Why I Built InteliG
I've been the CTO. I know what CTOs actually need — and it's not another dashboard.
Every CTO I’ve ever met — including me — runs the same loop.
You open Jira. 47 bugs. You open Linear. 12 in progress. You check GitHub. PRs stacking up. You look at the sprint board. “On track.” You pull up the dashboard your team built. Green.
And yet you know something is wrong.
The dashboard says green. Your gut says red. The problem isn’t the data — it’s that you’re assembling the picture yourself, from 15 tabs, every morning, and the picture is always incomplete.
I built InteliG because I was tired of being the human glue between fragmented systems.
What I Actually Needed
Not metrics. Not charts. Not another dashboard.
I needed to ask a question and get an answer I could defend in a board meeting.
- “Who’s shipping?” — Not who has commits. Who has merged, reviewed, deployed work that maps to a strategic initiative.
- “What’s stalled?” — Not what’s “in progress” on a board. What has code sitting unreviewed for 5 days.
- “Where’s the money going?” — Not a budget spreadsheet. Cost per commit, ROI per contributor, alignment per dollar.
These aren’t hard questions. But no tool answered them. So I built one.
The Signal Method
The core philosophy behind InteliG is what I call the Signal Method:
Signal over noise. Most engineering “data” is noise. Commit counts mean nothing. Story points mean nothing. What matters is: did the work land, did it align to strategy, and what did it cost?
Truth over comfort. Dashboards are optimized to make people feel good. InteliG is optimized to tell you what’s actually happening — even when it’s uncomfortable.
Intent to outcome. Connect what you planned (strategy) to what happened (code) to what it cost (finance). That’s the full loop. No one else closes it.
What Comes Next
InteliG isn’t a dev metrics tool. It’s a CTO intelligence platform. The difference: metrics describe the past. Intelligence explains the present and recommends the future.
Cortex — our AI reasoning engine — doesn’t just fetch data. It reasons across pillars: code, strategy, people, cost, knowledge. It synthesizes. It remembers context. It gives you an answer you can take to your CEO.
That’s what I needed. That’s what I built.