Most software in architecture and engineering is decades old, and AI has been an afterthought in it. Cogram is building the alternative.

How I'd Approach the First 60 Days

I already read your case studies and your blog: real customer proof, current, and a blog that has published once since October 2025. Read what I found →

I'd start by finding where Cogram's existing traction actually comes from before building anything new. If AEC firms don't discover software through search, I want to know where they do: a peer, a conference conversation, a case study someone forwarded them. The first two weeks would go into mapping the referral and discovery paths your current customers actually took.

From there I'd build one AI-powered content and outbound system at a time, starting with whichever channel shows the clearest signal, rather than spreading thin across content, outbound, and events at once. By day 60 I'd want one working, AI-assisted growth loop live and measurable, even if narrow, over five half-built ones.

The Proof

Cogram's case studies already answer the question a content strategy usually invents from nothing: which firms trust you, and why. Read what I found →

At Reform, I built an AI SEO content engine that scaled output 100x and lifted non-branded organic traffic 48%. At Hank Robotics, I ran a Google Ads and LinkedIn Ads program that grew MQLs from 1 to 11 in 9 weeks. I've also built or customized 81 AI agent skills I use daily across content, SEO, paid, and outbound, 34 published publicly on GitHub, plus a full self-built cold outbound pipeline, scraping, enrichment, AI personalization, and deliverability infrastructure.

Let's talk about Cogram.

If this is the right problem for you, I'd like to talk about it directly.