Presenting: Zamski – Institutional Memory for Dev Teams
Details
Zamski (https://www.zamski.com) – Founder Eli Landon presenting, is an AI-powered knowledge platform for engineering teams.
Zamski gives engineering teams institutional memory by surfacing what matters from messages, wikis, commits, and tickets. It helps developers avoid duplicate work, prevent outages, and stay aligned in real time. By integrating across tools, Zamski delivers insights that reduce onboarding time, improve communication, and preserve engineering knowledge even as teams grow or change. Instead of knowledge being scattered across tools, Zamski brings context and clarity into one place—wherever engineers work.
Our target market is mid-sized to enterprise software engineering teams in the US who need better visibility, alignment, and knowledge retention across tools & are willing to pay for AI-powered operational efficiency and reduced engineering waste.
Our competition is Glean, LinearB, and internal tools. Our competitive advantage is our focus on surfacing institutional memory across multiple tools, purpose-built for engineers, without requiring extensive setup.
The total market size in 2024 is $25B+ in developer productivity and collaboration tools, and the total market revenue in 2024 is $2B+ in emerging AI-powered internal knowledge tools.
Top 3 challenges:
- Cutting through the noise in a crowded AI/devtools/chatbot space
- Cold start problem (can’t provide value without access to customer data)
- Building credibility quickly without existing case studies or customer logos
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Our Pitch Boulder ask: We’re looking for honest feedback on what resonates (and what doesn’t), whether the problem feels real to the audience, and whether the solution feels like a must-have vs. a nice-to-have. We’d also love thoughts on go-to-market positioning in a crowded space.
