Our Thesis
The Problem
When a company reaches 1,000 employees, the Complexity Tax becomes the greatest drain on capital. We hire consultants to spend six months and millions of dollars just to “discover” how work is actually getting done. Meanwhile, mid‑level managers are terrified to report their own bottlenecks.
The Status Quo
Despite all our SaaS tools, we rely on “vibes” and office politics to understand our own structural friction. When we try to fix it, we rely on subjective feedback that leads to bad restructuring, lost tribal knowledge, and legal liability.
The Solution
That's why we're building Scalar. By mapping the metadata of your actual workflows and running AI‑driven employee interviews, we surface the bottlenecks, redundancies, and opportunities that no consulting engagement will ever find.
Capabilities
Ingest any organizational data and map how work actually moves through your company — across departments, tools, and people.
Purpose-built analytical methods that measure dimensions no existing tool can see — from hidden influence networks to structural resilience.
Conduct contextual interviews with employees to uncover the human context that metadata alone can't capture.
Automatically detect where your organization loses time and money — the structural tax that compounds silently across every handoff.
Identify single points of failure, key-person dependencies, and fragile process chains before they become crises.
Generate board-ready analysis for M&A, restructuring, or operational audits — in minutes, not months.
The Team
Founder
Scalar is built by Zorawar Sandhu.
After watching companies lose millions to structural complexity—bad restructurings, redundant teams, invisible bottlenecks—he started building the tool that should have existed years ago.
Open Roles
We're hiring our founding team.
Looking for engineers and operators who want to make enterprise structure something you can actually see, measure, and fix. If that sounds like you, reach out below.