Over the last 10 years, we have worked across the full company stack: individual contributors, tech leads, engineering managers, product managers, VPs, CTOs, and CEOs. That gave us a direct view into how companies actually run, and where they break down.
The pattern is consistent. Progress is hard to follow. Coaching quality varies from one manager to the next. Managers spend too much time chasing updates and reconstructing context. Leadership sees that things are moving slowly, but often cannot see why.
AI is making that gap more obvious. Teams can produce more, faster, but many companies are still operating with management systems designed for a slower pace. When execution speeds up but visibility does not, bottlenecks become harder to spot, alignment drifts faster, and managers spend even more time trying to piece together what is happening.
Managers and leaders should spend their time coaching, deciding, and removing obstacles not collecting updates across meetings, Slack threads, docs, and memory. The recurring work of collecting signal, connecting it to the right context, and surfacing what matters should be systematic.
Hilo helps companies collect the right signal when it is needed, combine it with the systems they already use, and turn it into clear operating insight. It helps managers and leaders reduce guesswork, see patterns earlier, and stay aligned on what matters most.
Hilo combines connected system data, targeted collection workflows, and analyzer workflows to surface the risks, patterns, and follow-ups that would otherwise be missed.
The goal is simple: give leaders a clear, up-to-date view of what is actually happening, along with the risks, patterns, and follow-ups that need attention.
Eric
Co-founder and CEO