every draft before it goes out.
Request early accessIn use with the first firms. Sign up to be in the next group.AEC Hub Platform
Connects your models, project mail, and standards to an assistant that cites its sources. In private pilot with the first firms, with guided setup for each workspace.
Request early accessStill being built. Sign up to be in the next group.Bring one workflow to a free 30-minute AI strategy session and leave with a plan for it.
Book a free AI strategy session